Case studies
Outcomes, architecture and ROI — not just pilots
Programmes delivered for health insurance and banking, documented at the level a risk committee will accept.
Flagship
Explainable Claims Decision Copilot
Challenge
- Manual claims review across large document packs
- Inconsistent decisions between reviewers
- No defensible rationale trail for audits
Solution
- GenAI + RAG over policy wordings and clinical guidelines
- Agentic workflow for validation, deduction and query drafting
- Vector database with version-aware retrieval
Results
- ~60% reduction in review effort per claim
- Turnaround time cut from days to hours
- 100% of recommendations traced to cited clauses
Architecture
Reference pipeline
- 01Claim intake
- 02Document OCR
- 03Chunk + embed
- 04Vector retrieval
- 05Policy reasoning agent
- 06Explainability layer
- 07Audit log
Screenshot — reviewer view
Side-by-side claim pack and recommendation, with clause highlights and confidence.
Screenshot — audit view
Full prompt, retrieval and decision log exportable per claim.
ROI estimate
For 100k claims/year at 18 minutes average review: ~18,000 hours saved annually.
Banking
Multi-agent fraud investigation platform
CrewAI-based agent crew for triage, evidence gathering and investigator handoff.
Challenge
- Alert overload
- Manual evidence collation
- Low true-positive rate
Solution
- Specialised agent roles
- Automated evidence packs
- Explainable risk drivers
Results
- Faster triage cycle
- Higher investigator throughput
- Consistent case documentation
Programme
AI Transformation Accelerator outcomes
Health insurer
- 3 use cases prioritised in 3 weeks
- MVP live in day 62
- Rollout roadmap approved
TPA
- Straight-through rate lifted
- Query letters auto-drafted
- QC sampling automated
Bank
- Document intelligence MVP
- Model governance pack delivered
- Scale plan for 4 regions
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