
Date: Thursday, 27 Nov 2026
Time: 01:30 PM to 07:00 PM IST
Cocktails & Dinner: 07:00 PM to 10:00 PM IST
Venue: TBD
Join industry leaders, top AI executives, and AI governance and model risk professionals for an exclusive event examining how the new MAS AI Risk Management Guidelines are shaping AI governance and Model Risk Management across financial institutions in Mumbai.

All times are in IST (Indian Standard Time)

Guest registration and networking over welcome refreshments

- Welcome participants and introduce the objectives of the conclave
- Opening the day’s discussions on AI governance and MRM in Mumbai


Topic: One Ecosystem, Three Risks: Governing Models, AI and Agents Under Converging Global Regulation
- When AI starts acting, not just advising: What changes for payments, credit approvals, claims and regulatory filings once a model moves from recommending to executing.
- India’s two layers of guidance: RBI’s FREE-AI framework and the draft Model Risk Management guidance, with board-approved frameworks, risk tiering, kill switches and third-party accountability.
- A global common core, and what boards must show in 2027: Where RBI, MAS, OSFI, PRA and the EU AI Act align, and why supervisors will want evidence of control rather than policy documents.


Topic: Who Owns the Risk When the Model Acts?
- Board accountability: What a board-approved model risk framework and risk appetite look like in practice.
- One function or three: Whether model risk, AI governance and agentic risk should sit under one head, and where the Chief AI Officer fits relative to the CRO.
- Tiering AI and agents: How a GenAI copilot is tiered differently from an agent that approves credit or moves money.
- Human oversight that is real: Kill switches, escalation thresholds and override rights when agents act faster than people can review.
- Vendors, customers and global groups: Staying accountable when a vendor updates the model underneath you, and reconciling RBI, MAS, PRA and EU requirements in one framework.



Topic: Making AI Governance Work for NBFCs
- From model review to enterprise accountability: Moving beyond review committees to one governance framework for statistical models, machine learning and GenAI.
- Data risk as business risk: Managing data quality, lineage, privacy and consent in line with FREE-AI and the DPDP Act.
- From pilots to production: Practical GenAI use cases in fraud, collections and compliance, and how to show real business value.
- Validation that shows results: Connecting validation findings to portfolio quality, credit losses and collection efficiency.
- Build, buy or go indigenous: Weighing proprietary, open-source, third-party and indigenous AI while keeping accountability with the institution.

Topic: One Ecosystem for Model, AI and Agentic Risk – Live
- One inventory, four very different assets: Bring a PD scorecard, an ML fraud model, a GenAI RAG copilot and a credit-limit agent into a single inventory, including vendor and embedded AI, and tier each on materiality, complexity, reliance and autonomy.
- Validate and monitor what each asset needs: See scorecard and ML validation alongside GenAI tests for hallucination, jailbreaks and prompt injection, then track drift, bias and hallucination in production.
- Live agentic runtime assurance: Watch the credit-limit agent propose actions that are checked for identity, authority and limits, then approved, rejected, escalated or flagged, with a kill switch triggered live.
- From audit log to evidence pack, then your own readiness: Generate a regulator-ready evidence bundle in one click, then complete the self-assessment at your table and discuss it over dinner.


The day brought together India’s evolving model risk and AI rules, the leaders turning them into one operating model, a live walkthrough of four assets across their full lifecycle, and the controls that keep GenAI and agents in check at runtime. The takeaway is clear: models, AI and agents are best governed as one ecosystem, with evidence ready before the RBI guidance is finalised. Join us for an open Q&A with our speakers and leave with practical next steps for your own organisation.


Continue the conversation with fellow speakers, risk leaders, and governance professionals over dinner and drinks.

India has moved from principles to a rulebook in under a year. This conclave helps you turn that into a working plan for governing models, AI and agents as one ecosystem.
- Understand the new rulebook: Get a clear view of RBI’s FREE-AI framework and draft Model Risk Management guidance, and how they compare with MAS, PRA, OSFI and the EU AI Act.
- Learn from leaders doing it now: Hear CROs, model risk heads, AI governance leaders and NBFC practitioners share how they are organising risk ownership, tiering and oversight.
- See it working, live: Watch one lending portfolio go through its full lifecycle on a single platform, including a live agentic runtime demo with a kill switch triggered on stage.
- Leave with your own readiness view: Complete a one-page self-assessment at your table and discuss it with peers over dinner.
- Connect with senior peers: An invite-only gathering of 100 to 125 leaders from banks, NBFCs, insurers and fintechs, ending with cocktails and dinner.

Limited seats available. Confirm your participation today: Register Now!


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