How should finance organizations adapt to fast-evolving global AI governance rules and compliance?

Описание: Emagia Autonomous Finance Summit - 2025, Hyderabad

How should finance organizations adapt to fast-evolving global AI governance rules and compliance?

Finance organizations shouldn’t wait for regulations to fully stabilize before acting. Instead, they should build a flexible, principles-based AI governance framework that can adapt as global rules evolve. Starting with widely recognized regulations and standards — such as the EU’s AI governance approach, data protection laws, and model risk management guidelines — helps create a strong baseline. Finance teams should focus on core pillars like data quality, lineage, access controls, model transparency, explainability, and auditability. If these foundations are in place, adapting to country-specific rules later becomes far less disruptive.

Equally important is embedding governance into day-to-day operations rather than treating it as a one-time compliance project. Finance leaders should establish cross-functional oversight involving risk, compliance, IT, legal, and data teams to continuously monitor regulatory changes and assess AI model impact. Scenario planning, strong documentation, and ongoing model monitoring will help demonstrate accountability to regulators while maintaining innovation speed. In a fast-changing regulatory environment, the competitive advantage will go to organizations that treat AI governance as a living capability — not just a control function, but a trust enabler that supports safe and scalable AI adoption.

Speaker:
Vikram Kumar
CEO, Multiplier AI