The global beverage industry operates under sustained and intensifying public health scrutiny. Regulatory bodies, health advocacy organisations, and international agencies - led by influential global health authorities - have progressively strengthened the narrative that there is no safe level of consumption.
For the world’s largest beverage producers and the industry alliances that represent them, this is an operational reality that affects licensing, labelling, advertising, and market access across dozens of countries simultaneously.
The alliance - a consortium of more than fourteen major international producers - serves as the coordinating body for the industry’s engagement with regulators, health authorities, and media on regulated product policy.
Its mandate required continuous monitoring of the evolving debate over consumption moderation, tracking the stakeholders driving these narratives, and producing regular intelligence reports for member companies and senior leadership. The complexity of this task - spanning multiple geographies, languages, stakeholder categories, and policy arenas - far exceeded what manual processes and fragmented tools could sustain.
TSC.ai was deployed as the centralised stakeholder and issue intelligence platform underpinning the alliance’s monitoring, analysis, and reporting operations. Genie became the structured intelligence layer through which the team tracked media narratives, mapped stakeholder positions, detected sentiment shifts, and delivered executive-ready reporting. This transforms a reactive, person-dependent process into a scalable, institutionalised capability.
TSC.ai deployed its stakeholder and issue intelligence platform, Genie, as the centralised operating system for the alliance’s monitoring and reporting function. The system was configured around two core issues: tracking relevant health and consumption narratives, with real-time media ingestion spanning global news sources, health and policy publications, and social media feeds from over 80 tracked stakeholder handles.
The platform linked media signals directly to the stakeholders driving them, enabling the team to see not just what was being said, but who was saying it.
Sentiment analysis, geographic heatmapping, and narrative tracking provided a layered context that the previous manual approach could not deliver at scale. Ask Genie - the platform’s AI-powered query engine - gave analysts the ability to run investigative queries against the full intelligence base, surfacing connections and patterns that would otherwise require days of manual research.
Weekly and monthly reporting workflows are set up automatically - pre-classified by relevance, sentiment and geography. This reduces the previously required synthesis time and additionally improves the consistency and defensibility of every deliverable sent to member companies and leadership - without needing to triangulate every source.
The alliance needed to track one of the most consequential public health narratives of the decade: the evolving scientific and media debate over consumption safety. This debate intensified significantly when a major national health authority issued a landmark advisory linking alcohol to cancer risk. This development generated more than 1,750 media articles within days, spanning geographies from the United States to Europe, Asia, and Latin America.
The team needed to rapidly assess how the story was being framed. Which outlets were amplifying the critical narrative versus the moderation counterpoint? How was coverage distributed geographically? And which stakeholders were driving the conversation?
Genie’s context-aware media monitoring system automatically classified incoming media against the two monitored debates, enabling the team to filter the 1,750+ articles down to 376 unique pieces directly relevant to the framing.
Geographic heatmapping revealed where the story gained the most traction, with a heavy concentration in the United States, the United Kingdom, and Canada. Meanwhile, sentiment analysis identified which geographies and outlets were most hostile to the industry’s moderation messaging.
The team produced a rapid-response analytical report within days, providing member companies with an evidence-based assessment of the narrative landscape, the key voices amplifying it, and the likely regulatory implications.
What previously would have required weeks of manual media trawling and subjective classification became a structured, data-driven intelligence product delivered at the speed the crisis demanded.
The policy landscape is shaped by a complex web of stakeholders, including WHO officials and national health authorities, academic researchers, prominent health advocacy networks, and journalists following WHO reporting guidelines on the consumption limitations.
The alliance needed to track not just what these stakeholders were publishing, but also how their positions were evolving, which networks (including 2nd- and 3rd-degree connections) they were activating, and when sentiment against the industry spiked.
With over eighty stakeholder social media handles monitored and thousands of media mentions per month, the volume of information far exceeded what manual tracking could process. The previous methodology relied on a single consultant’s subjective classification framework - effective for its time, but neither scalable nor auditable.
Genie’s stakeholder monitoring layer connects real-time media and social signals directly to individual stakeholder profiles, providing the team with continuous visibility into who was saying what and how their messaging was landing.
Sentiment spike detection surfaced moments when negative attention against the industry intensified - such as coordinated anti-campaigns or the emergence of new regulatory proposals. This gives the team early warning to brief leadership and prepare responses.
The platform’s searchable stakeholder profiles meant that when a VP from the beverage company asked how a specific CIA health ranking was being reported in the context of the health debate, or how many media articles followed WHO journalist guidelines on reporting, the team could answer with data rather than intuition. This represented a fundamental shift from a person-dependent classification exercise to an institutionalised intelligence capability.
Major international policy events represent critical moments for the industry. It’s where regulatory proposals are debated, advocacy coalitions are formed, and media narratives are amplified. The alliance also needed to track emerging campaigns and new regulatory approaches being piloted in individual markets.
Preparation for these events had relied on ad-hoc research rather than systematic intelligence, leaving the team reactive to developments rather than positioned to anticipate them.
Genie’s monitoring framework was extended to cover key policy events and regulatory developments across the alliance’s priority geographies.
Issue-tagged media and stakeholder activity feeds provided a continuous pre-event intelligence baseline, so the team could identify which narratives were gaining momentum, which stakeholders were most active in the run-up to each event, and where the industry’s exposure was greatest.
When a new campaign or regulatory initiative emerged - such as the French social norms marketing campaign flagged by the beverage company’s VP - the platform’s real-time ingestion meant it was captured, classified, and available for analysis within the existing workflow, rather than requiring a separate manual research effort.
This gave the alliance the ability to brief member companies on emerging threats before they reached mainstream media saturation.
Through TSC.ai, the alliance transformed its approach to navigating one of the most politically sensitive and operationally complex intelligence challenges in the global beverage sector. What had been a fragmented, consultant-dependent process became a structured, technology-enabled capability - delivering continuous narrative monitoring, stakeholder intelligence, and executive-ready reporting across multiple geographies and policy arenas.
The team moved from reacting to media spikes to anticipating them, from subjective classification to data-driven analysis, and from person-dependent knowledge to institutionalised corporate memory. For an industry facing sustained regulatory and reputational pressure, this shift from reactive monitoring to proactive intelligence represents a fundamental strengthening of the operating model.
The global beverage industry operates under sustained and intensifying public health scrutiny. Regulatory bodies, health advocacy organisations, and international agencies - led by influential global health authorities - have progressively strengthened the narrative that there is no safe level of consumption.
For the world’s largest beverage producers and the industry alliances that represent them, this is an operational reality that affects licensing, labelling, advertising, and market access across dozens of countries simultaneously.
The alliance - a consortium of more than fourteen major international producers - serves as the coordinating body for the industry’s engagement with regulators, health authorities, and media on regulated product policy.
Its mandate required continuous monitoring of the evolving debate over consumption moderation, tracking the stakeholders driving these narratives, and producing regular intelligence reports for member companies and senior leadership. The complexity of this task - spanning multiple geographies, languages, stakeholder categories, and policy arenas - far exceeded what manual processes and fragmented tools could sustain.
