ERP document automation is the practice of turning unstructured inbound documents (emails, PDFs, attachments, and messages) into structured ERP records without manual data entry. AI reads the document, identifies the relevant fields (customer, items, quantities, prices, dates), matches them against your catalogue and contacts, and drafts a ready-to-post ERP record. A person reviews the draft and approves it, and only then does it write to the ERP through an API or MCP layer. It removes the routine keying while keeping a human in control of every record.
Four stages, from an incoming email or message to a clean record in the ERP you already run.
An order, invoice, or quote arrives by email, PDF, or attachment, or as a WhatsApp or voice message. It is detected and read automatically, whatever the format.
The model identifies every relevant field and matches items and contacts against your catalogue, so a typo'd product name or a supplier variant still resolves to the right record.
The drafted record appears as a plain-language preview. Your team checks it and approves with one tap, or corrects it first. The person always has the final say.
On approval the record posts to your ERP through an API or typed MCP layer. No migration, no system change, no ad-hoc write. It works with the ERP (or CRM) you already run.
Most document-to-ERP tools stop at email and one system. We go wider, and we keep a human on every write.
Not just email and PDFs. The same pipeline captures orders and updates from WhatsApp, Telegram, and voice notes, where a lot of real business actually happens.
Write to the system of record you run, whether that is your ERP, Salesforce, HubSpot, Pipedrive, or a platform we built for you. One capture layer, any destination.
AI proposes, a person confirms, and the write goes through a typed, auditable layer. A misread is caught in the preview, so a wrong entry never quietly reaches your books.
API and MCP integration means no rip-and-replace and no long IT project. We analyze your process, pilot it, and you go live in a few weeks.
AI reads the incoming email and any attachments, identifies the relevant fields (customer, items, quantities, prices, dates), and drafts a structured ERP record. Your team reviews a plain-language preview and approves it, and only then does it post to the ERP through an API or MCP layer. There is no manual re-keying and no copy-paste.
Incoming orders, invoices, quotes, and enquiries, whether they arrive as email text, PDFs, scanned documents, or attachments. Because the extraction is model-based rather than template-based, it handles the irregular formats real suppliers and customers send, not just one fixed layout.
Yes. Integration is API or MCP based, so it communicates directly with your existing ERP and works with your current records, with no system change and no complex migration. It fits in front of the ERP you already run rather than replacing it.
No, and that is deliberate. The AI only drafts a record. A person on your team approves it before anything posts, and the write goes through a typed, scoped layer rather than giving a model direct database access. A wrong entry in a system of record costs more than no entry, so the approval step is not optional.
We engineer for accuracy rather than rely on a perfect model: model-based extraction matched against your catalogue and contacts, plus automated checks that flag low-confidence values. The approval step then sits on top as a final peace-of-mind layer — the drafted values are shown back to your team in a preview where anything off is caught in a glance, before the record ever reaches the ERP.
Yes. The same pipeline handles email and PDFs as well as WhatsApp, Telegram, and voice notes, with transcription added for voice. It writes into your ERP or your CRM, so a single capture layer covers the channels your customers and field team actually use.
Send us a sample of the emails and documents you key in by hand, or book a 30-minute demo. We will show you what going from inbox to ERP looks like on your process.
