Document & Data Intelligence

The Reading Work Between Your Systems, Done by Agents

Between every two systems in your business sits a person reading: invoices read and keyed into accounting, contracts read and summarised into the CRM, applications read and checked against policy, supplier confirmations read and reconciled against orders. Document intelligence agents take over that reading layer. Any format in — PDF, scan, email body, spreadsheet, photo of a delivery note — structured, validated data out, filed into the systems you already run, with every extracted value traceable back to the exact place in the source document it came from.

Validation Is Where the Judgement Lives

Extraction is the easy half. The value is in what happens next: the agent checks totals against line items, matches invoices to purchase orders, flags the supplier whose bank details quietly changed, and notices the contract clause that deviates from your standard terms. Deterministic rules catch the violations you can specify; the agent's reasoning catches the anomalies you cannot — the ones a careful human would squint at. Clean documents flow straight through; only genuine exceptions reach your team, queued with the agent's reasoning attached.

How We Build It

1. Document census: we inventory what your team reads and keys today — types, volumes, sources, and the downstream systems each feeds.
2. Extraction and validation design: field schemas, matching logic, tolerance thresholds, and the exception boundary are defined with the people who do the work now.
3. Build against your real backlog: the agent is tested on months of your actual documents — including the ugly scans — before it touches live flow.
4. Supervised go-live: extractions run with human review until the accuracy record justifies straight-through processing, category by category.

When You Need This

If someone on your team spends part of every day retyping information that already exists in a document; if month-end means a reconciliation crunch; if errors surface downstream weeks after the document that caused them was processed — this is the layer to automate. If your document volume is a dozen a month, the honest answer is that a person is still the right tool, and we will tell you exactly where the volume threshold sits for your cost structure.

Built to Be Audited

Every extraction, match, and exception decision is logged with its source reference — which means your auditors, and ours, can trace any number in your books back to the document line it came from. We agree accuracy targets with you upfront, measure them on your real documents rather than benchmark sets, and report against them for as long as the agent runs. Accountability is architectural here, not contractual.