Process insurance claims in seconds instead of days of manual review

Sift extracts incident details, policy data, damage assessments, and supporting evidence from free-text insurance claims to accelerate processing and reduce errors.

The problem

Claims adjusters manually review long-form incident descriptions, cross-reference policy details, and key data into multiple systems. Processing takes days, errors slip through, and claimants grow frustrated with delays.

The solution

Sift reads the claimant's incident description, extracts the event type, date, location, damage details, involved parties, and claimed amount. Adjusters receive a structured claim summary ready for review and approval.

See the extraction

What users type

On March 15th, a pipe burst in our upstairs bathroom while we were at work. When we got home around 6pm the ceiling in the kitchen below had collapsed and there was extensive water damage to the flooring and cabinets. Policy number is HO-2847193. We've had a plumber quote £3,200 for repairs and a builder quoted £8,500 for the ceiling and kitchen. We have photos and the plumber's report.

What you get

Incident Type

Water damage — burst pipe

98%
Date of Loss

March 15th

99%
Policy Number

HO-2847193

100%
Total Claimed

£11,700 (plumbing £3,200 + structural £8,500)

96%
Supporting Evidence

Photos + plumber's report (referenced)

93%

Why teams switch to Sift

Faster claims processing

Structured extraction cuts the initial review from hours to seconds, letting adjusters focus on decision-making.

Reduced data-entry errors

Automated extraction eliminates transposition mistakes on policy numbers, dates, and monetary amounts.

Fraud signal detection

Inconsistencies in dates, amounts, or descriptions are flagged automatically for further investigation.

Better claimant experience

Claimants describe the incident once in plain language instead of navigating complex claim forms.

The numbers

5x faster

Processing speed

Initial claim intake and structuring completes in seconds versus hours of manual review.

Down 85%

Data-entry errors

Automated extraction of policy numbers, dates, and amounts eliminates manual transposition errors.

3x more

Claims handled per adjuster

Structured intake means adjusters spend time on decisions, not paperwork.

Recommended fields

Recommended Form Fields

Policy numbertext
Describe what happenedtextarea
When did this occur?date
Your full nametext
Email addressemail

Frequently asked questions

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