Map the documents
Collect real samples and define the fields and rules that matter.
Document processing
AI document processing that removes manual data entry from PDFs and forms.
AI document processing reads documents such as invoices, forms, claims and contracts, extracts the fields your team needs, validates them against your rules, and sends the data into your systems. Flowmoat builds these pipelines with confidence thresholds, so uncertain cases go to a person instead of being guessed.
Sound familiar?
The problems this solves
Your team retypes data from PDFs and emails into a CRM, ERP or spreadsheet.
Typing errors cause wrong invoices, missed deadlines, or rework later.
Document volume grows faster than the team that processes it.
Template-based OCR breaks every time a supplier changes their layout.
How it works
From first call to working system
Extract and validate
AI extracts fields; rules check totals, dates and required values.
Human review
Low-confidence documents go to a review queue instead of straight through.
Push to your systems
Clean data lands in your CRM, ERP, database or sheet automatically.
Related reading
Before you decide
AI agents vs workflow automation: when you actually need each
If a process has fixed rules, an AI agent is the expensive way to run it. The test is simple: does any step require judgement?
n8n vs Make vs custom code: how to choose an automation approach
The honest answer is that most real systems use both a platform and custom code. The question is which parts get which — and there are four signals that decide it.
Want proof we ship? See products we built and operate
FAQ
Common questions
Invoices, purchase orders, forms, claims, contracts, IDs and emails, including scanned documents and layouts that change between senders.
Each field has a confidence score. Below the threshold, the document goes to a person to check, so errors don't flow into your systems.
No. The pipeline writes into the tools you already use through their APIs, n8n, or a direct database connection.