AI claims intake agents that collect first-notice-of-loss details, gather evidence, route urgent cases, and prepare cleaner claim packets.
Common call types
- First notice of loss
- Policyholder updates
- Evidence collection
- Urgent claim routing
- Appointment scheduling
Relevant automations
- Claim intake
- Photo upload links
- Structured summaries
- Adjuster routing
- Status updates
Business outcomes to measure
- Collect cleaner claim details
- Reduce adjuster rework
- Handle after-hours claims
- Route urgent cases faster
Implementation approach
- Define claim-type question paths.
- Connect document storage and claims systems.
- Build escalation rules for urgent or sensitive events.
- Audit transcripts and intake completeness.
What it costs
Focused automations such as missed-call recovery typically cost $2,000 to $5,000 to build. A production AI receptionist with booking, CRM updates, and call transfers typically costs $5,000 to $15,000, plus monthly usage for calls and texts. Every quote is fixed-scope and in US dollars. See pricing details.
Operational metrics to review
- faster intake
- 58%
- complete claim packets
- 83%
- FNOL availability
- 24/7
- less adjuster rework
- 31%
Frequently asked questions
Can AI collect claim details?
Yes. It can ask structured questions and prepare a claim packet for review.
Can it make claim decisions?
No. It should support intake and routing, not make coverage decisions.
Can it collect photos?
Yes. SMS upload links can gather photos and attach them to the claim record.