Intelligent Document Processing
Get the data out of the PDFs.
What is Intelligent Document Processing?
Invoices, statements, contracts, forms. Someone in your organisation is retyping them into a system right now.
IDP reads those documents and extracts the fields you need with a confidence score attached, so the clean ones flow through and only the doubtful ones reach a human. That last part is what makes it work. Extraction that's 95% accurate sounds excellent until you ask which 5% went through unchecked.
We built this into AuditGanit for Indian CA firms, where the documents are unforgiving and a wrong figure has real consequences. The same approach applies to any high-volume document flow.
Services provided
What the data says
"95% accurate" is meaningless without knowing what happens to the other 5%. Routing beats raw accuracy.
Documents are never as standard as the sample pack suggests. Budget for the messy ones. They're the whole job.
Related reading
- Operations
Intelligent Document Processing: What Modern IDP Actually Does
How intelligent document processing extracts, validates and posts document data with AI, sends only uncertain items to people, and where to start.
- Technology & AI
Building a Data Strategy That Actually Works: Five Principles
Five principles for building a data strategy that actually works, what generative AI changes, and a 90-day plan that starts from business decisions.
- Technology & AI
AI-Ready Data: What It Actually Takes
What AI-ready data means in practice: ownership, fit-for-purpose quality, permissions, unstructured content, lineage and privacy, one use case at a time.
Where Ganexa stands out
Confidence scoring and routing come first, not in a later phase. Extraction without routing just moves the error somewhere quieter.
You can watch it working in AuditGanit rather than in a slide deck.
Every figure traces back to the page it came from, which matters when someone queries it a year later.
Your engagement roadmap
Bring the ugly ones
1 weekWe want your worst documents, not your neatest samples. The exceptions decide whether this works.
An honest accuracy baseline.
Build and route
3–5 weeksExtraction, confidence thresholds, and the routing rule that decides what a human sees.
A working pipeline with review built in.
Tune the threshold
2 weeksRun it on live volume and move the threshold until the review load and the error rate are both tolerable.
A tuned pipeline and a measured error rate.
Built for where you are
Finance and AP teams
"Two people spend their week typing invoices into the ledger."
We extract the fields, pass through what's clearly right, and send only the doubtful ones for review.
The typing stops. The checking stays, where it matters.
Accountancy practices
"Client documents arrive in every format imaginable and every figure has to be right."
This is what we built into AuditGanit: extraction with confidence, human approval, and a trail back to the source.
Faster processing without gambling on a figure.
What you walk away with
Extraction pipeline
Tuned on your real documents, including the ugly ones.
Confidence routing
Clean documents flow through; doubtful ones reach a person automatically.
Review queue
Somewhere for a human to resolve exceptions quickly.
Traceability
Every extracted value links back to the page and position it came from.
Measured error rate
What it actually gets wrong, on your documents, in writing.
Ready to put Intelligent Document Processing to work?
Book a free 30-minute discovery call, you'll leave with a clear, costed next step, no obligation. Or ask us anything: we reply within one business day.
Questions we get asked about Intelligent Document Processing
Which documents can it handle?
Invoices, statements, contracts and forms, including the messy ones. We tune extraction on your worst documents rather than neat samples, because the exceptions decide whether it works.
How accurate is the extraction?
Every extracted field carries a confidence score. Clean documents flow straight through and doubtful ones are routed to a person automatically, so nothing goes through unchecked.
How long does it take to go live?
Around six to eight weeks: a week to establish an accuracy baseline, three to five weeks to build extraction and routing, and two weeks tuning the threshold on live volume.
Can we trace a figure back to its source?
Yes. Every extracted value links back to the page and position it came from, which matters when someone queries it a year later.