Insurance doesn’t need more AI tools. It needs an AI system that understands insurance — the documents, the workflows, the exceptions, and the way teams actually operate. That’s what we’re building at FurtherAI.

In a recent conversation with The Insurer, our CEO Aman Gour shared how we think about the space and why our approach is different.

One Platform Instead of Point Solutions

Teams today choose between general-purpose models that require heavy engineering or point solutions that add more silos.

FurtherAI sits in the middle: a single AI workspace that can automate many insurance workflows, pause for human review, and fit directly into existing systems. Most partners start with one workflow and expand from there.

Reducing Risk for Partners

Our sales approach is simple:

free POCs, one-year contracts, and a two-month opt-out.

We take on most of the early risk so partners can adopt AI without long-term commitments or operational disruption.

Why We Raised Early

We raised our Series A with a16z sooner than planned after a partner asked how we’d ensure long-term stability. The capital wasn’t about runway — it was about giving customers confidence and scaling engineering and delivery.

Our View on Defensibility and Data

As base models improve, our workflows get better. The moat is in the workflow engine, guardrails, and integrations — not the underlying model.

And our data stance is strict: we do not train on customer data. All inputs and outputs belong to the customer.

Where We’re Focused

We’re optimizing for depth, not volume: around 100 strong partners, each automating multiple workflows. The goal is long-term relationships, not one-off deployments.

We’ve come a long way since our first ITC, but the principles remain the same: execute, reduce risk for partners, and build the AI layer that insurance runs on.