Approved to Ship: What RBI's Data Governance Draft Asks of Your AI Stack

Most banks and NBFCs have a promising AI pilot waiting on data access approval.

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Protecting customer data used to mean controlling where it lived, but an agent now decides in real time which records to pull and what to put in front of a model. RBI's draft data governance guidance is written for that reality, and asks institutions to prove four things at the moment data is used.

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In 30 minutes, Deepak Annamalai covers what the draft requires, where current architectures come up short, and the architecture that satisfies the regulator and unblocks the roadmap together.

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What you will learn:

• The four things RBI's draft asks you to prove, and which AI projects each one blocks
• Why masking, tagging, and catalogues were never built for a real-time requirement
• One pipeline, diagrammed two ways: the version that falls short of the draft, and the version that satisfies it