After 30 years building and leading in Insurtech, I’ve learned to be cautious with the word “transformation.”

We’ve seen waves of technology that promise to reshape the industries meaningful, many incremental and we all know this industry runs 15 years behind all others.

What’s happening with AI over the past two years is, without a doubt, fundamentally different.

Not because of what it replaces—but because of what it unlocks.

For decades, backend development in Insurtech has been defined by constraint:
legacy infrastructure, regulatory complexity, and systems that demand constant maintenance just to remain operational because they were put together by many in house people over the years with many different styles.

As a result, even our most experienced teams spent the majority of their time in execution mode—writing, fixing, and adapting within existing boundaries.

What hasn’t changed is the importance of experience.

Deep and lived understanding of how products, risk, operations, and customers (Agents and clients) intersection remains irreplaceable.

What has changed is the leverage applied to that experience.

For years, many of us recognized opportunities to fundamentally improve how systems were designed and how customers were served.

But the reality was clear:
the cost, time, and risk required to challenge existing architecture often outweighed the perceived benefit.

So, the industry optimized around what existed and fragmentation and a sheer mess tied things so tight that the pretibial “Can” continued to get kicked down the road.

AI in the right hands of those experienced players is now allowing for change and adding the ability of all that industry knowledge to produce income and sales (Immediate ROI).

By reducing the effort required to build, test, and iterate, it is removing a layer of friction that historically limited meaningful change.

And in doing so, it’s creating space for something more important than speed:

Reflection.

Developers and technical teams are no longer operating solely as producers of code.

They are increasingly acting as reviewers, analysts, and—importantly—proxies for the end user.

They have the capacity to ask:
“Is this experience intuitive?”
“Where does this introduce unnecessary complexity?”
“Are we solving the right problem, or just maintaining the current one?”

“How can we leverage the information to help our clients”                                

This shift is subtle, but significant.

Because the future of Insurtech will not be defined by who writes code faster.

It will be defined by who understands the customer—and aligns systems accordingly.

AI will not replace expertise or creativity in the next few years, so we have an amazing opportunity in front of us to get things done now.

And for the first time in a long time, it is giving experienced operators the ability to challenge long-standing assumptions and reshape parts of the industry that were previously considered too complex to change.

That is where the real transformation is happening.

Anne Davis, Keith Gelles and I would love to have thought leadership conversations with you and your team, on what your thoughts and plans are and what we see the industry is doing.

With our combined experience in the industry I can guarantee a great conversation!