Every instrument that governs AI in Indian finance is encoded in Sakshi as data, scored against your live decision record, and exported as a signed pack. Not a questionnaire you fill in later: evidence that accumulates as your agents run.
What Sakshi maps
Each is kept current as a clause map, so when the directions land, you are already scored against them, not starting a project.
Model Risk Management directions plus the FREE-AI framework for responsible AI in banks and NBFCs. Rotavision filed a formal comment on the draft.
The Digital Personal Data Protection Act, 2023 and its Rules: India's baseline for processing personal data, including by automated systems.
Market intermediaries bear full responsibility for the AI/ML tools they deploy, for data privacy, output integrity and investor protection.
AI governance expectations for insurers are anticipated. The same spine is ready to map them the day they are published, no re-instrumentation.
How it works
No spreadsheet of controls maintained by hand. The clause map is versioned code; the score is computed off what your agents actually did.
See exactly which clauses your live evidence already covers and which it doesn't, per instrument, down to the requirement. Gaps are ranked by how many clauses each fix unblocks, so a compliance team of one knows what to do on Monday.
Generate a complete, exportable pack for any instrument on demand. Each pack is assembled from the live record, anchored to the tamper-evident chain, and signed, so an auditor can confirm nothing was added after the fact.
Data Protection Impact Assessments and the artifacts an independent auditor needs are generated from the same evidence, not written from scratch each cycle. PII is tokenized at ingest, so the record proves governance without ever holding a raw identifier.
The stance
It would be easy to paint a dashboard green. Sakshi refuses to. A clause reads READY only when a real check passes against your actual decision record, never because a box was ticked. A green you can't defend in front of a regulator is worse than an honest gap.
That discipline is the product. It's also why the readiness score is worth trusting.
Get your readiness score against RBI MRM, DPDP and SEBI on synthetic data in minutes, or explore a signed pack in the live console.
