In a recent report by Boston Consulting Group (BCG), insurance emerged as one of the fastest-moving industries when it comes to AI adoption. That finding stands in contrast to the industry’s long-standing reputation as slow to change — and reflects what many operators are already experiencing firsthand.

From experimentation to operational focus

Across carriers, MGAs, and brokers, conversations about AI are becoming more practical and more specific. The focus is no longer on standalone tools or isolated pilots, but on how AI can be embedded into everyday workflows and decision-making — in ways that fit the realities of insurance work.

This includes questions like:

• Where does AI meaningfully reduce manual effort?
• How does it support consistency and oversight?
• How can it be applied across workflows without introducing new risk?

These are operational questions, not theoretical ones.

What we’re seeing in the field

At FurtherAI, we see this shift play out every day. Insurance teams aren’t asking whether AI belongs in their organizations — they’re focused on how it can deliver measurable outcomes across core insurance workflows, with the controls and rigor the industry requires.

That emphasis on rigor matters. Insurance workflows are complex, highly regulated, and deeply interconnected. Any technology introduced into these environments has to work within those constraints, not around them.

AI as part of how work gets done

What’s becoming clearer is that AI is increasingly being treated as part of the operating fabric of insurance organizations — not as a layer added on top. The most productive conversations center on integration: how AI supports existing processes, improves consistency, and enables teams to operate more efficiently without sacrificing judgment or compliance.

This shift in focus reflects a growing understanding of what it takes to apply AI responsibly in insurance environments.

Looking ahead

The pace of adoption highlighted in the BCG report aligns with what we’re hearing across the industry. As teams continue to evaluate where AI fits into their organizations, the emphasis remains on practicality, trust, and real operational impact.

Thanks to Meg Green and Insurance Insider for the conversation that helped surface these perspectives.

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