Today we're launching FurtherAI Builder Agent: a new way for insurance operators to turn their expertise into agentic  workflows. Describe what the workflow should do the way you'd explain it to a new team member, and Builder Agent assembles it in front of you, ready to move into production.

Builder Agent runs on top of FurtherAI, so every workflow built inside it inherits the reliability, explainability, and traceability the industry depends on.

We built it because our customers asked for it. The people closest to the work (underwriters, claims professionals, program managers) know the rules and edge cases that make each workflow specific to how their team runs. With Builder Agent, they can shape the AI that touches their daily work. 

The workflow expert becomes the workflow builder

Builder Agent lets insurance operators turn their expertise into agentic workflows without ever writing code. Describe what the workflow should do in plain, and Builder Agent assembles a working sequence of steps in real time.

Because Builder Agent is built on top of FurtherAI's insurance-specific infrastructure, it understands the concepts insurance operators actually work with: submissions, endorsements, loss runs, SOVs, and program guidelines. The operator simply provides the insurance knowledge, and Builder Agent handles the building.

The workflow ends up reflecting the way the team actually works, because the person who knows how the work runs is the person who built it.

Trust is engineered into every step, from assembly through production

A workflow built by someone outside engineering has to earn the same trust as a workflow shipped from engineering. Builder Agent is designed for that from the start.

Every step of the assembled workflow is visible as it's built. You can inspect what each step will do and change the logic where it needs to reflect a specific rule your team runs by, all before anything hits production.

Once the workflow is ready, it goes through Eval Studio, where teams can test the workflow against real submissions from their own pipeline before it ships. Nothing goes into production until it has been evaluated against the data it will actually see.

And every workflow that does ship flows through the approval chain the organization already trusts, with every step auditable end-to-end. The people closest to the work can move fast, and the controls that keep the operation accountable stay firmly in place.

Governance in the platform layer unlocks enterprise scale

As many insurance leaders have pointed out, scaling AI in an enterprise requires a governance framework where the checks and balances can be controlled at the organizational level. Builder Agent lives inside that framework.

The guardrails sit at the platform level, so insurance teams can expand who builds workflows without expanding who can push things to production unchecked. For example, the underwriter who knows the appetite of a specialty program can now shape the workflow that triages submissions against it. As a result, workflows move from idea to production dramatically faster than they used to at enterprise scale, with the oversight the business needs to trust the outcome.

Builder Agent is now available to FurtherAI customers. If you want to see Builder Agent running against your own workflows, get in touch.

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