Why This Matters Now

AI adoption in insurance has moved well beyond the pilot stage. The challenge now is ensuring today's investment becomes tomorrow's competitive advantage, rather than tomorrow's legacy problem.

What leaders are contending with right now:

• AI costs often remain invisible until solutions move from pilot to enterprise scale.

• Explainability and governance become critical when decisions need to be defended months or years later.

• Legacy integration patterns weren't designed for agentic AI, increasing future re-platforming risk.

• Many AI investments improve visibility but fail to automate meaningful work across the insurance value chain.

Governance, architecture and integration are no longer technical considerations. They are strategic decisions that determine whether AI compounds in value or compounds in complexity.

This roundtable is designed to help leaders benchmark their own AI strategy against the practical experiences of peers navigating many of the same investment decisions.

What This Discussion Will Cover

The discussion will centre around three core areas:

Production-Readiness vs. Proof of Concept
What separates AI that holds up at scale from AI that only impressed in a demo. Identifying the warning signs before the contract is signed, not after..

Governance and Cost Control
Where token costs and decision governance quietly become a board-level issue. Building the audit trail and explainability an insurance decision needs to survive regulatory scrutiny, years after it was made.

Integration and Architecture
Where AI investment becomes stranded investment. What it takes to ensure AI connects to the rest of the stack and drives action, rather than sitting as another system that only displays information.

What You Will Take Away

You’ll leave with:

A sharper lens for evaluating AI platforms
How to tell production-ready architecture apart from a generic AI tool with an insurance label, before you commit budget.

A practical view of where governance gaps actually bite
Audit trails, explainability, and drift detection, and what "good" looks like for products with decades-long risk horizons

Peer benchmarks and real-world examples
How other Australian insurers are managing AI cost, governance, and integration as they move from pilot to portfolio

A clear set of questions to take back to your technology roadmap
What to ask your current and prospective vendors next, and what a credible investment case actually looks like

Who Will Be In The Room

The value of this discussion won't come from a single viewpoint. It will come from bringing together insurers at different stages of their AI journey to openly discuss what's working, what's proving difficult, and where the next wave of investment is heading.

A curated group of senior leaders from Australian insurance organisations, including:

• C-Suite executives from technology, strategy, data and customer programs

• General Managers/ Heads of AI, Data and Analytics, Strategy, Digital Transformation, Customer, and Technology

• Executive Managers and Senior Managers overseeing AI, data, and technology investment decisions

Participants are selected to ensure a high-calibre, peer-level discussion under Chatham House Rules.