Gregory Johnson, VP Product Management for AI & ML is responsible for accelerating cost-effective service delivery for JPMorgan Chase’s vast network of contact centres, receiving over 400 million calls annually. In this session he joins us to share how they are building production-ready systems that are consistent, compliant, and reliable, to deliver tangible business value within highly regulated sectors at scale. Key takeaways include:

• Unpacking the risks of output variability in high-stakes, regulated environments.
• Designing and implementing production-grade guardrails to enforce response consistency.
• Leveraging extensive A/B testing to validate accuracy and stability before rollout.
• Aligning generative AI outputs with enterprise governance and regulatory expectations.

Generative AI holds immense potential to revolutionise sectors like banking, healthcare, and government—but innovation in these fields must operate within tight regulatory and compliance boundaries. This panel brings together leaders from regulated industries to explore how they are unlocking AI-driven transformation without compromising on ethics, safety, or governance.

• Balancing agility and control: Driving Gen-AI experimentation while maintaining regulatory compliance
• Rethinking guardrails, tooling, and internal policies enable safe AI deployment at scale
• Identifying high-value, low-risk entry points for Gen-AI in compliance-heavy environments
• Making infrastructure and tooling decisions that meet both innovation and compliance needs