AI agent governance for insurance.
Claims automation moves money and touches sensitive policyholder data. HiveKey caps what an agent can approve or pay, scopes what it can reach, and records every decision so you can answer for it.
You're automating claims triage, payouts, or underwriting support — and you need ceilings on what an agent can approve without a human in the loop.
What an agent can reach here.
Payouts
Claim approvals and disbursements an agent can trigger directly.
Policyholder data
PII and claims history an agent can read or share.
Decision records
Why a claim was approved, denied, or escalated — and by which agent.
A verdict on every action, before it runs.
Each call an agent makes gets decided in the path — allowed, blocked, or held for a human — and written to one trail.
claim_approve $18,000 approve Over the auto-approve ceiling — held for an adjuster.
claim_approve $240 (under ceiling) allow Within policy — approved and logged.
policy_export → third-party tool block Unapproved egress of policyholder data is blocked.
One policy, applied to every agent.
Approval ceilings
Set the line where an agent stops and an adjuster takes over. Above it, the claim is held — never auto-cleared.
Scope to the task
Triage agents read; they don't disburse. Grant exactly what each role needs and nothing more.
A decision trail
Every approval, denial, and escalation on one attributable record you can review and reconcile.
The conversation we keep hearing.
What's the largest claim the agent can approve on its own?
Where did this policyholder's data go?
We need to show every automated decision was within policy.
Evidence for the audits you already face.
HiveKey produces the access, enforcement, and audit evidence these frameworks expect for AI agents. Not legal advice — a head start on the controls.
Put every agent your insurance team runs under one policy.
See HiveKey scope, guard, and block a live action on your own agents — 30 minutes, no slides.