AI in Insurance:

From Promise to Practical Progress

Modern insurers agree the technology is ready. So why are most still stuck in pilot mode? We bought together insurers, MGAs and intermediaries for a closed-door round table to find out.

Modern insurers agree the technology is ready. So why are most still stuck in pilot mode? We bought together insurers, MGAs and intermediaries for a closed-door round table to find out.

  1. Why data and platform foundations matter more than the AI model itself
  2. How leading insurers are setting human-in-the-loop boundaries
  3. What the EU AI Act means for explainability and audit trails
  4. How smaller MGAs and intermediaries can compete with the biggest players on intelligence and experience.

Whether you’re a CTO mapping your next platform move, a claims director weighing up automation thresholds or a transformation lead trying to bring your teams along for the ride, the 10 takeaways in this report give you a clear, actionable starting point.

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Most insurers agree that AI works.
The harder question is why so few have scaled it.

Netcall, TEKsystemsFirst Day Advisory Group and Insurtech Amsterdam brought together insurers, MGAs and intermediaries in Amsterdam for a closed-door roundtable on AI adoption in European insurance. The result is a candid, practical report on what’s really holding the industry back – and what the organisations making real progress are doing differently.

The gap between AI capability and organisational readiness is widening fast. While some insurers are already running straight-through claims processing at 85% automation rates and outperforming human accuracy in contact centres, most are still stuck in pilot mode. The technology isn’t the problem. It’s the foundations, the governance and the people side of change.

This report cuts through the hype to explore four of the most pressing challenges facing insurance leaders today:

Balancing speed with control

Building genuine trust in AI decisions

Icon of workflow

Navigating adoption across organisations of every size

Scaling from isolated wins to enterprise-wide digital transformation

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