Document Processing & Data Extraction.
Invoices, contracts, reports, forms — unstructured documents go in, clean structured data comes out. Here's how we actually build the agent system that does it.
Six agents.
One job.
Each agent has one role and a clear handoff. No giant prompts trying to do everything — small, testable units that an orchestrator coordinates.
Validates format, deduplicates, classifies document type.
Pulls every field into a strict schema and confidence-scores each value.
Cross-checks fields against business rules. Flags anomalies before a human sees them.
Auto-approves, rejects, or routes to the right human based on your rules.
Posts data to the destination and archives the original with the correct naming.
Coordinates handoffs, retries on failure, logs every action for full auditability.
A €4,200 invoice
arrives at 09:14.
ACME Corp emails an invoice. Nobody opens the email. By 09:14:42 it's reconciled, filed, and waiting on Sarah's approval. Here's the trace.
What we need from you.
Real ones, not synthetic. Mix of clean cases and edge cases — that's where most of the engineering time goes.
Approval thresholds, vendor whitelist, what's auto-approve vs. human review. We turn these into testable rules.
Read access to where docs come from (inbox, drive) and write access to where data goes (CRM, accounting).
One human who can answer "is this edge case real or noise?" during the build. ~2 hours/week for 3 weeks.
From kick-off to live.
Map your current process, review samples, agree the rules and the schema.
Agents wired up, schema locked, end-to-end working on your real samples in a sandbox.
Run on live volume in shadow mode. Tune confidence thresholds and rules until you trust it.
Cut over. We monitor for the first two weeks. You own it from there — or we keep it on retainer.
Have docs piling up?
Book a free 30-minute scoping call. We'll look at your samples and give you an honest read on what's automatable, what isn't, and what it'd cost.