Due diligence is, in essence, a problem of volume against time: dozens of folders of corporate, tax, employment and financial documents that need to be read, classified and cross-checked within a deadline that is never quite enough. The team runs puts its reputation on the line to not miss anything — and yet most of the hours go on finding and organising information, not on analysing it.
What changes with a team of agents
Our due diligence platform doesn't run on a single AI model: it runs a team of specialised agents, each in its own discipline, coordinated over the same data room:
- A document classification agent orders the data room: it identifies what each document is (deed, contract, tax return, payslip...) and flags what's missing against the operation's minimum checklist.
- A data extraction agent converts documents into structured data: dates, amounts, clauses, parties, deadlines.
- A discrepancies and contingencies agent cross-references that data against itself and against regulatory sources: inconsistencies between accounts and tax returns, change-of-control clauses, expired contracts, open litigation.
- A reporting agent compiles the risk map with its traffic-light system and exact references to the document and page where each finding sits.
The expert never loses control at any point: every conclusion arrives with its evidence linked, and nothing enters the final report without their validation.
Human validation is not optional
In legal and financial work, the requirement set out by the European AI Act is clear: significant decisions require effective human oversight. Our platform is designed around that premise — the agent proposes, flags and documents; the professional decides. This is not a limitation: it's what makes the outcome defensible before the client and, if needed, before a third party.
What the firm gains
The arithmetic is simple. If 70% of the hours on a due diligence go on locating, classifying and extracting, and that part becomes a review rather than manual work, the same team can take on more deals — or handle the same ones with deeper analysis, which is what the client is really paying for.
And there's a less obvious benefit: traceability. Every figure in the report is linked back to its source document. When someone asks six months later "where did this figure come from?", the answer is a click away.
How we're doing it
The platform works on a structured data room, with prior anonymisation of personal data before any document reaches an AI model — GDPR compliance by design. We're running demonstrations with real cases for firms and consultancies in the sector: if you work on M&A deals or recurring due diligences, tell us how your workflow looks and we'll show it working on a real case.