Independent assurance for the AI you're trusting with regulated decisions.
Your board asks whether the AI is safe. Your regulator will ask for evidence. We're the independent reviewer that turns 'we think so' into a documented, defensible answer: the gaps, a remediation plan, and the evidence pack behind it.
Who this is for: Banks, NBFCs, insurers, fintechs and BFSI GCCs in India deploying customer-facing or decision-facing AI. Usually the Head of Data/AI, CRO, model-risk or compliance owner.
What you get
AI/LLM system governance audit
Independent review of a model or agent against RBI's responsible-AI direction, SEBI AI/ML expectations, and DPDP data-flow obligations. You get the gaps, a remediation plan, and an evidence pack.
Hallucination-risk audit
Quantify and reduce hallucination and failure risk in a customer- or decision-facing LLM system, with measured before/after evidence.
AI-readable document standards
Design the internal standards that make your documents machine-legible and safe for LLM pipelines, so the next system inherits clean inputs.
Independent agent assurance
Third-party attestation on a customer-facing AI agent before or while it is in production.
Board / risk-committee briefing pack
The evidence artifact senior stakeholders need to sign off on an AI system.
Pricing
| Scoped single-system audit | fixed-fee, by proposal | the usual starting engagement |
| Annual assurance retainer | scoped by cadence + systems | quarterly re-assurance + on-call |
Value-based and proposal-driven. We scope to the system under review rather than a headcount.
How it works
- Scoping call. which system, which decisions it touches, which expectations apply.
- Independent review. founder-led, documented methodology; your team stays in the loop.
- Evidence pack + briefing. findings, remediation plan, and the pack your board or regulator can actually read.
Not in BFSI, or earlier in the journey? Start with the paid diagnostic or the free tools.