The Confidence Trap in AI-Powered Research

AI is everywhere.

It’s in every presentation, every product demo, every conversation about the future of insurance.

But for insurance, the hype hides a problem that’s becoming more visible by the week.
Generic AI, however impressive it looks, doesn’t understand the industry it’s trying to serve.

It’s fast. It’s articulate.
But it’s also shallow.

The confidence trap

Across the market, we’ve seen teams turn to large language models to summarise reports, assess startups, and explore new technologies.

At first, it feels like a breakthrough.
Answers appear instantly.
The tone is convincing.
The process looks efficient.

Then you start checking the details.
Dates are wrong.
Companies are misclassified. Worse still they’ve already been discounted.
Trends are lifted from unrelated sectors.

The outputs look professional but lack the context to make them useful.
That there is the danger.

AI is built to sound confident, not to understand nuance.

For insurers, that creates risk in a different form.
It’s not operational. It’s strategic.

The cost of misdirected market intelligence

When a model built for general use is applied to a specialist industry, the results are predictable.

Teams follow false leads.
Opportunities are missed.
Effort is wasted validating what never should have needed validation in the first place.

We’ve seen projects stall because insights proved to be lacking.
We’ve seen partnership discussions collapse because the intelligence driving them wasn’t accurate. 

In a sector where precision matters, generic AI can quietly erode confidence.

The cost isn’t in the technology.
It’s in the decisions made from the wrong information.

What we’ve built differently

At Sønr, we’ve taken a different approach.

Sønr 2.0 is powered by AI, but not the kind trained to know everything about nothing in particular.

Our agents draw on ten years of verified insurance intelligence – data gathered, cleaned, and enriched by people who live and breathe this industry.

They understand what makes a partnership valuable.
They recognise the difference between a proof of concept and a scalable capability.
They know which signals matter.

When Sønr 2.0 gives you an answer, it’s built on that context.
And then fact checked.

It’s not guessing. It’s grounded.

Beyond automation

This isn’t about replacing people or pretending AI can do it all.
It’s about building intelligence that knows the business as well as the people inside it.

Sønr 2.0 combines automation with human judgement.
The AI handles the scale and speed.
Our analysts – available on-demand – bring depth and perspective.

Together, they cut through the noise and deliver what matters – insight you can actually use.

The real risk

The risk of generic AI isn’t failure.
It’s distraction.

It pushes teams to act on information that looks sharp but lacks substance.
It drains time and confidence.
It makes innovation harder than it needs to be.

Sønr 2.0 was built to solve that – to give insurers intelligence they can trust, powered by technology that understands their world.

Because the goal isn’t to move faster.
It’s to move in the right direction.

Join the Sønr 2.0 waitlist → sonr.global/2-0

This article is part of our Sønr 2.0 series exploring how insurers are transforming intelligence into action.