For a leading investment firm, producing a commercial due diligence report was a manual, research-heavy process. Analysts gathered information from the open web and internal documents and compiled findings across many dimensions, which slowed the path from identifying a target to having a solid decision basis.

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We are building an agentic AI system that generates these reports automatically. Agents collect and analyse public and internal information, mapping each target across customer sentiment, competitive landscape, value chain position and AI exposure. Because the reports feed investment decisions, the system checks its own outputs and flags anything it cannot confirm.

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Value for the client:

• Complete, consistently structured reports as a basis for new deals
• Analyst time shifted from gathering information to assessment and judgement
• Verified, source-grounded outputs rather than unchecked AI text
• A reusable platform for the firm's next agentic use cases