Our workshop: see the risk on claims like yours.
Learn, build, and experiment together, so your claims team sees how AI finds the risk in claims like theirs. No data access, no security review, no IT project.
What we cover
- Where risk hides in the claim file, and how AI reads it
- Synthetic claims shaped by your team: your lines, states, documents, and plaintiff firms
- Isomer on those claims, flagging the risk with the page it came from
- What catching it in time is worth on your book
You leave with
- A team that has seen it work on claims like theirs
- A business case for your book, to prove in a pilot
- A pilot plan for your own claims
Start the conversation
Tell us where to reach you
We’ll set up a short call about the workshop, or a walkthrough if you’d like to see Isomer first.
Prefer email? Write to sean@isomer.ai.
Customers and partners
After the workshop, a pilot on your claims.
The paid pilot runs Isomer on your own claims, in shadow mode, and proves the business case on your actuals. These are the assumptions it replaces.
| Input | How we measure it | Our starting assumption |
|---|---|---|
| Caught in time today | Closed litigated claims, 12 to 24 months back: when the warning arrived against when you acted | 50% assumed |
| Caught in time with Isomer | The same claims run through Isomer: what it would have flagged, and how many days earlier | 70% assumed |
| What in time is worth | Suit rate, defense cost, and settlements for claims caught in time against claims caught late | 20%, 15%, 7.5% assumed |
| Reserve lag | From your reserve history: days from the first warning to the reserve change | Not assumed |
Your data stays with you.
The workshop needs none of it. The pilot runs read-only, in a dedicated tenant or inside your own Azure tenant.
SOC 2 Type IIHIPAAISO 27001 in progressNo training on your dataYou set what runs without approval