It’s 9 a.m. on a Tuesday. A 300-page claims submission lands in your inbox. Your coffee goes cold as you settle in for the next three hours: reading, cross-referencing clauses and data to preserve the web of relationships, and hopping between dozens of screens typing, validating, and re-entering information. You send one piece off to one team and another to a third party vendor around the world. Box by box, field by field, system by system, data moves from one place to another. It’s necessary work. Important work. But it’s also crushing. 

By noon, you’re done. One submission down. Twelve more waiting.

This is the reality for hundreds of thousands of insurance professionals. This isn’t work that lacks purpose—ensuring accurate underwriting, processing claims correctly, managing policies is important—but the tools haven’t caught up to the complexity. The web of systems that we have built to manage this complexity grows faster than any team can scale.

It doesn’t have to be this way.

Imagine instead: that same submission arrives. You forward it to Pace. Then you get up. You walk down the hall to talk with your colleague about the weekend, about that tricky endorsement clause that keeps causing issues, about the new hire starting next week. 

Behind the scenes, Pace agents read your SOPs, reason over your documents, and operate across your back-office systems. Fifteen minutes later, you return to your desk. In your inbox: a complete review with a concise summary, each relevant detail cited, decisions and reasoning documented. A single button to confirm and submit.

You click it. Done.

This isn’t a demo. This is happening today, at some of the largest and most regulated insurers in the world, companies processing tens of thousands of tasks through Pace’s AI agents every month.

The decade of agents is here, as Andrei Karpathy predicted. But the gap between an impressive model demo and agents completing production work in regulated enterprises? That’s the chasm most companies can’t cross.

Pace is crossing it. They’re not just deploying models. They’re doing the hard, unglamorous work that actually matters: learning your standard operating procedures. Integrating with your core systems. Meeting accuracy and reliability SLAs. Auditing every decision. Implementing guardrails and permissions.

The founder, Jamie Cuffe, and his team have seen this problem firsthand. They understand both the pain (manual work at scale in highly regulated industries) and the path forward (end-to-end agent operating procedures, powered by reinforcement learning). More importantly, the entire team is obsessed with making it actually work, not just impressive in a slide deck.

What Pace is building isn’t just faster document processing or BPO. It’s a fundamental reimagining of how knowledge work happens. The transformation is already underway. Insurance is first, but this playbook works anywhere paperwork bogs down progress: financial services, healthcare, logistics. Any industry where regulations are complex, documents are lengthy, and precision matters.

We at Sequoia are thrilled to lead Pace’s Series A to partner with Jamie and the team. This is how work should feel: light, unburdened, free to focus on what truly matters.

The paperwork can take care of itself.