How Notion's AI Pivot Could Teach Insurers to Rebuild

The Insurance Industry's Notion Moment

Insurance has always been a slow-moving industry. Legacy systems, regulatory hurdles, and decades-old processes define the status quo. But the rise of AI is forcing a reckoning. Just as Notion—a productivity software company—had to reinvent itself to stay relevant, insurers must decide whether to patch up old models or start fresh.

Notion's journey, from a struggling startup to a $6 billion revenue company, offers a blueprint for industries like insurance that are ripe for disruption. The key lesson: don't just add AI features; rethink the core of what you do.

From Kyoto to GPT-4: The Two Rebuilds

Notion's first rebuild happened in 2013. The company was running out of money, and founder Ivan Zhao made a radical choice: cut the team, move to Kyoto, and start over. With just two people, they focused on a simple question: what problem are we really solving? This clarity helped Notion find its product-market fit.

The second rebuild came after GPT-4. Zhao realized that this was not just another tech trend but a fundamental shift in how knowledge work happens. For insurers, the equivalent might be the advent of AI-driven underwriting or claims processing. It's not about adding a chatbot; it's about rethinking the entire value chain.

What Insurers Can Learn from Notion's AI Pivot

Notion didn't just bolt on AI features. They transformed their product into an "AI workspace." For insurers, this means moving beyond simple automation. Instead, AI should be woven into every interaction—from policy issuance to claims settlement—creating a seamless, context-aware experience.

One concrete example: Notion's AI can search across all connected tools, pulling relevant information instantly. An insurer could do the same, giving adjusters immediate access to policy details, claim history, and external data, all in one place. That's not just efficiency; it's a better customer experience.

Organizational Change: From Marching Band to Jazz Band

Zhao describes Notion's new structure as a "jazz band" rather than a "marching band." In insurance, this means breaking down silos. Underwriting, claims, and customer service teams need to work more fluidly, sharing information and making decisions in real time. AI can facilitate this by providing a common platform for data and insights.

This doesn't mean eliminating hierarchy—Zhao is clear that hierarchy is natural. But it does mean being more adaptive. For insurers, that could mean creating cross-functional teams that can respond quickly to market changes, rather than waiting for approvals from the top.

Hiring for Taste and Initiative, Not Just Experience

Notion's hiring criteria have shifted. With AI leveling the playing field on basic skills, they now value "taste" and "initiative" over experience. For insurance, this is a wake-up call. Insurers have long hired for actuarial expertise or claims handling experience. But in an AI-driven world, they need people who can see the bigger picture, who ask the right questions, and who are willing to experiment.

That might mean hiring fewer "traditional" insurance professionals and more people with a blend of tech savvy and customer empathy. The bar for entry should be a demonstration of problem-solving, not just a resume.

Marketing in the AI Era: Split Responsibilities

Notion split its marketing department into two: one focused on storytelling and community, the other on sales enablement. For insurers, this is a crucial lesson. Traditional marketing—broad campaigns, generic messaging—won't cut it. Instead, they need to build trust through educational content and community engagement, while also equipping sales teams with the tools to close deals.

This is especially important in insurance, where trust is everything. AI can help personalize communication, but the human element remains critical. The marketing function must reflect that.

The Path Forward: Embrace Uncertainty, Rethink Everything

Notion's story is a reminder that AI isn't just about cost-cutting. It's about fundamentally changing how work gets done. For insurers, this means being willing to question every assumption: Why do we have this product? Why this process? Why this org chart?

It won't be easy. But as Notion shows, the companies that thrive are those that are willing to rebuild themselves, even when they're already successful. The future of insurance belongs to those who can adapt.