Document intelligence uses AI to read and extract structured data from invoices, forms, and business documents — reducing manual data entry and the errors that come with it.
Document intelligence applies AI to read documents — invoices, claim forms, application forms, receipts — and extract the specific data fields your business needs into a structured format. Rather than someone manually reading and typing data from each document, the system extracts it automatically and flags anything it's not confident about for human review.
Extract vendor, amount, line items, and dates from invoices automatically into your finance system.
Pull structured data from intake forms or applications without manual transcription.
Automatically flag documents that don't match expected formats or contain unclear data for human review.
We review a representative sample of your actual documents to understand format variation and complexity.
We configure extraction for your specific document types and the exact data fields you need.
We test extraction accuracy against a verified sample before any production use.
Low-confidence extractions are routed for human review rather than accepted automatically — protecting data accuracy.
Don't see your industry? The underlying approach applies broadly — talk to us about your specific operations.
Accuracy depends heavily on document quality and consistency. We test against your real documents before going live and tell you the measured accuracy rate honestly, rather than quoting a generic industry figure.
Anything below a defined confidence threshold is routed to human review rather than guessed at — this threshold is something we set together with you based on how the data will be used.
Handwriting recognition is generally less reliable than printed text. We'll assess your specific document types during the sampling phase and tell you honestly what accuracy to expect.
Book a free AI Readiness Assessment and we'll give you a realistic view of what document intelligence could do for your operations — and what it would take to implement.