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FULL FRAMEWORK ASSESSMENT
Know exactly where your AI governance gaps are — before a regulator finds them.
A structured audit scoring every AI system in your business across our ten governance domains, benchmarked against NIST AI RMF, the EU AI Act's risk tiers, and India's DPDP Act, with a prioritized remediation plan at the end.
HOW THE AUDIT RUNS
Four weeks, from inventory to remediation plan.
01
System inventory
We catalogue every AI and automation system in active use, including shadow-IT tools your team adopted without a formal review.
02
Domain scoring
Each system is scored across the ten governance domains, using the 30-indicator model behind our framework.
03
Gap analysis
Findings are consolidated into a single index score per system, with the specific gap behind every point lost.
04
Remediation plan
A prioritized action list, ordered by regulatory exposure and effort to close, handed to your team with clear ownership.
BUILT FOR REGULATED SECTORS
Particular depth for BFSI.
Lending, underwriting, and fraud-detection models carry disproportionate regulatory and reputational risk. Our audit gives these use cases extra scrutiny on bias and fairness testing, explainability, and human-oversight checkpoints — the areas where AI lending bias incidents and similar failures have most often originated.
The output is written for two audiences at once: technical enough for your risk and IT teams to act on, and plain enough for a board or audit committee to read without a translator.