Document Intelligence
Turn information trapped inside documents into structured, usable business data.
Employees may manually process large numbers of invoices, receipts, forms, contracts, applications and reports.
Important business information often arrives in documents rather than structured databases.
The Problem
Employees may manually process large numbers of:
- Invoices
- Receipts
- Forms
- Contracts
- Applications
- Reports
Why It Happens
Important business information often arrives in documents rather than structured databases.
Root Causes
- Manual data extraction
- Paper/PDF processes
- High document volume
- Inconsistent formats
- Disconnected systems
AI Opportunity
AI can potentially:
- Extract information
- Classify documents
- Summarize documents
- Identify specific fields
- Route documents
- Detect exceptions
Example Workflow
Invoice → Document processing → Extract: Supplier, Invoice number, Date, Amount → Validate → Accounting system → Human review if required
Data Required
The documents themselves plus the rules required to process them.
Integrations
Potentially:
- Accounting systems
- ERP
- CRM
- Databases
- Document storage
Human Involvement
Human review may be required for:
- Uncertain extraction
- High-value transactions
- Contract decisions
- Exceptions
- Compliance-sensitive cases
Potential Benefits
- Faster processing
- Reduced manual entry
- Better data accessibility
- Fewer repetitive tasks
Implementation
Understand documents → Define fields → Process → Validate → Integrate → Test → Launch
Measurement
Track:
- Processing time
- Extraction accuracy
- Error rate
- Number of documents processed
- Human review rate
Frequently Asked Questions
- What types of documents can be processed? Invoices, receipts, forms, contracts, applications, reports and many other document types.
- Is human review still needed? Yes, especially for complex cases, high-value transactions, or when the system is uncertain.
Turn your documents into structured, usable data.