Process Claims in Seconds, Not Days
Sift extracts policy numbers, incident details, and damage estimates from claimant messages instantly. Reduce first-notice-of-loss handling time by 80%.
80%
FNOL processing time reduction
96%
Data extraction accuracy
62%
Fewer follow-up calls needed per claim
The intake problem in insurance
- Claimants describe incidents in emotional, unstructured narratives that adjusters must decode
- Policy numbers and claim references are buried in attachments, subject lines, or mid-sentence
- First Notice of Loss forms require 20+ fields that claimants rarely fill in completely
- Duplicate claims slip through when names and dates are entered inconsistently
See how Sift handles insurance intake
What users type
What you get
Mark Janssen
HO-7832910-IL
Home
Last Thursday (~2025-03-27)
445 Birch Lane, Naperville, IL 60540
Garage roof collapsed from fallen tree; 2022 Honda CR-V crushed; chest freezer and contents lost
Tom Brennan, Naperville office
Recommended form fields for insurance
Recommended Form Fields
Matches the claim to the policyholder record
Instant lookup against your policy admin system
Routes to the correct adjusting team (auto, home, commercial)
Validates coverage period and triggers timely-filing checks
Cross-references weather data and validates property address
Sets initial reserve and determines authority level required
Triggers bodily injury protocols and liability review
Gives the adjuster the full narrative without a phone call
Frequently asked questions
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Start extracting data — freeRelated
Templates
Use Cases
Sift analyses free-text support tickets in real time, extracts priority, category, and sentiment, and routes them to the correct team instantly.
Client IntakeSift transforms free-text client intake submissions into structured profiles with goals, requirements, and red flags extracted automatically.
Complaint HandlingSift analyses customer complaints to extract the core issue, severity, desired resolution, and emotional tone so your team can respond with precision and empathy.