Aimie
Why Cogny Matters
Every organization depends on documents. Contracts, RFPs, compliance reports, HR files - they’re full of critical information. But extracting and using that information is often slow, manual, and error-prone.
Cogny changes that by treating documents not as static files, but as structured, queryable data. With Cogny, teams can automate extraction, trace every number back to its source, and generate full reports directly inside Excel.
Getting Started Is Simple
For small teams and large enterprises alike, the process follows three steps:
- Upload your documents
- Select a template
- Get your first draft in seconds
From there, Cogny's AI agents act like an in-house expert: critiquing the draft, highlighting missing information, and automatically re-running analysis to fill the gaps - always with a complete audit trail.
Real-World Examples
Cogny is already trusted by major organizations:
- Worldline uses it to streamline CSRD sustainability reporting
- EDF applies it to RFP analysis and HR document reviews
- Flichy Grangé Avocats relied on it to analyze thousands of documents just days before a hearing, ultimately achieving the cancellation of half of a multi-million euro social security reassessment
The law firm explained:
“When several thousand pieces were handed to us just days before a hearing, Cogny allowed us to exploit them and respond effectively - securing the cancellation of half of a multi-million euro reassessment.”
Why It Works for Small Businesses
Small businesses often assume AI tools are too complex or resource-heavy. Cogny is different:
- No specialist needed - any data professional can use it
- Built-in critique - the platform reviews drafts like an expert
- Traceability by default - every figure links back to its source
The result: small teams can deliver high-quality, auditable results without hiring auditors or consultants.
Trust, Not Just Speed
Cogny's value lies not only in speed, but in reliability:
- Closed-loop data - only uses your documents, never the open web
- Zero hallucinations - insights are strictly grounded in source data
- Traceability - every number is clickable back to its origin
- Agentic critique - results are refined and cross-checked
- Security by design - sensitive documents stay protected
The Golden Rule for AI Adoption
Stéphane Beaumont, Member of the Board of Directors at Cogny, and Gabriel Rauscher, Chief Operating Officer, emphasize:
“Start simple, but always demand traceability.”
Pick one high-impact workflow, use AI in a way your team can adopt easily, and make sure every result is transparent. If you can’t prove where a number came from, you can’t trust it - and trust is the foundation of sustainable AI adoption.