Document Intelligence
Manual document processing is slow, error-prone and expensive. High volumes of invoices, forms and contracts create backlogs that delay operations and strain teams.
Automate extraction, classification, validation and routing of information from invoices, contracts, forms, claims and other business documents — reducing manual processing time and improving data accuracy.
What Document Intelligence does
Document Intelligence uses AI to read structured and unstructured documents, extract key fields, validate against business rules, flag exceptions and route outputs to the appropriate systems or teams for action.
Example use cases
Concrete workflows showing how document intelligence can be applied to real business processes.
Invoice & Receipt Processing
- Trigger
- Invoice received by email, upload or EDI.
- AI action
- Extracts vendor, amount, line items, PO reference and due date.
- System action
- Validates against PO; routes to approval; posts to accounting.
- Human escalation
- Discrepancies flagged to finance team for manual review.
Contract Data Extraction
- Trigger
- Contract submitted for processing.
- AI action
- Extracts parties, dates, obligations, payment terms and key clauses.
- System action
- Populates contract management system.
- Human escalation
- Non-standard clauses flagged for legal review.
Application Form Processing
- Trigger
- Customer or employee submits an application form.
- AI action
- Extracts fields, validates completeness and cross-references data.
- System action
- Creates record in CRM or HR system.
- Human escalation
- Incomplete or inconsistent applications routed for human review.
Claims Document Processing
- Trigger
- Insurance or reimbursement claim received.
- AI action
- Extracts claim details, validates supporting documents.
- System action
- Creates claim record; triggers adjudication workflow.
- Human escalation
- Complex or high-value claims escalated to reviewers.
Integration examples
These are common platform categories and examples. We assess your specific systems during the discovery phase. We do not imply certified partnerships.
Controls & governance
- Validation rules
- Exception routing
- Human review queue
- Audit trail
- Data quality monitoring
KPIs to track
- Extraction accuracy
- Processing time per document
- Exception rate
- Straight-through processing rate
- Cost per document
Frequently asked questions
- PDF, Word, Excel, images (JPEG, PNG, TIFF), email attachments and scanned documents. We assess quality requirements during scoping.
- Accuracy depends on document quality and field complexity. We define accuracy targets and measure against them in the pilot.
- Yes, with appropriate OCR and handwriting recognition models. Accuracy for handwritten content is assessed per document type.
- We implement PII controls, field-level encryption and role-based access. Data handling is designed to your security requirements.
Ready to explore Document Intelligence?
Book an AI Discovery Call to discuss your specific processes, integration requirements and expected outcomes.