TSC.ai was deployed as the centralised stakeholder and issue intelligence platform underpinning the alliance’s monitoring, analysis, and reporting operations. Genie became the structured intelligence layer through which the team tracked media narratives, mapped stakeholder positions, detected sentiment shifts, and delivered executive-ready reporting. This transforms a reactive, person-dependent process into a scalable, institutionalised capability.
TSC.ai deployed its stakeholder and issue intelligence platform, Genie, as the centralised operating system for the alliance’s monitoring and reporting function. The system was configured around two core issues: tracking relevant health and consumption narratives, with real-time media ingestion spanning global news sources, health and policy publications, and social media feeds from over 80 tracked stakeholder handles.
The platform linked media signals directly to the stakeholders driving them, enabling the team to see not just what was being said, but who was saying it.
Sentiment analysis, geographic heatmapping, and narrative tracking provided a layered context that the previous manual approach could not deliver at scale. Ask Genie - the platform’s AI-powered query engine - gave analysts the ability to run investigative queries against the full intelligence base, surfacing connections and patterns that would otherwise require days of manual research.
Weekly and monthly reporting workflows are set up automatically - pre-classified by relevance, sentiment and geography. This reduces the previously required synthesis time and additionally improves the consistency and defensibility of every deliverable sent to member companies and leadership - without needing to triangulate every source.
The alliance needed to track one of the most consequential public health narratives of the decade: the evolving scientific and media debate over consumption safety. This debate intensified significantly when a major national health authority issued a landmark advisory linking alcohol to cancer risk. This development generated more than 1,750 media articles within days, spanning geographies from the United States to Europe, Asia, and Latin America.
The team needed to rapidly assess how the story was being framed. Which outlets were amplifying the critical narrative versus the moderation counterpoint? How was coverage distributed geographically? And which stakeholders were driving the conversation?
Genie’s context-aware media monitoring system automatically classified incoming media against the two monitored debates, enabling the team to filter the 1,750+ articles down to 376 unique pieces directly relevant to the framing.
Geographic heatmapping revealed where the story gained the most traction, with a heavy concentration in the United States, the United Kingdom, and Canada. Meanwhile, sentiment analysis identified which geographies and outlets were most hostile to the industry’s moderation messaging.
The team produced a rapid-response analytical report within days, providing member companies with an evidence-based assessment of the narrative landscape, the key voices amplifying it, and the likely regulatory implications.
What previously would have required weeks of manual media trawling and subjective classification became a structured, data-driven intelligence product delivered at the speed the crisis demanded.
The policy landscape is shaped by a complex web of stakeholders, including WHO officials and national health authorities, academic researchers, prominent health advocacy networks, and journalists following WHO reporting guidelines on the consumption limitations.
The alliance needed to track not just what these stakeholders were publishing, but also how their positions were evolving, which networks (including 2nd- and 3rd-degree connections) they were activating, and when sentiment against the industry spiked.
With over eighty stakeholder social media handles monitored and thousands of media mentions per month, the volume of information far exceeded what manual tracking could process. The previous methodology relied on a single consultant’s subjective classification framework - effective for its time, but neither scalable nor auditable.
Genie’s stakeholder monitoring layer connects real-time media and social signals directly to individual stakeholder profiles, providing the team with continuous visibility into who was saying what and how their messaging was landing.
Sentiment spike detection surfaced moments when negative attention against the industry intensified - such as coordinated anti-campaigns or the emergence of new regulatory proposals. This gives the team early warning to brief leadership and prepare responses.
The platform’s searchable stakeholder profiles meant that when a VP from the beverage company asked how a specific CIA health ranking was being reported in the context of the health debate, or how many media articles followed WHO journalist guidelines on reporting, the team could answer with data rather than intuition. This represented a fundamental shift from a person-dependent classification exercise to an institutionalised intelligence capability.
Major international policy events represent critical moments for the industry. It’s where regulatory proposals are debated, advocacy coalitions are formed, and media narratives are amplified. The alliance also needed to track emerging campaigns and new regulatory approaches being piloted in individual markets.
Preparation for these events had relied on ad-hoc research rather than systematic intelligence, leaving the team reactive to developments rather than positioned to anticipate them.
Genie’s monitoring framework was extended to cover key policy events and regulatory developments across the alliance’s priority geographies.
Issue-tagged media and stakeholder activity feeds provided a continuous pre-event intelligence baseline, so the team could identify which narratives were gaining momentum, which stakeholders were most active in the run-up to each event, and where the industry’s exposure was greatest.
When a new campaign or regulatory initiative emerged - such as the French social norms marketing campaign flagged by the beverage company’s VP - the platform’s real-time ingestion meant it was captured, classified, and available for analysis within the existing workflow, rather than requiring a separate manual research effort.
This gave the alliance the ability to brief member companies on emerging threats before they reached mainstream media saturation.
Through TSC.ai, the alliance transformed its approach to navigating one of the most politically sensitive and operationally complex intelligence challenges in the global beverage sector. What had been a fragmented, consultant-dependent process became a structured, technology-enabled capability - delivering continuous narrative monitoring, stakeholder intelligence, and executive-ready reporting across multiple geographies and policy arenas.
The team moved from reacting to media spikes to anticipating them, from subjective classification to data-driven analysis, and from person-dependent knowledge to institutionalised corporate memory. For an industry facing sustained regulatory and reputational pressure, this shift from reactive monitoring to proactive intelligence represents a fundamental strengthening of the operating model.
The global beverage industry operates under sustained and intensifying public health scrutiny. Regulatory bodies, health advocacy organisations, and international agencies - led by influential global health authorities - have progressively strengthened the narrative that there is no safe level of consumption.
For the world’s largest beverage producers and the industry alliances that represent them, this is an operational reality that affects licensing, labelling, advertising, and market access across dozens of countries simultaneously.
The alliance - a consortium of more than fourteen major international producers - serves as the coordinating body for the industry’s engagement with regulators, health authorities, and media on regulated product policy.
Its mandate required continuous monitoring of the evolving debate over consumption moderation, tracking the stakeholders driving these narratives, and producing regular intelligence reports for member companies and senior leadership. The complexity of this task - spanning multiple geographies, languages, stakeholder categories, and policy arenas - far exceeded what manual processes and fragmented tools could sustain.
TSC.ai was deployed as the centralised stakeholder and issue intelligence platform underpinning the alliance’s monitoring, analysis, and reporting operations. Genie became the structured intelligence layer through which the team tracked media narratives, mapped stakeholder positions, detected sentiment shifts, and delivered executive-ready reporting. This transforms a reactive, person-dependent process into a scalable, institutionalised capability.
TSC.ai deployed its stakeholder and issue intelligence platform, Genie, as the centralised operating system for the alliance’s monitoring and reporting function. The system was configured around two core issues: tracking relevant health and consumption narratives, with real-time media ingestion spanning global news sources, health and policy publications, and social media feeds from over 80 tracked stakeholder handles.
The platform linked media signals directly to the stakeholders driving them, enabling the team to see not just what was being said, but who was saying it.
