Document AI extraction
Structured data extracted from documents, validated, and filed.
How it works · Document AI extraction
STEP BY STEP
In
- Documents
- Email inbox
Google Drive
- 1
Read01
Text and tables extracted
8 pages
- 2
Structure02
Fields filled to a schema
24 fields
- 3
Validate03
Rules and confidence checked
2 low
Human checkpoint
- 4
File04
Saved to the system of record
Filed
Out
Airtable- Exception list
- Audit trail
How it works
01
The problem
Contracts, forms, and IDs are read and typed in by hand.
Step by step
- 01Read. Text and tables extracted.
- 02Structure. Fields filled to a schema.
- 03Validate. Rules and confidence checked.Human checkpoint
- 04File. Saved to the system of record.
Tools and control
02
Connects
- Google Drive
OpenAI- Airtable
PostgreSQL
Built on n8n. Equivalent tools can be swapped in.
Human control
A person stays in control at the "Validate" step. Everything else runs on rules you agree, with every run logged.
More in AI agents
03
AI agents
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Staff ask in plain language and get answers with the source attached.
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Tool-using operations agent
An agent completes routine multi-step tasks, pausing for approval where it matters.
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Multi-agent workflows and MCP
Specialist agents share the work, with tools exposed safely through MCP.
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Next step
What would you like to improve?
Tell us what is taking too much time, what is difficult to manage, or what you would like your systems to do differently. You do not need a technical specification to start.