Risk governance · Responsible AI · Enterprise transformation

I turn governance ambition into enterprise execution.

VP-level leader with 12+ years across risk, controls, AI, data and transformation—connecting senior intent to operating models, decision intelligence and controls that work in practice.

12+ years 3 business contexts Global teams
Speaker DataHack Summit 2026 AI governance at runtime
Kunal Deore in a navy suit, speaking with a headset microphone.
Kunal Deore Risk governance · Responsible AI execution

Selected work

Evidence of execution.

Three recurring problems I solve: fragmented governance, AI principles without operational controls, and data that reports activity instead of enabling decisions.

Enterprise risk transformation

Standardise enterprise governance

Designed a common governance approach that connects issue ownership, reporting cadence, evidence and senior review—reducing fragmentation while strengthening the audit trail.

My contribution

Operating-model design, stakeholder alignment, workflow digitisation and delivery mobilisation.

Leadership signal

Can move a multi-stakeholder governance ambition from uncertainty to an executable path.

Operating modelExecutive governanceAudit readiness

Selected work is described at a high level. Confidential programme names, data and client-sensitive details are intentionally omitted.

Selected writing & speaking

Ideas in public.
Controls in practice.

My perspective on making enterprise AI governable—and helping practitioners turn principles into action.

Editorial preview: AI, authority and enterprise controls
Finextra · Contributor opinion

When AI Can Move Money: Banks Need to Govern Machine Authority, Not Just Model Risk

Why agent permissions, autonomy limits and accountable risk acceptance belong alongside model validation.

Read the article
DataHack Summit 2026 stage display introducing Kunal Deore with his speaker biography and portrait.
DataHack Summit 2026 · SpeakerBengaluru · Aug 2026

AI Governance for Agentic AI: From Policy to Runtime Controls

A practical session on permissions, human oversight, traceability and intervention when AI systems can act.

Explore the official session Original stage-screen photo supplied by Kunal, cropped and sharpened for display. Session details linked to the organiser.

Articles express personal views. Finextra identifies this piece as external-author content, without editing by Finextra.

Leadership fit

Where I create the most value.

My strongest roles sit where governance, technology and enterprise change meet—not in policy ownership alone.

Transformation mandate

Turn complex risk priorities into scalable execution.

Best suited to senior mandates that need diagnosis, operating-model design, executive alignment and practical delivery across functions.

Director — Risk Transformation Principal — AI Governance Practice Lead — Controls Transformation

Start with the mandate

Building trusted AI or transforming enterprise risk?