Sentiment analysis, geographic heatmapping, and narrative tracking provided a layered context that the previous manual approach could not deliver at scale. Ask Genie - the platform’s AI-powered query engine - gave analysts the ability to run investigative queries against the full intelligence base, surfacing connections and patterns that would otherwise require days of manual research.
Weekly and monthly reporting workflows are set up automatically - pre-classified by relevance, sentiment and geography. This reduces the previously required synthesis time and additionally improves the consistency and defensibility of every deliverable sent to member companies and leadership - without needing to triangulate every source.
The alliance needed to track one of the most consequential public health narratives of the decade: the evolving scientific and media debate over consumption safety. This debate intensified significantly when a major national health authority issued a landmark advisory linking alcohol to cancer risk. This development generated more than 1,750 media articles within days, spanning geographies from the United States to Europe, Asia, and Latin America.
The team needed to rapidly assess how the story was being framed. Which outlets were amplifying the critical narrative versus the moderation counterpoint? How was coverage distributed geographically? And which stakeholders were driving the conversation?
Genie’s context-aware media monitoring system automatically classified incoming media against the two monitored debates, enabling the team to filter the 1,750+ articles down to 376 unique pieces directly relevant to the framing.
Geographic heatmapping revealed where the story gained the most traction, with a heavy concentration in the United States, the United Kingdom, and Canada. Meanwhile, sentiment analysis identified which geographies and outlets were most hostile to the industry’s moderation messaging.
The team produced a rapid-response analytical report within days, providing member companies with an evidence-based assessment of the narrative landscape, the key voices amplifying it, and the likely regulatory implications.
What previously would have required weeks of manual media trawling and subjective classification became a structured, data-driven intelligence product delivered at the speed the crisis demanded.
The policy landscape is shaped by a complex web of stakeholders, including WHO officials and national health authorities, academic researchers, prominent health advocacy networks, and journalists following WHO reporting guidelines on the consumption limitations.
The alliance needed to track not just what these stakeholders were publishing, but also how their positions were evolving, which networks (including 2nd- and 3rd-degree connections) they were activating, and when sentiment against the industry spiked.
With over eighty stakeholder social media handles monitored and thousands of media mentions per month, the volume of information far exceeded what manual tracking could process. The previous methodology relied on a single consultant’s subjective classification framework - effective for its time, but neither scalable nor auditable.
Genie’s stakeholder monitoring layer connects real-time media and social signals directly to individual stakeholder profiles, providing the team with continuous visibility into who was saying what and how their messaging was landing.
Sentiment spike detection surfaced moments when negative attention against the industry intensified - such as coordinated anti-campaigns or the emergence of new regulatory proposals. This gives the team early warning to brief leadership and prepare responses.
The platform’s searchable stakeholder profiles meant that when a VP from the beverage company asked how a specific CIA health ranking was being reported in the context of the health debate, or how many media articles followed WHO journalist guidelines on reporting, the team could answer with data rather than intuition. This represented a fundamental shift from a person-dependent classification exercise to an institutionalised intelligence capability.
Major international policy events represent critical moments for the industry. It’s where regulatory proposals are debated, advocacy coalitions are formed, and media narratives are amplified. The alliance also needed to track emerging campaigns and new regulatory approaches being piloted in individual markets.
Preparation for these events had relied on ad-hoc research rather than systematic intelligence, leaving the team reactive to developments rather than positioned to anticipate them.
Genie’s monitoring framework was extended to cover key policy events and regulatory developments across the alliance’s priority geographies.
Issue-tagged media and stakeholder activity feeds provided a continuous pre-event intelligence baseline, so the team could identify which narratives were gaining momentum, which stakeholders were most active in the run-up to each event, and where the industry’s exposure was greatest.
When a new campaign or regulatory initiative emerged - such as the French social norms marketing campaign flagged by the beverage company’s VP - the platform’s real-time ingestion meant it was captured, classified, and available for analysis within the existing workflow, rather than requiring a separate manual research effort.
This gave the alliance the ability to brief member companies on emerging threats before they reached mainstream media saturation.
Through TSC.ai, the alliance transformed its approach to navigating one of the most politically sensitive and operationally complex intelligence challenges in the global beverage sector. What had been a fragmented, consultant-dependent process became a structured, technology-enabled capability - delivering continuous narrative monitoring, stakeholder intelligence, and executive-ready reporting across multiple geographies and policy arenas.
The team moved from reacting to media spikes to anticipating them, from subjective classification to data-driven analysis, and from person-dependent knowledge to institutionalised corporate memory. For an industry facing sustained regulatory and reputational pressure, this shift from reactive monitoring to proactive intelligence represents a fundamental strengthening of the operating model.
The global beverage industry operates under sustained and intensifying public health scrutiny. Regulatory bodies, health advocacy organisations, and international agencies - led by influential global health authorities - have progressively strengthened the narrative that there is no safe level of consumption.
For the world’s largest beverage producers and the industry alliances that represent them, this is an operational reality that affects licensing, labelling, advertising, and market access across dozens of countries simultaneously.
The alliance - a consortium of more than fourteen major international producers - serves as the coordinating body for the industry’s engagement with regulators, health authorities, and media on regulated product policy.
Its mandate required continuous monitoring of the evolving debate over consumption moderation, tracking the stakeholders driving these narratives, and producing regular intelligence reports for member companies and senior leadership. The complexity of this task - spanning multiple geographies, languages, stakeholder categories, and policy arenas - far exceeded what manual processes and fragmented tools could sustain.
TSC.ai was deployed as the centralised stakeholder and issue intelligence platform underpinning the alliance’s monitoring, analysis, and reporting operations. Genie became the structured intelligence layer through which the team tracked media narratives, mapped stakeholder positions, detected sentiment shifts, and delivered executive-ready reporting. This transforms a reactive, person-dependent process into a scalable, institutionalised capability.
TSC.ai deployed its stakeholder and issue intelligence platform, Genie, as the centralised operating system for the alliance’s monitoring and reporting function. The system was configured around two core issues: tracking relevant health and consumption narratives, with real-time media ingestion spanning global news sources, health and policy publications, and social media feeds from over 80 tracked stakeholder handles.
The platform linked media signals directly to the stakeholders driving them, enabling the team to see not just what was being said, but who was saying it.
Sentiment analysis, geographic heatmapping, and narrative tracking provided a layered context that the previous manual approach could not deliver at scale. Ask Genie - the platform’s AI-powered query engine - gave analysts the ability to run investigative queries against the full intelligence base, surfacing connections and patterns that would otherwise require days of manual research.
Weekly and monthly reporting workflows are set up automatically - pre-classified by relevance, sentiment and geography. This reduces the previously required synthesis time and additionally improves the consistency and defensibility of every deliverable sent to member companies and leadership - without needing to triangulate every source.
The alliance needed to track one of the most consequential public health narratives of the decade: the evolving scientific and media debate over consumption safety. This debate intensified significantly when a major national health authority issued a landmark advisory linking alcohol to cancer risk. This development generated more than 1,750 media articles within days, spanning geographies from the United States to Europe, Asia, and Latin America.
