Evidence Management
Upload an artifact once. The AI reads it, then tells you every framework requirement it already satisfies.
From scattered to connected.
The same proof, collected again and again
- One artifact re-uploaded per framework
- No idea what a file already satisfies
- Audit packages hand-built from scratch each time
Upload once, satisfy everywhere
- OCR reads the file and tags it on intake
- One artifact answers many frameworks at once
- Packages assemble from links already made
Built for the way regulated teams actually work.
OCR intake
Any file type comes in, gets read, and carries owner, validity and quality state.
Cross-framework reuse
One log-retention artifact answers SWIFT 4.1, NIST AU-6 and PCI 10.2.1 at once.
AI clause mapping
The AI proposes the controls a piece of evidence proves. You confirm, it never links silently.
Audit packages
Packages assemble from links that already exist the day evidence was uploaded.
How it flows
- 1UploadAny file type
- 2OCRText extracted
- 3AI assessClauses matched
- 4ReviewYou confirm
- 5LinkedReused everywhere
A record here never sits alone. The moment it exists, it connects to:
Cross-framework equivalence: one log-retention artifact answers SWIFT 4.1, NIST AU-6 and PCI 10.2.1 at once. You review the suggestion; the AI never links silently.
See evidence management on your own stack.
Demos are scoped to your regulators. Pick a slot and we'll run it live.