Scottish Courts · Public sector and justice
Agentic Document Extraction
Delivery context
Personally delivered by Raga AI founder Usman Bukhari through Usman Bukhari Ltd before establishing RAGA AI LTD.
- Sector
- Public sector and justice
Case documentation arrives across 50 courts in inconsistent formats, with no shared template and no structured data behind it.
Business challenge
Template-based extraction breaks the moment a court formats a document differently, and per-court customisation does not scale to 50 sites.
What was delivered
- Multi-stage agent pipeline: classify, locate, extract, verify — each stage a narrow decision passing structured state to the next
- Layout-aware document intelligence that reads structure and context rather than pattern-matching fixed templates
- Structured output validation so unusual documents fail visibly at one stage instead of silently producing wrong data
- One pipeline generalising across all 50 courts with no per-court configuration
Technical implementation
Technology stack
- Azure AI Foundry
- Agentic pipeline
- Document Intelligence
Related service: AI implementation services
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