The team needed to rapidly assess how the story was being framed. Which outlets were amplifying the critical narrative versus the moderation counterpoint? How was coverage distributed geographically? And which stakeholders were driving the conversation?
Genie’s context-aware media monitoring system automatically classified incoming media against the two monitored debates, enabling the team to filter the 1,750+ articles down to 376 unique pieces directly relevant to the framing.
Geographic heatmapping revealed where the story gained the most traction, with a heavy concentration in the United States, the United Kingdom, and Canada. Meanwhile, sentiment analysis identified which geographies and outlets were most hostile to the industry’s moderation messaging.
The team produced a rapid-response analytical report within days, providing member companies with an evidence-based assessment of the narrative landscape, the key voices amplifying it, and the likely regulatory implications.
What previously would have required weeks of manual media trawling and subjective classification became a structured, data-driven intelligence product delivered at the speed the crisis demanded.
The policy landscape is shaped by a complex web of stakeholders, including WHO officials and national health authorities, academic researchers, prominent health advocacy networks, and journalists following WHO reporting guidelines on the consumption limitations.
The alliance needed to track not just what these stakeholders were publishing, but also how their positions were evolving, which networks (including 2nd- and 3rd-degree connections) they were activating, and when sentiment against the industry spiked.
With over eighty stakeholder social media handles monitored and thousands of media mentions per month, the volume of information far exceeded what manual tracking could process. The previous methodology relied on a single consultant’s subjective classification framework - effective for its time, but neither scalable nor auditable.
Genie’s stakeholder monitoring layer connects real-time media and social signals directly to individual stakeholder profiles, providing the team with continuous visibility into who was saying what and how their messaging was landing.
Sentiment spike detection surfaced moments when negative attention against the industry intensified - such as coordinated anti-campaigns or the emergence of new regulatory proposals. This gives the team early warning to brief leadership and prepare responses.
The platform’s searchable stakeholder profiles meant that when a VP from the beverage company asked how a specific CIA health ranking was being reported in the context of the health debate, or how many media articles followed WHO journalist guidelines on reporting, the team could answer with data rather than intuition. This represented a fundamental shift from a person-dependent classification exercise to an institutionalised intelligence capability.
Major international policy events represent critical moments for the industry. It’s where regulatory proposals are debated, advocacy coalitions are formed, and media narratives are amplified. The alliance also needed to track emerging campaigns and new regulatory approaches being piloted in individual markets.
Preparation for these events had relied on ad-hoc research rather than systematic intelligence, leaving the team reactive to developments rather than positioned to anticipate them.
Genie’s monitoring framework was extended to cover key policy events and regulatory developments across the alliance’s priority geographies.
Issue-tagged media and stakeholder activity feeds provided a continuous pre-event intelligence baseline, so the team could identify which narratives were gaining momentum, which stakeholders were most active in the run-up to each event, and where the industry’s exposure was greatest.
When a new campaign or regulatory initiative emerged - such as the French social norms marketing campaign flagged by the beverage company’s VP - the platform’s real-time ingestion meant it was captured, classified, and available for analysis within the existing workflow, rather than requiring a separate manual research effort.
This gave the alliance the ability to brief member companies on emerging threats before they reached mainstream media saturation.
Through TSC.ai, the alliance transformed its approach to navigating one of the most politically sensitive and operationally complex intelligence challenges in the global beverage sector. What had been a fragmented, consultant-dependent process became a structured, technology-enabled capability - delivering continuous narrative monitoring, stakeholder intelligence, and executive-ready reporting across multiple geographies and policy arenas.
The team moved from reacting to media spikes to anticipating them, from subjective classification to data-driven analysis, and from person-dependent knowledge to institutionalised corporate memory. For an industry facing sustained regulatory and reputational pressure, this shift from reactive monitoring to proactive intelligence represents a fundamental strengthening of the operating model.
The global beverage industry operates under sustained and intensifying public health scrutiny. Regulatory bodies, health advocacy organisations, and international agencies - led by influential global health authorities - have progressively strengthened the narrative that there is no safe level of consumption.
For the world’s largest beverage producers and the industry alliances that represent them, this is an operational reality that affects licensing, labelling, advertising, and market access across dozens of countries simultaneously.
The alliance - a consortium of more than fourteen major international producers - serves as the coordinating body for the industry’s engagement with regulators, health authorities, and media on regulated product policy.
Its mandate required continuous monitoring of the evolving debate over consumption moderation, tracking the stakeholders driving these narratives, and producing regular intelligence reports for member companies and senior leadership. The complexity of this task - spanning multiple geographies, languages, stakeholder categories, and policy arenas - far exceeded what manual processes and fragmented tools could sustain.
TSC.ai was deployed as the centralised stakeholder and issue intelligence platform underpinning the alliance’s monitoring, analysis, and reporting operations. Genie became the structured intelligence layer through which the team tracked media narratives, mapped stakeholder positions, detected sentiment shifts, and delivered executive-ready reporting. This transforms a reactive, person-dependent process into a scalable, institutionalised capability.
TSC.ai deployed its stakeholder and issue intelligence platform, Genie, as the centralised operating system for the alliance’s monitoring and reporting function. The system was configured around two core issues: tracking relevant health and consumption narratives, with real-time media ingestion spanning global news sources, health and policy publications, and social media feeds from over 80 tracked stakeholder handles.
The platform linked media signals directly to the stakeholders driving them, enabling the team to see not just what was being said, but who was saying it.
Sentiment analysis, geographic heatmapping, and narrative tracking provided a layered context that the previous manual approach could not deliver at scale. Ask Genie - the platform’s AI-powered query engine - gave analysts the ability to run investigative queries against the full intelligence base, surfacing connections and patterns that would otherwise require days of manual research.
Weekly and monthly reporting workflows are set up automatically - pre-classified by relevance, sentiment and geography. This reduces the previously required synthesis time and additionally improves the consistency and defensibility of every deliverable sent to member companies and leadership - without needing to triangulate every source.
The alliance needed to track one of the most consequential public health narratives of the decade: the evolving scientific and media debate over consumption safety. This debate intensified significantly when a major national health authority issued a landmark advisory linking alcohol to cancer risk. This development generated more than 1,750 media articles within days, spanning geographies from the United States to Europe, Asia, and Latin America.
The team needed to rapidly assess how the story was being framed. Which outlets were amplifying the critical narrative versus the moderation counterpoint? How was coverage distributed geographically? And which stakeholders were driving the conversation?
Genie’s context-aware media monitoring system automatically classified incoming media against the two monitored debates, enabling the team to filter the 1,750+ articles down to 376 unique pieces directly relevant to the framing.
Geographic heatmapping revealed where the story gained the most traction, with a heavy concentration in the United States, the United Kingdom, and Canada. Meanwhile, sentiment analysis identified which geographies and outlets were most hostile to the industry’s moderation messaging.
The team produced a rapid-response analytical report within days, providing member companies with an evidence-based assessment of the narrative landscape, the key voices amplifying it, and the likely regulatory implications.
