We're building the way cases get worked.
Hendl exists because the most consequential work in the economy — claims, complaints, investigations, disputes — still runs on chasing, re-keying and after-the-fact write-ups. We think that ends this decade, and we intend to be the ones who end it.
Case management software has always been a filing cabinet.
Every system before this generation had the same job: record what humans did. The work itself — reading the documents, checking the cover, chasing the reply, watching the deadline — stayed manual, and the record was written up afterwards, if at all.
Agentic AI changes the physics. For the first time, software can do the coordination work — properly, with sources and reasoning — while people keep the decisions. But that only holds in regulated work if governance is the foundation: named approvers, pinned decision points, a record that writes itself.
That's the product we're building: not a filing cabinet with a chatbot, but a case engine where the work moves itself and every action is accounted for.
What we believe.
The chasing, checking, filing and waiting that fill a case aren’t judgement — they’re coordination. Machines should do that work, and people should make the calls.
Agents start by recommending and earn wider autonomy with evidence. Trust is built the same way you’d build it with a new colleague — gradually, and on the record.
In regulated work, an outcome you can’t evidence is a liability. Everything we build writes its own golden thread — sources, reasoning, approvals.
Case work is heavy; the tools shouldn’t be. We sweat the craft because the people doing this work deserve better than beige enterprise software.
How we work.
More about the team soon.We build with claims handlers, caseworkers and lawyers in the room — the product is shaped by the work, not by demos.
Audit, gates and permissions are the foundation, not features bolted on for the enterprise tier.
Every deployment starts narrow and earns its way to scale — we hold ourselves to the same dial we give agents.
A deliberately small team of people who’ve built regulated systems before — low ceremony, high trust.