Interview | From Experimentation to Enterprise: Governing Agentic AI at Scale | Insights from Phani Kaligotla

Scaling Agentic AI from experimentation to enterprise impact requires more than innovation, it demands strong governance, clear decision rights, and new ways of measuring value.

In this exclusive interview, Phani Kaligotla, Vice President, Global Product AI & Data Strategy, Mastercard, shares how to balance decentralised experimentation with centralised control, enabling innovation at the edges while maintaining enterprise-wide standards.

As agentic AI evolves into autonomous decision-making, Phani also explores how organisations can move beyond efficiency metrics to focus on outcome-driven value, trust, and real business impact.

Download to learn more about:

• Governance at Scale: Enable grassroots experimentation within clear guardrails, with reusable frameworks that make the safe path the fastest path
• Measuring True Value: Move beyond efficiency to outcome-based metrics like decision quality, customer impact, and business performance
• Decision Rights & Accountability: Define what agents can decide, what must be escalated, and how humans retain control over critical outcomes
• Trust & Control by Design: Embed auditability, traceability, and policy enforcement directly into AI workflows from day one
• From Pilot to Enterprise: Learn how to transition agentic AI from isolated use cases to scalable, organisation-wide capability

Agentic AI is not just about automation, it's about transforming how decisions are made, how value is created, and how organisations operate at scale. Download the interview to learn how to govern confidently, measure what matters, and unlock real enterprise impact with AI that acts.