What previously would have required weeks of manual media trawling and subjective classification became a structured, data-driven intelligence product delivered at the speed the crisis demanded.
The policy landscape is shaped by a complex web of stakeholders, including WHO officials and national health authorities, academic researchers, prominent health advocacy networks, and journalists following WHO reporting guidelines on the consumption limitations.
The alliance needed to track not just what these stakeholders were publishing, but also how their positions were evolving, which networks (including 2nd- and 3rd-degree connections) they were activating, and when sentiment against the industry spiked.
With over eighty stakeholder social media handles monitored and thousands of media mentions per month, the volume of information far exceeded what manual tracking could process. The previous methodology relied on a single consultant’s subjective classification framework - effective for its time, but neither scalable nor auditable.
Genie’s stakeholder monitoring layer connects real-time media and social signals directly to individual stakeholder profiles, providing the team with continuous visibility into who was saying what and how their messaging was landing.
Sentiment spike detection surfaced moments when negative attention against the industry intensified - such as coordinated anti-campaigns or the emergence of new regulatory proposals. This gives the team early warning to brief leadership and prepare responses.
The platform’s searchable stakeholder profiles meant that when a VP from the beverage company asked how a specific CIA health ranking was being reported in the context of the health debate, or how many media articles followed WHO journalist guidelines on reporting, the team could answer with data rather than intuition. This represented a fundamental shift from a person-dependent classification exercise to an institutionalised intelligence capability.
Major international policy events represent critical moments for the industry. It’s where regulatory proposals are debated, advocacy coalitions are formed, and media narratives are amplified. The alliance also needed to track emerging campaigns and new regulatory approaches being piloted in individual markets.
Preparation for these events had relied on ad-hoc research rather than systematic intelligence, leaving the team reactive to developments rather than positioned to anticipate them.
Genie’s monitoring framework was extended to cover key policy events and regulatory developments across the alliance’s priority geographies.
Issue-tagged media and stakeholder activity feeds provided a continuous pre-event intelligence baseline, so the team could identify which narratives were gaining momentum, which stakeholders were most active in the run-up to each event, and where the industry’s exposure was greatest.
When a new campaign or regulatory initiative emerged - such as the French social norms marketing campaign flagged by the beverage company’s VP - the platform’s real-time ingestion meant it was captured, classified, and available for analysis within the existing workflow, rather than requiring a separate manual research effort.
This gave the alliance the ability to brief member companies on emerging threats before they reached mainstream media saturation.
Through TSC.ai, the alliance transformed its approach to navigating one of the most politically sensitive and operationally complex intelligence challenges in the global beverage sector. What had been a fragmented, consultant-dependent process became a structured, technology-enabled capability - delivering continuous narrative monitoring, stakeholder intelligence, and executive-ready reporting across multiple geographies and policy arenas.
The team moved from reacting to media spikes to anticipating them, from subjective classification to data-driven analysis, and from person-dependent knowledge to institutionalised corporate memory. For an industry facing sustained regulatory and reputational pressure, this shift from reactive monitoring to proactive intelligence represents a fundamental strengthening of the operating model.
The global beverage industry operates under sustained and intensifying public health scrutiny. Regulatory bodies, health advocacy organisations, and international agencies - led by influential global health authorities - have progressively strengthened the narrative that there is no safe level of consumption.
For the world’s largest beverage producers and the industry alliances that represent them, this is an operational reality that affects licensing, labelling, advertising, and market access across dozens of countries simultaneously.
The alliance - a consortium of more than fourteen major international producers - serves as the coordinating body for the industry’s engagement with regulators, health authorities, and media on regulated product policy.
Its mandate required continuous monitoring of the evolving debate over consumption moderation, tracking the stakeholders driving these narratives, and producing regular intelligence reports for member companies and senior leadership. The complexity of this task - spanning multiple geographies, languages, stakeholder categories, and policy arenas - far exceeded what manual processes and fragmented tools could sustain.
TSC.ai was deployed as the centralised stakeholder and issue intelligence platform underpinning the alliance’s monitoring, analysis, and reporting operations. Genie became the structured intelligence layer through which the team tracked media narratives, mapped stakeholder positions, detected sentiment shifts, and delivered executive-ready reporting. This transforms a reactive, person-dependent process into a scalable, institutionalised capability.
TSC.ai deployed its stakeholder and issue intelligence platform, Genie, as the centralised operating system for the alliance’s monitoring and reporting function. The system was configured around two core issues: tracking relevant health and consumption narratives, with real-time media ingestion spanning global news sources, health and policy publications, and social media feeds from over 80 tracked stakeholder handles.
The platform linked media signals directly to the stakeholders driving them, enabling the team to see not just what was being said, but who was saying it.
Sentiment analysis, geographic heatmapping, and narrative tracking provided a layered context that the previous manual approach could not deliver at scale. Ask Genie - the platform’s AI-powered query engine - gave analysts the ability to run investigative queries against the full intelligence base, surfacing connections and patterns that would otherwise require days of manual research.
Weekly and monthly reporting workflows are set up automatically - pre-classified by relevance, sentiment and geography. This reduces the previously required synthesis time and additionally improves the consistency and defensibility of every deliverable sent to member companies and leadership - without needing to triangulate every source.
The alliance needed to track one of the most consequential public health narratives of the decade: the evolving scientific and media debate over consumption safety. This debate intensified significantly when a major national health authority issued a landmark advisory linking alcohol to cancer risk. This development generated more than 1,750 media articles within days, spanning geographies from the United States to Europe, Asia, and Latin America.
The team needed to rapidly assess how the story was being framed. Which outlets were amplifying the critical narrative versus the moderation counterpoint? How was coverage distributed geographically? And which stakeholders were driving the conversation?
Genie’s context-aware media monitoring system automatically classified incoming media against the two monitored debates, enabling the team to filter the 1,750+ articles down to 376 unique pieces directly relevant to the framing.
Geographic heatmapping revealed where the story gained the most traction, with a heavy concentration in the United States, the United Kingdom, and Canada. Meanwhile, sentiment analysis identified which geographies and outlets were most hostile to the industry’s moderation messaging.
The team produced a rapid-response analytical report within days, providing member companies with an evidence-based assessment of the narrative landscape, the key voices amplifying it, and the likely regulatory implications.
What previously would have required weeks of manual media trawling and subjective classification became a structured, data-driven intelligence product delivered at the speed the crisis demanded.
The policy landscape is shaped by a complex web of stakeholders, including WHO officials and national health authorities, academic researchers, prominent health advocacy networks, and journalists following WHO reporting guidelines on the consumption limitations.
The alliance needed to track not just what these stakeholders were publishing, but also how their positions were evolving, which networks (including 2nd- and 3rd-degree connections) they were activating, and when sentiment against the industry spiked.
With over eighty stakeholder social media handles monitored and thousands of media mentions per month, the volume of information far exceeded what manual tracking could process. The previous methodology relied on a single consultant’s subjective classification framework - effective for its time, but neither scalable nor auditable.
