Research

Europe and the UK are working out how AI agents should buy on people's behalf. This article covers Europe and the UK. Neither is banning agents from insurance, but both point to the same need: evidence that the customer saw and agreed to what they bought.

I asked an AI agent to renew my car insurance. It found my old policy, compared five quotes, bought one and cancelled the old one. It also never checked the details with me.

Fewer clicks never fixed insurance. What changes when intelligence moves inside the experience: guidance in context, understanding over price, and a service that quietly acts on your behalf.

Why the financial product people are least likely to ask AI about today is the one they will delegate to AI agents first.

Most insurance conversations are already voice conversations. It's just that, until now, both voices were human. Increasingly, one of them will be AI.

The Mills Review predicts insurance in 2030 will be continuous, delegated and agent-led. Here is what it gets right about consumer insurance, and the trust infrastructure the industry needs to build to get there.

Open has hired an AI employee. Nepo lives in our Slack, runs scheduled jobs for the team and is building a single source of truth for how Open works. It is changing how we work, and getting us ready for what comes next.

Insurance isn't really a product business, it's an information business. That makes being AI-first a matter of survival, not strategy. Here is our current thinking on what that means in practice, from machine-readable knowledge to the shape of the team.

For safe and robust deployment of customer-facing GenAI, you need a supporting safety harness around your LLM.

The hard part of using AI in insurance is not capability, it is control. Here is how we secure any language model with five independent layers of safety.

Today, we’re introducing the AI Compliance Risk Index™ - a new benchmark for measuring the safety of consumer-facing GenAI tools in insurance.

What you share, and who you share it with, should be up to you. Here we look at how we design and architect for privacy, and give users control over their information.

Once a year you put up the Christmas tree, once a year you blow out your birthday candles, and generally, once a year you buy your insurance. What tools and methods can we use to influence that decision? How can we capture that customer in the small window of opportunity?