Concept 01 · Professional servicesSample
AI knowledge platform
A secure assistant that answers staff questions from 40,000+ internal documents — with the source attached to every answer.
All work
Concept 03InsuranceSample concept — not a real client project
Claims intake automation
Claims arrive by email, get structured by an extraction model, and are routed to the right handler — with a person checking anything uncertain.
- INDUSTRY
- Insurance
- TECHNOLOGIES
- Python
- Document AI / OCR
- LLM extraction
- Workflow engine
- REST APIs
- Audit log
- TIMELINE
- 12 weeks
THE CHALLENGE
Handlers re-keyed details from emails, PDFs and photos into the claims system before any real assessment could begin. At peak times, first contact with the customer slipped to several days.
WHAT WE BUILT
An intake pipeline that reads each email and attachment, extracts the policy number, loss date and claim details, validates them against the policy system, and routes the claim. Anything below the confidence threshold goes to a review queue with the source highlighted, and every decision is logged for audit.
OUTCOMES
- 68% of claims created with no manual re-keying
- Email-to-assigned-handler time down from ~2 days to under an hour
- Every automated field traceable back to its source document
GALLERY
More work
Start a ProjectConcept 02 · LogisticsSample
Shipment visibility SaaS
A multi-tenant shipment-visibility platform where every customer gets an isolated workspace, their own users and roles, and API access.