Our Work

Challenge

A large health insurance provider needed to dramatically accelerate their claims processing pipeline. Manual reading, translation, and ICD/CPT code mapping was a bottleneck creating delays and errors at scale.

Solution

Built a multi-agent system where specialised agents handled distinct stages of the pipeline: document ingestion and OCR, medical terminology translation across languages, diagnostic code extraction, and claims mapping against policy rules. Agents coordinated via a lightweight orchestration layer, enabling parallel processing of thousands of claims.

Key Outcomes

• ✓ End-to-end claims pipeline reduced from days to minutes
• ✓ Multi-language support handled natively within the pipeline
• ✓ Audit trail and explainability built in at each agent step
• ✓ Designed for compliance with healthcare data regulations

Challenge

A specialist equipment company needed engineers in the field to quickly query thousands of diagnostic manuals, schematics, and technical bulletins — without internet access and without leaking proprietary documents to external cloud services.

Solution

Designed and built an offline-first RAG (Retrieval-Augmented Generation) system running entirely on the local network. Document ingestion, embedding, and vector search all operated on-premises. A lightweight chat interface let engineers ask natural language questions and get precise, sourced answers from the internal document corpus.

Key Outcomes

• ✓ Zero data leaves the local network — fully air-gapped capable
• ✓ Sub-second retrieval across thousands of technical documents
• ✓ Engineers reduced diagnostic research time by over 70%
• ✓ No dependency on external LLM APIs or cloud infrastructure

Challenge

A critical business application, untouched for 20 years, was built on deprecated technology, undocumented, and becoming a serious operational liability. A traditional rewrite was quoted at 12–18 months by external vendors.

Solution

Deployed AI agents to analyse, document, and systematically rewrite the legacy codebase. Agents reverse-engineered business logic from the existing code, generated test coverage, and produced modern equivalents module by module. Human review gates ensured correctness at each stage. The AI-augmented approach compressed a multi-year effort into weeks.

Key Outcomes

• ✓ Full rewrite delivered in weeks, not years
• ✓ Auto-generated documentation of previously undocumented business logic
• ✓ Modern stack with test coverage and maintainability
• ✓ Fraction of the cost of a traditional vendor engagement