AI for insurance
AI use cases your business could have tomorrow
- FA-031Finance and APLive in 45 days
Insurance policy and COI extraction
Extracts coverage limits, endorsements, expiration dates, and named insureds from policies and certificates of insurance
- FA-030Finance and APLive in 45 days
Legacy contract archive extraction
Extracts parties, terms, pricing, escalators, renewal dates, and termination clauses from thousands of scanned legacy contracts into a structured register
- CS-013Customer serviceLive in 45 days
Complaint clustering and theme detection
Clusters customer complaints and warranty narratives by semantic similarity to surface recurring themes without predefined codes
- EN-034EngineeringLive in 45 days
Handwritten shop record digitization
Extracts handwritten travelers, log sheets, and margin notes from scanned records into structured fields
- EX-029ExecutiveLive in 60 days
Cross-system reporting warehouse
Unifies ERP, MES, QMS, and CRM data into one warehouse feeding BI without a multi-year data project
- FA-032Finance and APLive in 60 days
Multi-system reconciliation layer
Connects ERP, general ledger (GL), banking, and subledger sources and reconciles them into an exception report instead of a spreadsheet
Case studies in financial services
What it changed, measured in the work itself.
Start with a 30-day blueprint
A forward-deployed engineer maps how your business runs and shows you where AI pays off. Flat cost, defined outcome.
More in financial services.
Investment banking- Deal file and pipeline hygiene
- Relationship history kept current
- Coverage reporting
Private equity- Portfolio company data diligence
- Board and lender reporting packs
- Portfolio-wide KPI extraction
Payments- Merchant and prospect enrichment
- Self-service reporting for commercial teams
- Competitor and market targeting