As AI adoption accelerates across banking, financial services, and insurance, leaders face a pivotal challenge: how to deploy AI responsibly while maintaining trust, compliance, and operational integrity.

In this episode, hosts Olly and Ben sit down with Levent Ergin of Informatica to unpack what itakes to build AI systems that perform reliably in high-stakes environments. While the conversation touches on the mechanics of AI, it ultimately returns to one central theme: AI success depends on strong foundational design, disciplined governance, and trustworthy data.

Core insights:

1. Establish cross-functional governance to ensure AI initiatives meet compliance and risk standards.
2. Select use cases strategically, beginning with low-risk, high-volume applications.
3. Invest in training to help teams understand, use, and supervise AI responsibly.
4. Continuously monitor AI systems to ensure value, accuracy, and compliance.
5. Prioritise authoritative, validated data sources to reduce hallucination and enhance reliability.

• Build trusted, compliant, end-to-end data pipelines
• Reduce AI hallucinations with authoritative data and automated quality controls
• Implement governance frameworks aligned to regulatory expectations
• Modernise data architectures to support scalable, responsible AI
• Confidently operationalise AI use cases that deliver measurable impact

Transform your data foundations and unlock AI you can trust.