From the Classroom to the Boardroom.

The hard part was never finding innovation

Insurance is not short of innovation. Accelerators and venture networks surface it constantly: Lloyd’s Lab, Plug and Play, the Global Insurance Accelerator, BrokerTech Ventures, and the portfolios tracked in PitchBook. Any executive can fill a calendar with promising startups by Friday.

The scarce skill is judgment. Which of these companies solves a problem that actually matters? Where is the evidence? What breaks during integration, what does compliance say, and what is the honest expected return? A promising demo is not an investment case, and the distance between the two is where corporate innovation budgets go to die.

The Vaughan Institute built its InsurTech Innovation course to close exactly that distance. Students learn to move from an interesting opportunity to a defensible business decision, and they learn it the way the industry learns it: by doing the work for real clients, under real scrutiny.

VITALS: a methodology for de-risking innovation

VITALS, the Vaughan InsurTech Analysis and Learning System, is the methodology the institute’s team developed to evaluate innovation before resources get committed. It forces the questions a disciplined buyer asks: the strategic fit, the evidence of demand, the economics, the regulatory exposure, the integration reality, and the measurable impact if the bet pays off.

Iteright is where VITALS runs. The partner’s goal and pain are captured first, as strategy, with the impact metrics that define success: claims time, leakage, and satisfaction on one engagement; quote-to-bind, producer productivity, and retention on another. Each candidate company becomes an opportunity connected to those goals and metrics, so relevance is established before anyone falls in love with the technology.

Validation then tests the opportunity from every side: market demand, differentiation, economics, regulatory fit, integration feasibility, and implementation risk. The final recommendation connects back to the original objective and the outcomes it could move. The line from problem to recommendation is preserved in the system, never handed off and lost between documents.

4

Three-week sprints per semester

3

InsurTech companies evaluated in every sprint

12

Company analyses completed by each team

~16

Corporate partner engagements across the semester

AI is the starting point. Students own the conclusions.

More than fifteen specialized AI agents inside Iteright assist the research, the analysis, and the reporting. They make the students faster. They are never the authority.

Every claim an agent produces is a starting point a student must verify: investigate what is unsupported, add the missing evidence, correct the assumptions, and own the conclusion that goes in front of the client. That pairing is what the industry actually needs: AI literacy with analytical discipline. The graduates who thrive will not be the ones who can generate an analysis in thirty seconds. They will be the ones who can tell a client which parts of it to believe.

The evidence: London, in six minutes

In May 2026, the University of Iowa documented a milestone that says more than any course description can. Two Vaughan Institute seniors traveled to London and presented recommendations on AI insurance risk to executives at Willis Towers Watson. They had six minutes to make the case. Their recommendation: partner with specialized InsurTech companies that understand the AI exposures traditional cyber insurance may not fully address.

The response is on the record. Adrian Willmott, Willis Towers Watson’s head of risk advisory, said the students demonstrated a sophisticated understanding of emerging risk. Inside the InsurTech Innovation course, the semester’s sprint work runs on Iteright. London is what the standard looks like when students are trained to it.

And the work is reaching the market. Jim Lewis reports that one corporate partner has begun exploring three companies identified through student analysis. The commercial outcome is not yet established. The direction is clear: analysis produced in a classroom is now inside a real company’s diligence pipeline.