Genie’s stakeholder monitoring layer connects real-time media and social signals directly to individual stakeholder profiles, providing the team with continuous visibility into who was saying what and how their messaging was landing.
Sentiment spike detection surfaced moments when negative attention against the industry intensified - such as coordinated anti-campaigns or the emergence of new regulatory proposals. This gives the team early warning to brief leadership and prepare responses.
The platform’s searchable stakeholder profiles meant that when a VP from the beverage company asked how a specific CIA health ranking was being reported in the context of the health debate, or how many media articles followed WHO journalist guidelines on reporting, the team could answer with data rather than intuition. This represented a fundamental shift from a person-dependent classification exercise to an institutionalised intelligence capability.
Major international policy events represent critical moments for the industry. It’s where regulatory proposals are debated, advocacy coalitions are formed, and media narratives are amplified. The alliance also needed to track emerging campaigns and new regulatory approaches being piloted in individual markets.
Preparation for these events had relied on ad-hoc research rather than systematic intelligence, leaving the team reactive to developments rather than positioned to anticipate them.
Genie’s monitoring framework was extended to cover key policy events and regulatory developments across the alliance’s priority geographies.
Issue-tagged media and stakeholder activity feeds provided a continuous pre-event intelligence baseline, so the team could identify which narratives were gaining momentum, which stakeholders were most active in the run-up to each event, and where the industry’s exposure was greatest.
When a new campaign or regulatory initiative emerged - such as the French social norms marketing campaign flagged by the beverage company’s VP - the platform’s real-time ingestion meant it was captured, classified, and available for analysis within the existing workflow, rather than requiring a separate manual research effort.
This gave the alliance the ability to brief member companies on emerging threats before they reached mainstream media saturation.
Through TSC.ai, the alliance transformed its approach to navigating one of the most politically sensitive and operationally complex intelligence challenges in the global beverage sector. What had been a fragmented, consultant-dependent process became a structured, technology-enabled capability - delivering continuous narrative monitoring, stakeholder intelligence, and executive-ready reporting across multiple geographies and policy arenas.
The team moved from reacting to media spikes to anticipating them, from subjective classification to data-driven analysis, and from person-dependent knowledge to institutionalised corporate memory. For an industry facing sustained regulatory and reputational pressure, this shift from reactive monitoring to proactive intelligence represents a fundamental strengthening of the operating model.
The global beverage industry operates under sustained and intensifying public health scrutiny. Regulatory bodies, health advocacy organisations, and international agencies - led by influential global health authorities - have progressively strengthened the narrative that there is no safe level of consumption.
For the world’s largest beverage producers and the industry alliances that represent them, this is an operational reality that affects licensing, labelling, advertising, and market access across dozens of countries simultaneously.
The alliance - a consortium of more than fourteen major international producers - serves as the coordinating body for the industry’s engagement with regulators, health authorities, and media on regulated product policy.
Its mandate required continuous monitoring of the evolving debate over consumption moderation, tracking the stakeholders driving these narratives, and producing regular intelligence reports for member companies and senior leadership. The complexity of this task - spanning multiple geographies, languages, stakeholder categories, and policy arenas - far exceeded what manual processes and fragmented tools could sustain.
TSC.ai was deployed as the centralised stakeholder and issue intelligence platform underpinning the alliance’s monitoring, analysis, and reporting operations. Genie became the structured intelligence layer through which the team tracked media narratives, mapped stakeholder positions, detected sentiment shifts, and delivered executive-ready reporting. This transforms a reactive, person-dependent process into a scalable, institutionalised capability.
TSC.ai deployed its stakeholder and issue intelligence platform, Genie, as the centralised operating system for the alliance’s monitoring and reporting function. The system was configured around two core issues: tracking relevant health and consumption narratives, with real-time media ingestion spanning global news sources, health and policy publications, and social media feeds from over 80 tracked stakeholder handles.
The platform linked media signals directly to the stakeholders driving them, enabling the team to see not just what was being said, but who was saying it.
Sentiment analysis, geographic heatmapping, and narrative tracking provided a layered context that the previous manual approach could not deliver at scale. Ask Genie - the platform’s AI-powered query engine - gave analysts the ability to run investigative queries against the full intelligence base, surfacing connections and patterns that would otherwise require days of manual research.
Weekly and monthly reporting workflows are set up automatically - pre-classified by relevance, sentiment and geography. This reduces the previously required synthesis time and additionally improves the consistency and defensibility of every deliverable sent to member companies and leadership - without needing to triangulate every source.
The alliance needed to track one of the most consequential public health narratives of the decade: the evolving scientific and media debate over consumption safety. This debate intensified significantly when a major national health authority issued a landmark advisory linking alcohol to cancer risk. This development generated more than 1,750 media articles within days, spanning geographies from the United States to Europe, Asia, and Latin America.
The team needed to rapidly assess how the story was being framed. Which outlets were amplifying the critical narrative versus the moderation counterpoint? How was coverage distributed geographically? And which stakeholders were driving the conversation?
Genie’s context-aware media monitoring system automatically classified incoming media against the two monitored debates, enabling the team to filter the 1,750+ articles down to 376 unique pieces directly relevant to the framing.
Geographic heatmapping revealed where the story gained the most traction, with a heavy concentration in the United States, the United Kingdom, and Canada. Meanwhile, sentiment analysis identified which geographies and outlets were most hostile to the industry’s moderation messaging.
The team produced a rapid-response analytical report within days, providing member companies with an evidence-based assessment of the narrative landscape, the key voices amplifying it, and the likely regulatory implications.
What previously would have required weeks of manual media trawling and subjective classification became a structured, data-driven intelligence product delivered at the speed the crisis demanded.
The policy landscape is shaped by a complex web of stakeholders, including WHO officials and national health authorities, academic researchers, prominent health advocacy networks, and journalists following WHO reporting guidelines on the consumption limitations.
The alliance needed to track not just what these stakeholders were publishing, but also how their positions were evolving, which networks (including 2nd- and 3rd-degree connections) they were activating, and when sentiment against the industry spiked.
With over eighty stakeholder social media handles monitored and thousands of media mentions per month, the volume of information far exceeded what manual tracking could process. The previous methodology relied on a single consultant’s subjective classification framework - effective for its time, but neither scalable nor auditable.
Genie’s stakeholder monitoring layer connects real-time media and social signals directly to individual stakeholder profiles, providing the team with continuous visibility into who was saying what and how their messaging was landing.
Sentiment spike detection surfaced moments when negative attention against the industry intensified - such as coordinated anti-campaigns or the emergence of new regulatory proposals. This gives the team early warning to brief leadership and prepare responses.
The platform’s searchable stakeholder profiles meant that when a VP from the beverage company asked how a specific CIA health ranking was being reported in the context of the health debate, or how many media articles followed WHO journalist guidelines on reporting, the team could answer with data rather than intuition. This represented a fundamental shift from a person-dependent classification exercise to an institutionalised intelligence capability.
