We came to AiPEX ’26 as sponsors, speakers, and, most importantly, listeners. iPipeline’s annual conference brings together the carriers, distributors, and technology partners who are actively building the next chapter of insurance innovation. Three days of sessions, roundtables, and hallway conversations gave us a clear picture of where the industry’s heading.
Here’s what stood out:
1. AI adoption is real…and so is the responsibility that comes with it
The energy around AI at this year’s conference wasn’t hype. It was grounded. iPipeline’s product and technology leadership laid out a roadmap that weaves AI into everything from underwriting workflows to client engagement. Keynote speaker Zack Kass, former Head of Go-To-Market at OpenAI, brought an outside-in perspective on what transformation at scale actually looks like — and what organizations tend to underestimate about it.
But what struck us most was the maturity of the conversations happening beyond the main stage. Breakout discussions kept returning to the same questions: Where does AI genuinely move the needle, and where does it create noise? How do you make sure automation enhances fairness rather than quietly eroding it? How do you build trust with agents, clients, and regulators when decisions are increasingly made by systems rather than people?
These aren’t the questions of an industry still debating whether to adopt AI. They’re the questions of an industry that has already committed and is now doing the harder work of getting it right.
2. Data health is the make-or-break factor
If there was one recurring message at AiPEX, it was this: your data quality determines the ceiling on everything else you’re trying to do.
NIGO rates — cases returned for being Not In Good Order — came up repeatedly as a concrete symptom of what happens when process speed outpaces data integrity. It’s one of those metrics that reveals a lot. When cases keep coming back for corrections, it’s rarely just a training problem. It’s usually a signal that somewhere upstream, data quality, system integration, or workflow design needs attention.
For organizations investing in AI, this is the unglamorous but essential work. AI doesn’t fix bad data; it scales it. The firms that will get the most from their technology investments are the ones building the data foundation first.
3. Speed is the new competitive moat, if you can sustain it
One of the most striking product visions on display was the prospect of underwriting, binding, and delivering a policy in 30 minutes or less. That’s not an incremental improvement on the old model. That’s a different model entirely.
The broader conversation around distributor productivity, digital-first workflows, and operational efficiency all pointed in the same direction: the firms that win in the next five years will be the ones that can move quickly without sacrificing accuracy or compliance. The phrase that stuck with us was “smart speed” — the idea that velocity only becomes an advantage when the right infrastructure is behind it. Speed without discipline doesn’t scale. It just creates faster failures.
That tension between urgency and rigor came up again and again. Getting to market faster matters. Getting it right still matters more.
4. Quality engineering is the unsung enabler of everything above
In our session alongside iPipeline’s AVP, Justin Klinger, we walked through how iPipeline modernized its Quality Engineering practice, moving from a manual-heavy process to an automation-first mindset, powered by AI tools. The outcomes were tangible: faster release cycles, broader test coverage, and meaningfully higher confidence in every deployment.
The insight we kept coming back to is one we believe applies broadly: in an AI-driven delivery environment, quality engineering isn’t a checkpoint at the end of the development process. It has to be woven into every stage. When you’re releasing continuously, when agents and distributors depend on your platform to close business in real time, the cost of a defect is reputational and commercial.
AI-augmented testing changes what’s possible. Earlier detection, smarter coverage, and the kind of release confidence that lets product and engineering teams move faster without holding their breath. The organizations delivering on the speed promise aren’t cutting corners on quality — they’re redefining what quality engineering looks like at pace.
5. The mid-market is at an inflection point
One of the quieter but more significant themes at AiPEX was the pressure facing mid-size carriers and distributors. Firms that have historically relied on manual processes and lean technology teams are now being asked to deliver digital-first experiences that match what agents and clients expect from the market’s largest players.
The good news is that the gap is closeable. The tools exist. The integrations exist. What’s often missing is a clear sense of where to start, and the confidence that the investment will compound rather than just add complexity.
The answer we kept hearing echoed our own experience: build the foundation before you accelerate. Get the data right. Get the workflows right. Get the quality infrastructure in place. Then scale. Organizations that skip those steps in the rush to modernize tend to find themselves moving fast in the wrong direction.
Final thoughts
AiPEX ’26 reinforced something we believe strongly: the insurance industry is not behind on technology. It’s in the middle of a serious, deliberate transformation, and the conversations happening at events like this are evidence of an ecosystem thinking carefully about how to do it well.
iPipeline is building something ambitious. The partners, customers, and technology providers in that room are working hard to meet that ambition. We’re proud to be part of that work. And we’re looking forward to what comes next.
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KMS Technology is a full-service technology and AI solutions partner. At AiPEX ’26, our team presented alongside iPipeline’s Quality Engineering leadership on modernizing QE practices for AI-driven delivery. To learn more about how we help organizations build the foundation for sustainable technology transformation, get in touch.
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