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honestAI

Insurance · AI agent workflow

AI agents for insurance case intake.

HonestAI connects AI assistants to your Policy admin and Claims system so an agent can turn inbound requests into complete, routed cases — with your rules enforced and your people deciding exceptions.

The problem

Cases arrive incomplete through many channels, and staff spend time triaging instead of resolving.

Example in insurance (illustrative)

An agent submits a policy change; the agent opens the service case with details.

What the agent does

  1. 01Collect the required fields for the case type
  2. 02Check for duplicates and related cases
  3. 03Create the case with a priority
  4. 04Route to the right team

Controls

AI executes. Your people decide.

Licensed adjusters and underwriters own coverage, pricing and payment decisions.

Checks before every action

  • Required fields complete
  • Sensitive data handled per policy
  • Priority rules documented and auditable

What people own

Caseworkers own the case decision; supervisors adjust routing.

Systems we connect

Policy admin · Claims system · Rating engine · Document store

What we measure

  • Cases complete at intake
  • Time to assignment
  • Misrouted cases
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Questions

Case Intake in insurance: quick answers

Can an AI agent handle case intake in insurance?
Yes, for the routine, rule-based part. The agent works through governed connectors to systems such as Policy admin and Claims system. Caseworkers own the case decision; supervisors adjust routing.
How is it controlled?
Licensed adjusters and underwriters own coverage, pricing and payment decisions. Every action is logged with an audit trail, and writes are idempotent so a repeated request never duplicates.
How fast can we start?
Most teams start with a 5-day integration sprint on one workflow, one system and one AI assistant or channel.

See the AI Agent Integration service or the Insurance industry page. Prefer email? Write to us.

What work should AI take off your team?