Voice AI for claims intake
A voice agent takes the loss notice and opens the claim in the system.
Loss notices pile up at the call centre; wait times grow while agents fill forms with the customer on the line. On storm days capacity runs out.
- 01Calls land on the voice agent through SIP; streaming speech recognition works without lag.
- 02Policy, location, date, parties and loss type are extracted and confirmed within the conversation.
- 03The claim is opened in the policy system and adjuster assignment triggers by rule.
- 04Sensitive data is masked; suspicious patterns are flagged to the fraud team.
- Call-centre load drops and wait times fall
- Hundreds of simultaneous conversations at consistent quality
- Claims opened at first contact with complete information
This solution in the agent library
Voice claims intake (FNOL)
The customer calls and describes it; policy found by plate, cover checked, claim opened and adjuster assigned.
Motor claim photo assessment
Damage detected from photos, estimate built from parts and labour, adjuster only approves; repair slot booked.
Voice banking money transfer
Customer calls and talks; voiceprint, security question and OTP verify them; transfer completes agent-free.
Outage report handling
Reports are clustered by feeder, one OSS ticket is raised and everyone affected hears before the crew leaves.
Time to move from experimenting with AI to transforming with it.
In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.
- Your 2–3 priority problems
- Live demo of a similar scenario
- Roadmap starting with value analysis