Automated Decision-Making Technology
Insure your AI agents.
Your AI agents already make decisions that cost money when they're wrong — refunds, approvals, claims, payments. We measure what those mistakes cost, turn your controls into evidence, and get you underwriting-ready — so you can raise autonomy, not cap it.
WHAT WE MEASURE
Built for the agents that make dollar decisions.
Where a decision moves money and a system of record eventually confirms or reverses it, we can measure the loss — and make it insurable.
AP & invoice approval
Duplicates, overpays, fraud — caught by the ERP. Ground truth: credit memos.
Refunds & returns
Over-concession and return fraud. Ground truth: chargebacks, reversals, reopened tickets.
Chargebacks & disputes
Wrongful denials become disputes. Ground truth: the card network's typed events.
Claims adjudication
Over- and under-payment. Ground truth: audits, appeals, recoveries.
Lending & credit
Approvals that default. Ground truth: delinquency and realized loss.
Collections
Recovery decisions with a measurable dollar outcome.
Built for teams running autonomous agents
HOW IT WORKS
Measure the loss. Prove control. Get insured.
1 · Measure
We instrument your agents' consequential decisions and measure the real error rate and dollar loss against ground truth — chargebacks, credit memos, reversals — not a quality-proxy score. Powered by open-source agentloss.
2 · Qualify
Exposure, frequency, severity, and loss ratio become an underwriting-ready record — and your existing controls (ISO 42001, NIST AI RMF, ADMT risk assessments) become the evidence that shortens underwriting.
3 · Bind
That record is what an underwriter needs to cover your agents — parametric policies pay out on measured error. Raise autonomy instead of capping it.
WHY IT'S A GROWTH LEVER
The ROI of an AI agent is autonomy. Insurance is how you unlock it.
You deployed agents to take humans out of the loop — unpriced risk is the only reason they're still there. Insurance transfers that downside, so you can raise autonomy and capture the full return, not a throttled fraction of it.
Capture the upside
Go from a human in every loop to autonomous — lower cost per decision, more volume, faster resolution. That's where the ROI actually is.
Cap the downside
Transfer the financial tail of a wrong decision to an insurer — a mistake becomes a bounded claim, not an unbounded crisis on your balance sheet.
Win customer trust
“Our AI's decisions are insured” is a warranty customers can bank on — it de-risks adoption and closes deals.
THE DIFFERENCE
Eval tools score quality. Governance tools document. We measure the loss — and make you insurable.
Elsewhere
- A quality score or a compliance checklist
- Cap autonomy — keep a human in every loop
- No dollar loss, no path to coverage
With us
- Real error rate + dollar loss vs. ground truth
- Raise autonomy — measure the downside, insure it
- The underwriting-ready record an insurer needs
COMMON QUESTIONS
Before you ask.
How do I make my AI agent insurable?
An insurer prices exposure, frequency, and severity. We measure your agents' real error rate and realized dollar loss against ground truth, then render the underwriting-ready record — loss ratio and a pass/fail qualification — so you know exactly what to fix to get covered.
What does an underwriter need to cover my AI agent?
A record of your agents' decisions joined to real outcomes and realized loss — exposure, frequency, severity, loss ratio — plus evidence of control. It's the submission insureds can't normally produce; we generate it from your systems of record.
Are we liable for what our AI agent decides?
Yes — increasingly so. The UK CMA ruled (Mar 2026) that businesses own an AI agent's actions as if a human made them, even a third-party agent. ADMT regulations (CPRA §7150-7155, Colorado AI Act, EU AI Act) treat automated decisions as your responsibility. Insuring the agent is how you transfer that downside.
How do I measure what my AI agent's mistakes cost?
Instrument the consequential action — the tool call that moves money — and join it to the real outcome (a chargeback, credit memo, reversal, or reopened ticket). We report realized and expected dollar loss, not a quality-proxy score. Powered by open-source agentloss.
How is this different from AI eval or governance tools?
Eval tools score quality proxies (hallucination rate, task completion). Governance tools document compliance and push you to cap autonomy. We measure the dollar loss of your agents' decisions and turn it into the record that makes them insurable — so you can raise autonomy, not cap it.
Do you sell the insurance policy?
Not yet — we produce the measured loss record and assessment an underwriter needs, and a carrier binds the coverage. We're the neutral sensor and bureau both sides rely on. Measure → qualify → bind.
GET STARTED
See what your agents cost — and get them insured.
AP · Refunds · Chargebacks · Claims · Lending · Collections