Archives: Agenda

We cut through the hype to identify where AI is delivering measurable value in insurance today, and where it still falls short

• Where AI is already working at scale: high-volume, decision-heavy workflows across claims, underwriting and operations
• Why some use cases fail: complexity, lack of structure, and overreliance on generic models without workflow design
• How to think about AI as an operational layer: combining agents, human oversight and structured processes to drive accuracy and efficiency
• What to prioritise now: selecting use cases with clear ROI, measurable outcomes and a path to production rather than experimentation

• See how AI is transforming insurer operations—workflows, decisioning, knowledge search and document processing.
• Learn why secure, private, compliant (in‑perimeter) AI is now essential—and how insurers are moving beyond open‑internet tools.
• Explore real client results: less manual work, faster decisions and more consistent outcomes.

UK financial regulators recently held urgent discussions with cybersecurity officials and major banks to assess risks posed by new AI models. This session will examine today’s complex cyber landscape and explore what needs to be done, and when, to make it safer.

• NCSC CEO Richard Horne warns, AI makes it “easier, faster, and cheaper” for attackers to discover and exploit weaknesses, creating growing pressure on organisations to patch systems far more rapidly than current practice
• In the near term, AI will expose organisations that haven’t taken adequate steps to protect themselves.
• Looking further ahead, organisations must prepare for post-quantum cryptography, while more immediate priorities include agentic AI risks, supply chain attacks, ransomware, cyber insurance, and building genuine cyber-resilience

Three human capabilities amplified by AI.

Why hybrid teams outperform automated/manual models.

What leaders must redesign in culture and workflow.

How day 1’s digital backbone enables day 2’s human and machine capability.  Why 2026-2030 will redefine roles, skills and decision making and the shift from digital transformation to digital performance leading to precision and proof.

• How leading insurers are designing data for speed, accuracy and scale and connecting the dots across functions
• The operational impact and gains of simplified data, faster decisions, fewer errors and better customer outcomes.
• What changes when teams see the same truth and what a modern data backbone looks like in 2026.

The first pricing, claims and liability shifts insurers must prepare for

From driver risk to risk system, what disappears first.

How pricing models will change.

What changes with autonomous vehicles in insurance.

The market has moved on from ambition to accountability, and the firms pulling ahead are the ones turning digital investment into measurable performance.

• Smart technology investment can allow insurers acquire more customers while addressing wider macro issues such as underinsurance
• Deployment of AI across all industries outside of insurance brings cyber policies to the forefront as a market opportunity
• To give required ROI, tech investment has to be targeted and appropriate for the size and nature of insurance organisation