Insurance
Claims intake and policy administration are document-heavy and slow to triage.
Ranges reflect typical outcomes across past engagements — we validate real numbers for your business on the strategy call.
Where insurance teams lose the most time.
Claims intake and policy administration are document-heavy and slow to triage.
Claims documents reviewed and triaged entirely by hand
Policy administration slowed by manual data entry
Fraud patterns caught late, after payout in some cases
What we build for insurance teams.
- AI claims triage and routing
- Document extraction from claim forms
- Fraud pattern flagging
The work that quietly eats the week.
These are the patterns we see most often in this sector. If two or more sound familiar, there's usually a straightforward case for automating them.
Claims triage
Every claim is read and sorted manually before anyone can begin work.
Document-heavy intake
Forms, photos and reports are reviewed and keyed in by hand.
Policy administration
Renewals, endorsements and updates involve repetitive data entry.
Late pattern detection
Unusual claims are noticed after payout rather than before.
Three workflows that usually pay for themselves fastest.
Not a full rebuild — the specific pieces that remove the most manual work for the least disruption.
Claims triage
A claim is submitted
Documents are read, key fields extracted, the claim classified and prioritised, and routed to the right adjuster with a summary
Adjusters spend time on judgement, not sorting
Document extraction
A claim document arrives
Structured data is pulled, validated against the policy record and attached to the claim
Data entry stops gating the process
Anomaly flagging
Claim data is processed
Outliers against historical patterns are flagged for human review — never auto-declined
Unusual cases surface earlier
Automated flags support human decisions; they don't replace them. Nothing is declined automatically.
See a real workflow in this space.
See client reviews, or explore the other industries we've shipped in.