The conversation reinforced a core belief shared by Aman and the FurtherAI team: the future of AI in insurance isn’t determined by the sophistication of the model, but by the people who bring it to life. The companies that win aren’t the ones with the flashiest demos. They’re the ones that manage change like a team sport.

Start with Value, Not Vibes

Too many AI projects start with excitement rather than intention. A hallway idea or a conference trend can quickly turn into a shiny tool that no one uses. The difference between hype and impact lies in clarity: define the problem in one sentence, tie it to a KPI, and make sure solving it improves someone’s daily work. When value is tangible, adoption follows naturally.

Map Change Styles to Roles

AI transformation depends on people, not just processes. Everyone experiences change differently. Some thrive on it, others need time to adjust, and some bridge both sides. Recognizing these differences early keeps projects grounded and teams aligned. Originators drive exploration and innovation. Conservers bring structure and surface potential risks. Pragmatists connect both groups and make strong project leads. When leaders manage these styles with empathy, change becomes collaborative instead of forced.

Appoint a Champion and a Sponsor

Executive sponsorship sets vision, but momentum lives with the internal champion — the person who owns the workflow, demonstrates progress, and connects technology to day-to-day value. This partnership between sponsor and champion often determines whether adoption takes root. Success depends on both leadership alignment and hands-on ownership.

Product Discipline Over Shiny Object Syndrome

In a fast-moving industry, it’s easy to get distracted by what’s new. Product discipline keeps AI projects focused on outcomes that matter. Pairing a Product Owner, who represents business needs, with a Product Manager, who protects priorities and sequencing, ensures each decision supports measurable value. The goal isn’t to say yes to everything. It’s to prioritize what drives progress.

Reframe the Talent Story

AI isn’t about replacing people. It’s about empowering them to focus on the work that truly requires expertise. The opportunity lies in helping teams work at the top of their license — spending less time buried in spreadsheets and manual workflows, and more time applying underwriting judgment, nurturing broker relationships, and delivering client impact. When technology supports people instead of overwhelming them, everyone wins.

The Takeaway

Before launching another AI pilot, define a clear KPI to improve and identify who will champion it internally. The difference between ideas that inspire and initiatives that succeed comes down to clarity, accountability, and collaboration.

True success in AI isn’t about having the best technology, it’s about having the right people aligned around value and trust.

Watch the full panel session here.
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