Abstract
AI is moving faster than most organisations’ ability to govern it. This session gives professionals like us the regulatory knowledge, operational frameworks and practical instincts they need to ensure AI is deployed lawfully, ethically and safely.
We cover the mandatory landscape (EU AI Act, NIST AI RMF, ISO 42001, GDPR), the seven principles of responsible AI, and the operational mechanics that make governance real on the ground — data governance, decision rights, accountability matrices, internal and regulatory reporting, escalation paths, and exception management.
We will touch on some practical nuances to help you build strong, sustainable and ethical AI systems.
About the speaker
Pankaj Jain (PJ) is a senior risk, governance, and transformation leader with deep expertise in building and scaling enterprise-grade governance, risk, and compliance (GRC) capabilities. With a track record spanning complex, regulated environments—particularly in financial services—he specializes in designing pragmatic control frameworks, embedding assurance mechanisms, and driving large-scale transformation programs that balance regulatory rigor with operational agility.
His work sits at the intersection of risk strategy, control effectiveness, and business performance, with a strong emphasis on simplifying complexity and enabling measurable outcomes.
As the founder of Hexagrow, Pankaj is focused on building a next-generation consulting firm that combines deep domain expertise with AI-enabled delivery to help global clients strengthen governance, accelerate compliance maturity, and operationalize intelligent controls. He is particularly interested in emerging areas such as AI governance, controls assurance at scale, and data-driven risk management, with a vision to create a differentiated, high-impact advisory platform serving large enterprises across the globe.
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