Every business drowns in documents - contracts, statements, invoices, loan agreements, you name it. Collecting them is easy – “just send it as an attachment”. The real money pit starts after: scanning, classifying, extracting key info, and turning a chaotic pile into organised and searchable storage. That’s where budgets vanish and people quit.

The reality: 6,000,000 pages in mixed-quality PDFs with upside-down scans, handwriting, stitched bundles, and unpredictable layouts.

The challenge: accurate OCR, reliable classification, validated extraction, and audit-ready search.

In this session, we’ll show how an agentic solution - built on Foundry Agent Service - and the team of helpers: Azure Functions, Logic Apps, Document Intelligence, and Azure AI Search - transforms messy inbound files into structured, searchable, and actionable knowledge that drives faster decisions and better compliance.

Agent lineup:

- Intake & Triage Agent: performs OCR, detects doc sets, splits bundles, fixes rotation, tags, and routes using Document Intelligence / Foundry tools.
- Extraction Agent: pulls entities and key fields (people, orgs, dates, terms) and normalises to your schema.
- Validation & Rules Agent: checks completeness, flags missing artefacts, applies policy, and kicks off follow-ups.
- Search & Knowledge Agent: indexes content for semantic and agentic retrieval in Azure AI Search.

Low-confidence pages don’t block the pipeline. The agents route exceptions to a review queue (human-in-the-loop), capture corrections, and re-run extraction with the updated signal so the system gets cleaner over time.

Result: documents classified, organised, verified, and available in seconds, not hours. Bring Copilot family to the party, if you wish.