Twice-yearly reporting depended on inconsistent returns.
The Sustainable Development team at a global mining and commodities company coordinated ESG intelligence and stakeholder engagement across regional and site teams. Twice a year it assembled stakeholder reports from inconsistent regional returns. The same evidence also had to support statutory reporting duties, CSRD and GRI Mining requirements.
Issue monitoring, engagement history and stakeholder positions also sat in different places. Consultant interviews provided useful snapshots, but they did not create a continuous record that the internal team could reuse.
A materiality model connected signals, engagements and reporting.
TSC configured Genie around material topics including water, human rights, community relations and responsible sourcing. Relevant media and stakeholder signals were classified against that structure. Engagements were recorded with linked stakeholder profiles, issue tags and outcome notes.
Genie handled the connected record and routine analysis of source material. The client team used it in its daily work. TSC analysts added network research and interpretation where the mandate required deeper investigation.
The team could follow material topics, assets and stakeholders in one environment. Reporting workflows drew from the same records used for monitoring and engagement planning. This replaced a twice-yearly compilation exercise with a continuous evidence base, while formal reporting cycles remained in place.
Network maps added external context.
TSC mapped NGO, civil-society and campaign networks around responsible sourcing and other priority issues. The maps linked organisations and funders to issue activity and coverage, giving the team context beyond an isolated media mention.
Group sustainability became the company's information powerhouse.
Most group sustainability teams see their operations through regional returns and an annual materiality assessment. Local concerns reach the centre late, already summarised. This team now follows developments across its footprint as they happen, in local languages, classified against its own material topics. Agentic workflows turn that evidence into the reports and briefs other teams across the group rely on.
Signals are graded before anyone reads them. Each carries a materiality tier and a stakeholder priority, judged against the asset it concerns. The same organisation can rank high for one operation and low for another. That is how tens of thousands of signals become the short list the team acts on.
The retained asset connects material topics, source evidence, stakeholder profiles, engagement history and network analysis. Each report, issue review or disclosure cycle draws on it rather than rebuilding the evidence from separate files.