Major international policy events represent critical moments for the industry. It’s where regulatory proposals are debated, advocacy coalitions are formed, and media narratives are amplified. The alliance also needed to track emerging campaigns and new regulatory approaches being piloted in individual markets.
Preparation for these events had relied on ad-hoc research rather than systematic intelligence, leaving the team reactive to developments rather than positioned to anticipate them.
Genie’s monitoring framework was extended to cover key policy events and regulatory developments across the alliance’s priority geographies.
Issue-tagged media and stakeholder activity feeds provided a continuous pre-event intelligence baseline, so the team could identify which narratives were gaining momentum, which stakeholders were most active in the run-up to each event, and where the industry’s exposure was greatest.
When a new campaign or regulatory initiative emerged - such as the French social norms marketing campaign flagged by the beverage company’s VP - the platform’s real-time ingestion meant it was captured, classified, and available for analysis within the existing workflow, rather than requiring a separate manual research effort.
This gave the alliance the ability to brief member companies on emerging threats before they reached mainstream media saturation.
Through TSC.ai, the alliance transformed its approach to navigating one of the most politically sensitive and operationally complex intelligence challenges in the global beverage sector. What had been a fragmented, consultant-dependent process became a structured, technology-enabled capability - delivering continuous narrative monitoring, stakeholder intelligence, and executive-ready reporting across multiple geographies and policy arenas.
The team moved from reacting to media spikes to anticipating them, from subjective classification to data-driven analysis, and from person-dependent knowledge to institutionalised corporate memory. For an industry facing sustained regulatory and reputational pressure, this shift from reactive monitoring to proactive intelligence represents a fundamental strengthening of the operating model.
The global beverage industry operates under sustained and intensifying public health scrutiny. Regulatory bodies, health advocacy organisations, and international agencies - led by influential global health authorities - have progressively strengthened the narrative that there is no safe level of consumption.
For the world’s largest beverage producers and the industry alliances that represent them, this is an operational reality that affects licensing, labelling, advertising, and market access across dozens of countries simultaneously.
The alliance - a consortium of more than fourteen major international producers - serves as the coordinating body for the industry’s engagement with regulators, health authorities, and media on regulated product policy.
Its mandate required continuous monitoring of the evolving debate over consumption moderation, tracking the stakeholders driving these narratives, and producing regular intelligence reports for member companies and senior leadership. The complexity of this task - spanning multiple geographies, languages, stakeholder categories, and policy arenas - far exceeded what manual processes and fragmented tools could sustain.
TSC.ai was deployed as the centralised stakeholder and issue intelligence platform underpinning the alliance’s monitoring, analysis, and reporting operations. Genie became the structured intelligence layer through which the team tracked media narratives, mapped stakeholder positions, detected sentiment shifts, and delivered executive-ready reporting. This transforms a reactive, person-dependent process into a scalable, institutionalised capability.
TSC.ai deployed its stakeholder and issue intelligence platform, Genie, as the centralised operating system for the alliance’s monitoring and reporting function. The system was configured around two core issues: tracking relevant health and consumption narratives, with real-time media ingestion spanning global news sources, health and policy publications, and social media feeds from over 80 tracked stakeholder handles.
The platform linked media signals directly to the stakeholders driving them, enabling the team to see not just what was being said, but who was saying it.
Sentiment analysis, geographic heatmapping, and narrative tracking provided a layered context that the previous manual approach could not deliver at scale. Ask Genie - the platform’s AI-powered query engine - gave analysts the ability to run investigative queries against the full intelligence base, surfacing connections and patterns that would otherwise require days of manual research.
Weekly and monthly reporting workflows are set up automatically - pre-classified by relevance, sentiment and geography. This reduces the previously required synthesis time and additionally improves the consistency and defensibility of every deliverable sent to member companies and leadership - without needing to triangulate every source.
The alliance needed to track one of the most consequential public health narratives of the decade: the evolving scientific and media debate over consumption safety. This debate intensified significantly when a major national health authority issued a landmark advisory linking alcohol to cancer risk. This development generated more than 1,750 media articles within days, spanning geographies from the United States to Europe, Asia, and Latin America.
The team needed to rapidly assess how the story was being framed. Which outlets were amplifying the critical narrative versus the moderation counterpoint? How was coverage distributed geographically? And which stakeholders were driving the conversation?
Genie’s context-aware media monitoring system automatically classified incoming media against the two monitored debates, enabling the team to filter the 1,750+ articles down to 376 unique pieces directly relevant to the framing.
Geographic heatmapping revealed where the story gained the most traction, with a heavy concentration in the United States, the United Kingdom, and Canada. Meanwhile, sentiment analysis identified which geographies and outlets were most hostile to the industry’s moderation messaging.
The team produced a rapid-response analytical report within days, providing member companies with an evidence-based assessment of the narrative landscape, the key voices amplifying it, and the likely regulatory implications.
What previously would have required weeks of manual media trawling and subjective classification became a structured, data-driven intelligence product delivered at the speed the crisis demanded.
The policy landscape is shaped by a complex web of stakeholders, including WHO officials and national health authorities, academic researchers, prominent health advocacy networks, and journalists following WHO reporting guidelines on the consumption limitations.
The alliance needed to track not just what these stakeholders were publishing, but also how their positions were evolving, which networks (including 2nd- and 3rd-degree connections) they were activating, and when sentiment against the industry spiked.
With over eighty stakeholder social media handles monitored and thousands of media mentions per month, the volume of information far exceeded what manual tracking could process. The previous methodology relied on a single consultant’s subjective classification framework - effective for its time, but neither scalable nor auditable.
Genie’s stakeholder monitoring layer connects real-time media and social signals directly to individual stakeholder profiles, providing the team with continuous visibility into who was saying what and how their messaging was landing.
Sentiment spike detection surfaced moments when negative attention against the industry intensified - such as coordinated anti-campaigns or the emergence of new regulatory proposals. This gives the team early warning to brief leadership and prepare responses.
The platform’s searchable stakeholder profiles meant that when a VP from the beverage company asked how a specific CIA health ranking was being reported in the context of the health debate, or how many media articles followed WHO journalist guidelines on reporting, the team could answer with data rather than intuition. This represented a fundamental shift from a person-dependent classification exercise to an institutionalised intelligence capability.
Major international policy events represent critical moments for the industry. It’s where regulatory proposals are debated, advocacy coalitions are formed, and media narratives are amplified. The alliance also needed to track emerging campaigns and new regulatory approaches being piloted in individual markets.
Preparation for these events had relied on ad-hoc research rather than systematic intelligence, leaving the team reactive to developments rather than positioned to anticipate them.
Genie’s monitoring framework was extended to cover key policy events and regulatory developments across the alliance’s priority geographies.
Issue-tagged media and stakeholder activity feeds provided a continuous pre-event intelligence baseline, so the team could identify which narratives were gaining momentum, which stakeholders were most active in the run-up to each event, and where the industry’s exposure was greatest.
When a new campaign or regulatory initiative emerged - such as the French social norms marketing campaign flagged by the beverage company’s VP - the platform’s real-time ingestion meant it was captured, classified, and available for analysis within the existing workflow, rather than requiring a separate manual research effort.
