Context
Clients submitted invoices, receipts, and spreadsheets in dozens of formats.
Problem
Manual document processing limited scalability and delayed downstream analysis.
Constraints
Documents needed to be isolated per client and auditable for compliance.
Scope
Platform architect responsible for document ingestion and AI processing.
Strategy
Use AI to classify and extract documents while preserving traceability and confidence scoring.
Architecture
Built a document processing pipeline using Document AI, Firestore status tracking, and BigQuery analytics.
Impact
Reduced document processing time from hours to minutes.
Effects
Enabled near real-time spend and procurement insights.
Artifacts
Document classification workflow
Available upon request
Extraction confidence scoring model
Available upon request
Key Insights
AI adds the most value when it removes latency from decision-making loops.