Three steps for the data scientist.
One system of record.
HumanLens replaces the spreadsheet handoff between AI teams and compliance with a real workflow. The data scientist runs three commands. The compliance team gets a standardized review queue. The board gets a complete record on demand.
Three commands. That's the workflow.
Six questions. Model name, type, use case, data source, owner, risk tier. The system card starts here.
Standardized accuracy, bias, and explainability tests run automatically. Results write back to the system card.
Pushes the complete card to the review queue. Returns a ticket and a status URL. The data scientist is done.
✓ Model registered
System card: SC-2026-0184
$ humanlens test prior_auth_v3
Running accuracy tests...........ok
Running bias tests...............ok
Running explainability tests.....ok
✓ All tests written to SC-2026-0184
$ humanlens submit prior_auth_v3
✓ Submitted to review queue
Status: https://app.humanlens.ai/sc/0184
# done. compliance team notified.
| Model | Owner | Risk | Status |
|---|---|---|---|
| prior_auth_v3 | D. Patel | High | In review |
| claims_router_v2 | M. Chen | Medium | Approved |
| ocr_extraction | S. Brown | Low | Approved |
| readmit_predict | J. Park | High | Action needed |
| fraud_score_v1 | L. Adebayo | High | In review |
One system of record. Every model. Every review.
Every model that runs through the HumanLens test library lands in the governance tool. Compliance sees the queue. Risk sees the inventory. The board sees the curated view. Auditors see the trail.
Reviews are routed by role. NIST-aligned questions are answered once at the org level and inherited everywhere. The chase between teams becomes a queue with named owners and clear deadlines.
Built for the three people who own AI risk.
Most governance tools are built for one user. HumanLens routes the work to the right person at the right time.
Run register, test, submit from your terminal. The system card generates itself. You go back to building.
Reviews land in your inbox in a standardized format. NIST mapping is automatic. The right people are tagged. Sign off and move on.
The full record exists before anyone asks. Pre-deployment evidence, named owners, complete history. Generated as you go, not reconstructed after the fact.
Walk through HumanLens with us.
Twenty minutes. We show you how the three-command flow and the system of record work for your specific use case.