Insurance Doesn't Have a Technology Problem. It Has a Decision Problem.

I sat on a webinar panel last week that I haven't stopped thinking about, and I don't say that about most webinars, including some of my own. 

Insurtech Insights put together a conversation on building the agile insurance enterprise, bringing together three industry experts with very different perspectives on what it takes to make agility work in practice: Roddy Barnes, who oversees strategy at Bupa, a healthcare payer-provider operating in 14 countries; Rohan Rayarikar, who runs engineering for sales distribution and underwriting platforms at Prudential; and me, watching this from the vantage point of having spent years inside a carrier before spending the years since helping other carriers try to move faster. An hour was nowhere near enough. What came out of it deserves more than a recap because it gets at a fundamental question facing insurers today: how do you turn more technology and intelligence into faster, better, and more connected decisions across the business? 

Here's the provocation, and it's Rohan’s, not mine: insurance doesn't have a technology problem. It has a decision problem. And most of the industry is busy solving the wrong one. 

The Question Technology Alone Can’t Answer 

Tom, our host, opened with a line that should make every CTO in insurance a little defensive: insurers are running more technology than ever, and most still aren't making decisions any faster. Sit with that.  Technology investment grows, cloud migrations progress, and AI pilots multiply. Yet the ability to translate those investments into faster, more effective business decisions remains a challenge. And that matters because decision speed is only valuable when it improves the outcomes insurers care about: responding to market change, selecting and pricing risk effectively, protecting profitability, and delivering relevant experiences to customers and intermediaries.  

Rohan's answer cut through the noise in a way I wasn't expecting from a panel like this. For years, he said, the model was "here is a system, here is technology that can help your life," a tool you visit when you need it, sitting off to the side of the actual work. What has to change isn't the tool. It's the idea that tools are the unit of progress at all. The real shift is from disconnected systems to what he called an intent-to-decision path: a layer that carries a customer's context through underwriting, pricing, and engagement without making them, or the advisor representing them, start over at every stage. 

He backed it with a number I haven't been able to shake: 90,000-plus financial professionals in Prudential's field force, every one of them needing that same context the instant they need it. At that scale, the challenge goes beyond any individual dashboard or system. It requires a way for context, intelligence, and workflows to come together around the decisions being made. 

What if Underwriting Became a Signal? 

A few years back, working inside a mid-sized carrier, I used to run a thought experiment on anyone who'd sit still for it: what happens if you delete every underwriting rule overnight? Not simplify. Delete. Conventional wisdom says you're stuck between writing everything or writing nothing, which is a false binary that's kept underwriting teams busy and unproductive for decades. 

There's a third door. If you trust that pricing in the market is roughly right, the question underwriting is actually answering isn't "approve or deny." It's "how confident am I that this is priced correctly?" That's it. Everything else is theater. A married couple with two Toyota Corollas: high confidence, straight through, no human required. An 18-year-old with three Ferraris: low confidence, kick it upstairs. Viewed this way, underwriting becomes more than a gate. It produces a signal that can inform the decisions that follow. And that signal becomes much more valuable when it can move beyond the underwriting workflow to help shape pricing, customer engagement, and the next best action. 

That's the same argument Rohan was making, walking in through a different door. Which is exactly the problem: two people, two carriers, arriving at the identical conclusion independently, and the industry still treats it as a niche insight instead of the obvious next move. 

Technology is Only Part of the Transformation 

Here's where Roddy introduced another important dimension to the conversation: AI may be changing what insurers can do, but technology alone doesn’t solve the underlying challenge.  It was never about the cloud either. He'd lived through that migration and watched it become, in his words, an "unlock that moves the bottleneck." The technology was never the hard part. The organizational rewiring was, and still is. 

I agree with him more than I'd like to. If he's right, and I think he is, then connected decisioning isn't a build problem you solve with a bigger AI budget. It's a governance and accountability problem, and it's a much less comfortable one to fund. Who owns the decision when pricing, underwriting, and customer engagement all have a legitimate claim on the same moment with the same customer? Nobody on that panel had a clean answer, myself included, and I trust every one of us more for admitting it than I would if we'd pretended otherwise. 

The Panel Everyone Else is Avoiding 

What stayed with me after the webinar was how consistently we came back to the same underlying issue from very different perspectives. Insurance agility increasingly depends on how effectively an organization can connect context, intelligence, and action across the decisions that drive the business.  

That means pricing doesn’t operate independently from underwriting. Underwriting intelligence can inform how a customer is engaged. Customer and market signals can feed back into future decisions. And AI can support those decisions within the governance, controls, and workflows insurers require.  

This is also the thinking behind the Earnix AIOS. AIOS provides the foundation for data, models, AI, workflows, and insurance-specific capabilities to work together, while Earnix solutions across pricing, underwriting, and customer engagement bring connected decisioning into the moments where insurers operate.  

The opportunity is to shorten the distance between insight and action while maintaining the consistency, control, and human judgment insurance requires.  

I left that hour with more questions than I walked in with, which may be the best sign that it was a conversation worth having. As AI creates new possibilities across insurance, the opportunity is to build an environment where better intelligence can continuously lead to better decisions.