Five Takeaways from Insurtech Insights 2025—Through a Wisedocs Lens

This year’s Insurtech Insights USA felt more focused, thoughtful, and aligned with where the industry is headed. Held at the Javits Center in New York, it brought together over 6,000 leaders from across insurance, insurtech, and investment to explore what’s next for the industry. The sessions were packed with sharp insights, big questions, and practical conversations about where we’re seeing traction and where challenges remain.

As someone who has been in this space since 2019, the conversations around AI at this year’s event felt more grounded than ever. There was less talk about what could happen and more focus on what’s already working, and where AI can be implemented in current processes. Our team at the event echoed the same sentiment — it’s clear the dialogue has shifted. AI in insurance claims processing was valued at about 172.7 million dollars in 2024 and is expected to grow nearly 18% each year. At Wisedocs, helping claims professionals make sense of complex medical records is at the heart of our mission, empowering claims teams to move with more clarity and confidence. Seeing the industry begin to prioritize both the tools and the data behind them felt like a real step forward.

Here are five takeaways from the Insurtech Insights that stayed with me.

1. AI Is the Headliner, but the Data Gap Is Still Holding Everyone Back

AI was everywhere this year. It came up in sessions, conversations held on the expo floor, and in casual hallway chats. But one thing was missing from most of those conversations. Everyone’s eager to automate, but few are talking about the messy data feeding these tools. Incomplete files, bad scans, and inconsistent formats can derail even the smartest AI algorithms. Without clean inputs, the results just aren’t reliable.

MIT Sloan found that poor data quality can cost insurers 15 to 25% of their revenue. That’s a big hit for something fixable. Our team at Wisedocs is dedicated to structuring and indexing medical records first so teams can move quickly and with confidence. Reliable output starts with getting the foundation right.

2. Real Results Come From Targeted Use Cases, Not Broad Promises

There was plenty of talk about sweeping AI change, but the most productive discussions focused on specific problems. The biggest gains came from things like cutting down time spent on record review, speeding up medical chronologies, and helping adjusters surface key facts without getting buried in paperwork.

That’s where real impact shows up. Prioritizing these use cases will effectively move the needle and make the largest change for teams dealing with claims first hand. With the right approach, organizations are able to automate and scale close to 70% of the claim-processing workflow, giving adjusters space to concentrate on the work that really needs their expertise.

3. Governance Is Now a Must-Have, Not a Nice-to-Have

Governance came up in almost every session I joined. The narrative has moved beyond what AI can do to how it does it, who’s checking the output, and how bias is being addressed. More teams are realizing that without transparency and oversight, automation can create risk instead of removing it.

Regulators are moving in the same direction. As of March 2025, 24 states have adopted the NAIC Model Bulletin, which calls for formal AI governance covering things like disclosure, bias controls, vendor accountability, and human oversight. Within Wisedocs, expert review is already part of the process, so users know they’re working with outputs they can explain and trust.

4. You Can’t Automate Chaos

Too many tools are trying to speed up workflows that don’t truly work. If you’re still piecing together claim files by hand, layering AI on top won’t fix the root issue. It might reduce the time involved, but it won’t make it better.

This strategy comes at a cost. In healthcare billing, up to 30% of claims are denied, and most of those never get resubmitted. The teams seeing real progress are rethinking their processes first, then adding automation where it makes sense. That extra effort upfront leads to stronger results down the line.

5. The Best Solutions Are Built Around People, Not Just Tech

The strongest partnerships I saw at Insurtech Insights weren’t the ones with the flashiest demos. They were the ones built on a clear understanding of the duties and processes of knowledge workers' in the claims industry. That means recognizing the pressures adjusters face, the responsibilities carriers manage, and the expectations that come from regulators.

Tech on its own can only go so far. Tangible results happen when everyone is moving in the same direction. When vendors, carriers, and regulators are aligned, technological solutions become useful because they fit into claim specific processes and workflows.

Closing Reflections

This year’s Insurtech Insights conference left me feeling more hopeful than I expected. Seen across the industry there’s more thoughtful curiosity, sharing of real use cases, and less focus on buzzwords. That shift toward substance is a good sign that we’re headed in the right direction.

It also gave me time to reflect on where Wisedocs fits in. We are not chasing trends. We are building tools that work in everyday claims settings for all stakeholders involved. That means AI supported by industry specific data, human-in-the-loop expert review, and a mission that puts trust and clarity at the center of every decision. As a purpose-built claims documentation platform, Wisedocs brings all of this together to help insurance teams cut through complexity and reach better outcomes, faster.