AI-driven extraction pulls structured data out of unstructured documents — invoices, contracts, forms, correspondence — so information can be used in systems rather than read one page at a time. It works well on prepared, consistent material and poorly on a mess, which is why we handle structure first.
Who this is for
Teams processing repetitive documents at volume where the data inside them needs to reach a CRM, case system or reporting layer — banks, insurers, non-bank financial firms and any operation where staff currently retype what a document already says.
What the work involves
- Document analysis — establishing which document types are consistent enough to automate.
- Field mapping — defining exactly what gets extracted and where it goes.
- Validation rules — catching low-confidence extractions before they reach a live system.
- Human review thresholds — deciding what a person still needs to check.
- Accuracy measurement — a reported figure, not an assurance.
Why it matters
Extraction is the point where document management stops being a filing exercise and starts feeding the rest of the business. But it only holds up with validation and measured accuracy — automating an error simply produces errors faster. See our AI services overview for how this fits the wider picture.
Talk to us about your requirements — we will scope it honestly, including whether it is worth doing at your volume.