Documents Routed Automatically
Invoices, contracts, reports, and forms arriving by email or upload no longer need a person to read, sort, and enter them. We build pipelines that use AI to extract the right data, classify documents by type, file them in the right place, and notify the right team.
Signs documents are slowing your team down
- Staff spend time reading incoming documents and manually entering data elsewhere
- Invoices, receipts, or forms get filed incorrectly or go unprocessed
- The same information is typed into multiple systems from the same source document
- Documents arrive in multiple formats — PDF, email body, scans, Word files
- Processing errors cause downstream problems in finance, ops, or compliance
- Volume is high enough that the manual process is a genuine bottleneck
- Documents are processed as soon as they arrive — no queue, no backlog
- Extracted data lands directly in your system of record without re-entry
- Documents are auto-filed in the correct folder with consistent naming
- The right team is notified the moment a relevant document is processed
- Errors are flagged for human review rather than silently passed through
- Processing volume scales without adding headcount
A full document intake pipeline
Multi-Source Intake
Documents are collected from email attachments, upload forms, shared drives, or direct API — all feeding into the same processing pipeline.
AI Data Extraction
Claude AI reads each document and extracts the fields you specify — amounts, dates, names, reference numbers — with high accuracy across varying formats.
Automatic Classification
Documents are classified by type (invoice, contract, delivery note, etc.) and routed to the correct downstream step without any manual triage.
System Integration
Extracted data is written directly to your target system — Airtable, a database, accounting software, or a spreadsheet — with no copy-paste step.
Smart Filing
Processed documents are saved to the correct folder in Google Drive, SharePoint, or S3 with standardised file naming based on extracted metadata.
Exception Handling
Low-confidence extractions are flagged and routed for human review with context. Confident results flow through automatically.
The tools powering this pipeline
Anthropic's Claude handles document understanding — extracting structured data from unstructured PDFs, scans, and email bodies with high reliability.
Self-hosted n8n connects document sources, AI processing, your storage layer, and downstream systems into a single automated flow.
Email parsing, form submissions, and file-drop events trigger processing in real time, keeping your pipeline moving without scheduled batch jobs.
Stack chosen to match your use case — we are not tied to any vendor.
Ready to stop doing things
the hard way?
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