Research
Thinking, experiments, and progress as we use AI to tackle the hard problems in insurance.
- 4 min
UK consumer insurance in 2030

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.
Read more - 2 min
Meet Nepo, our newest new starter

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.
Read more - 3 min
Designing and building a safety harness for our insurance LLMs

For safe and robust deployment of customer facing GenAI, you need a supporting safety harness around your LLM.
Read more - 4 min
The Insurance Safety Harness: five layers that make LLMs safe to deploy

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.
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Why GenAI in insurance is risky, and why it's worth getting right

Today, we’re introducing the AI Compliance Risk Index™ - a new benchmark for measuring the safety of consumer-facing GenAI tools in insurance.
Read more - 3 min
Privacy by design

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.
Read more - 4 min
How to sell insurance

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?
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