This gave the alliance the ability to brief member companies on emerging threats before they reached mainstream media saturation.
Through TSC.ai, the alliance transformed its approach to navigating one of the most politically sensitive and operationally complex intelligence challenges in the global beverage sector. What had been a fragmented, consultant-dependent process became a structured, technology-enabled capability - delivering continuous narrative monitoring, stakeholder intelligence, and executive-ready reporting across multiple geographies and policy arenas.
The team moved from reacting to media spikes to anticipating them, from subjective classification to data-driven analysis, and from person-dependent knowledge to institutionalised corporate memory. For an industry facing sustained regulatory and reputational pressure, this shift from reactive monitoring to proactive intelligence represents a fundamental strengthening of the operating model.
The global beverage industry operates under sustained and intensifying public health scrutiny. Regulatory bodies, health advocacy organisations, and international agencies - led by influential global health authorities - have progressively strengthened the narrative that there is no safe level of consumption.
For the world’s largest beverage producers and the industry alliances that represent them, this is an operational reality that affects licensing, labelling, advertising, and market access across dozens of countries simultaneously.
The alliance - a consortium of more than fourteen major international producers - serves as the coordinating body for the industry’s engagement with regulators, health authorities, and media on regulated product policy.
Its mandate required continuous monitoring of the evolving debate over consumption moderation, tracking the stakeholders driving these narratives, and producing regular intelligence reports for member companies and senior leadership. The complexity of this task - spanning multiple geographies, languages, stakeholder categories, and policy arenas - far exceeded what manual processes and fragmented tools could sustain.
TSC.ai was deployed as the centralised stakeholder and issue intelligence platform underpinning the alliance’s monitoring, analysis, and reporting operations. Genie became the structured intelligence layer through which the team tracked media narratives, mapped stakeholder positions, detected sentiment shifts, and delivered executive-ready reporting. This transforms a reactive, person-dependent process into a scalable, institutionalised capability.
TSC.ai deployed its stakeholder and issue intelligence platform, Genie, as the centralised operating system for the alliance’s monitoring and reporting function. The system was configured around two core issues: tracking relevant health and consumption narratives, with real-time media ingestion spanning global news sources, health and policy publications, and social media feeds from over 80 tracked stakeholder handles.
The platform linked media signals directly to the stakeholders driving them, enabling the team to see not just what was being said, but who was saying it.
Sentiment analysis, geographic heatmapping, and narrative tracking provided a layered context that the previous manual approach could not deliver at scale. Ask Genie - the platform’s AI-powered query engine - gave analysts the ability to run investigative queries against the full intelligence base, surfacing connections and patterns that would otherwise require days of manual research.
Weekly and monthly reporting workflows are set up automatically - pre-classified by relevance, sentiment and geography. This reduces the previously required synthesis time and additionally improves the consistency and defensibility of every deliverable sent to member companies and leadership - without needing to triangulate every source.
The alliance needed to track one of the most consequential public health narratives of the decade: the evolving scientific and media debate over consumption safety. This debate intensified significantly when a major national health authority issued a landmark advisory linking alcohol to cancer risk. This development generated more than 1,750 media articles within days, spanning geographies from the United States to Europe, Asia, and Latin America.
The team needed to rapidly assess how the story was being framed. Which outlets were amplifying the critical narrative versus the moderation counterpoint? How was coverage distributed geographically? And which stakeholders were driving the conversation?
Genie’s context-aware media monitoring system automatically classified incoming media against the two monitored debates, enabling the team to filter the 1,750+ articles down to 376 unique pieces directly relevant to the framing.
Geographic heatmapping revealed where the story gained the most traction, with a heavy concentration in the United States, the United Kingdom, and Canada. Meanwhile, sentiment analysis identified which geographies and outlets were most hostile to the industry’s moderation messaging.
The team produced a rapid-response analytical report within days, providing member companies with an evidence-based assessment of the narrative landscape, the key voices amplifying it, and the likely regulatory implications.
What previously would have required weeks of manual media trawling and subjective classification became a structured, data-driven intelligence product delivered at the speed the crisis demanded.
The policy landscape is shaped by a complex web of stakeholders, including WHO officials and national health authorities, academic researchers, prominent health advocacy networks, and journalists following WHO reporting guidelines on the consumption limitations.
The alliance needed to track not just what these stakeholders were publishing, but also how their positions were evolving, which networks (including 2nd- and 3rd-degree connections) they were activating, and when sentiment against the industry spiked.
With over eighty stakeholder social media handles monitored and thousands of media mentions per month, the volume of information far exceeded what manual tracking could process. The previous methodology relied on a single consultant’s subjective classification framework - effective for its time, but neither scalable nor auditable.
Genie’s stakeholder monitoring layer connects real-time media and social signals directly to individual stakeholder profiles, providing the team with continuous visibility into who was saying what and how their messaging was landing.
Sentiment spike detection surfaced moments when negative attention against the industry intensified - such as coordinated anti-campaigns or the emergence of new regulatory proposals. This gives the team early warning to brief leadership and prepare responses.
The platform’s searchable stakeholder profiles meant that when a VP from the beverage company asked how a specific CIA health ranking was being reported in the context of the health debate, or how many media articles followed WHO journalist guidelines on reporting, the team could answer with data rather than intuition. This represented a fundamental shift from a person-dependent classification exercise to an institutionalised intelligence capability.
Major international policy events represent critical moments for the industry. It’s where regulatory proposals are debated, advocacy coalitions are formed, and media narratives are amplified. The alliance also needed to track emerging campaigns and new regulatory approaches being piloted in individual markets.
Preparation for these events had relied on ad-hoc research rather than systematic intelligence, leaving the team reactive to developments rather than positioned to anticipate them.
Genie’s monitoring framework was extended to cover key policy events and regulatory developments across the alliance’s priority geographies.
Issue-tagged media and stakeholder activity feeds provided a continuous pre-event intelligence baseline, so the team could identify which narratives were gaining momentum, which stakeholders were most active in the run-up to each event, and where the industry’s exposure was greatest.
When a new campaign or regulatory initiative emerged - such as the French social norms marketing campaign flagged by the beverage company’s VP - the platform’s real-time ingestion meant it was captured, classified, and available for analysis within the existing workflow, rather than requiring a separate manual research effort.
This gave the alliance the ability to brief member companies on emerging threats before they reached mainstream media saturation.
Through TSC.ai, the alliance transformed its approach to navigating one of the most politically sensitive and operationally complex intelligence challenges in the global beverage sector. What had been a fragmented, consultant-dependent process became a structured, technology-enabled capability - delivering continuous narrative monitoring, stakeholder intelligence, and executive-ready reporting across multiple geographies and policy arenas.
The team moved from reacting to media spikes to anticipating them, from subjective classification to data-driven analysis, and from person-dependent knowledge to institutionalised corporate memory. For an industry facing sustained regulatory and reputational pressure, this shift from reactive monitoring to proactive intelligence represents a fundamental strengthening of the operating model.
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