Document Automation: AI Extraction and Approval in ERP

TL;DR

What it is: An incoming document (invoice, purchase order, contract) is processed automatically: AI extracts the data, the system validates it against registries and ERP, the document moves through an approval workflow and lands as a record in your ERP or accounting system.
Inputs: PDF, scan, phone photo, Excel, email attachment, API upload, external link for suppliers. No manual retyping.
Workflow: Approval logic based on content: amount, supplier, document type. Automatic escalation and delegation during absence. Full audit trail.
Integration: Microsoft Dynamics 365, SAP, Oracle NetSuite, Sage and other ERPs via API. Push to SharePoint, OneDrive, SFTP. Direct integration without manual export and import.
Our platform: SmartDocto is our AI platform for document automation. Currently in pilot, free trial available. Built for accounting firms, manufacturing, construction, e-commerce and IT outsourcing.

What changes with document automation

Document automation means incoming invoices, purchase orders, contracts or delivery notes are processed automatically: AI extracts the data, the system validates it against ERP and registries, the documents move through an approval workflow and land as records in the ERP or accounting system.

Traditional document processing has three limits that hit companies in operations the hardest.

Manual retyping. An accountant opens a PDF and retypes VAT ID, tax number, reference number, line items and amounts into the ERP. For 200 invoices per month, that's 30 to 50 hours of work. A wrong VAT ID means a misposted ledger entry. A wrong amount means a balance sheet discrepancy.

Traditional OCR isn't enough. OCR reads text but doesn't understand structure. One supplier puts the reference number in the header, another in the footer, a third in the body text. Classic rule-based systems have to be trained on every format manually. When a supplier changes their template, the rule breaks.

Non-standard inputs. Invoices arrive as PDF attachments, scans, phone photos, Excel spreadsheets, sometimes data in the email body itself. A classic system only handles what you configured precisely. AI understands context even with a document it has never seen before.

Automation doesn't replace the accountant. It frees them to handle exceptions and decisions instead of retyping 80% of routine documents.

Which documents are worth automating

Not every document is a good candidate. Pragmatic taxonomy from our practice:

Worth doing (fast payback)

Incoming invoices. High volume, repeating structure, clear approval rules. Top candidate for most companies.
Purchase orders. Structured data, validation against contracts and catalog, approval by amount.
Delivery notes. Validation against purchase orders, automatic matching to warehouse receipts.
Timesheets. Approval by organizational structure, push to payroll.

Worth considering

Contracts. Pays off for repeating types (NDAs, supplier contracts). Custom contracts stay manual.
Work orders and requisitions. If the form is standardized, automation helps. Free-text requests less so.
HR forms (leave, expense reports, requests). Depends on volume. For a 50-person company it may be pointless; for 500+ it becomes critical.

Not worth it

One-off contracts with unique structure. Manual reading is faster than training the system.
Documents without structured data. Free text without specific fields (meeting minutes, email correspondence).
Very low volume. Below 20 documents per month, the setup usually doesn't pay off.

What document automation looks like end-to-end

The full document automation process has five steps. Most companies don't realize that any of these steps can fail.

1. Document intake

Documents arrive through various channels: email attachment, web upload, API integration, external link for suppliers. The system has to handle all these inputs and normalize them to a unified format.

2. Data extraction

AI recognizes structure and pulls out key fields: supplier, VAT ID, tax number, document number, reference number, date, line items, amounts, taxes. Classic OCR reads letters. AI understands where in the document to look for what.

3. Validation

Extracted data is verified against your ERP (does the supplier exist? is the purchase order active?) and external registries (VIES for VAT, national company registries). If a field is missing or validation fails, the document goes back for review.

4. Approval workflow

By rules: amount, document type, supplier, cost center. The approver gets a notification, sees the document and extracted data, approves or returns with a comment. During absence, approval is automatically delegated.

5. Push to ERP

The approved document is created as a record in the target system: invoice in accounting, goods receipt in warehouse, purchase order in ERP. Full audit trail: who approved what, when, with which data.

The weak point is always validation. If validation is too strict, documents get stuck. If it's too loose, bad data lands in the ERP. Validation tuning is the most important decision of the whole implementation.

Approval workflow by content

Approval logic isn't just "send to manager." A real approval workflow has rules based on document content.

Typical approval rules

By amount. An invoice up to EUR 2,000 goes to the cost center lead. Above EUR 2,000 to the division director. Above EUR 20,000 to the CFO or CEO.
By supplier. Suppliers with a framework contract skip purchasing review, auto-pass. New suppliers require purchasing approval.
By document type. Invoices go to accounting. Purchase orders to the head of procurement. Contracts to legal.
By cost center or project. If the cost belongs to project X, the project X owner approves.

What the workflow needs to handle

Escalation. If the approver doesn't respond within 48 hours, the document moves to a backup approver.
Delegation during absence. When a manager is out of office, their approvals automatically delegate to a deputy.
Multiple approvers. For large amounts you often need dual sign-off: cost center lead plus division director.
Return for correction. The approver can return the document with a comment. The accountant fixes it, the document goes through again.
Full audit trail. Who approved, when, based on what data. Important for audit and compliance.

We configure approval logic directly against your organizational structure, using specific rules that match your hierarchy rather than a universal template.

Integration with ERP and other systems

Document automation only makes sense when approved data flows into the ERP without manual export. Pushing data to the target system is technically more demanding than extraction itself.

ERPs we integrate with

Microsoft Dynamics 365 Business Central and Finance & Operations: REST API, OData entities. Our core competency.
SAP Business One and S/4HANA: via OData services, BAPI calls, or middleware.
Oracle NetSuite: REST API, SuiteScript integration.
Sage 50, Sage 200, Sage Intacct: via API or file-based integration.
QuickBooks, Xero: REST API for SMB accounting.
Custom or legacy systems: if the system has at least a database or file-import path, we integrate it.

Other target systems

SharePoint, OneDrive: document archiving, team sharing.
SFTP, FTP: for accounting firms receiving data from clients.
Custom databases: REST API through our integration layer.

What integration actually covers

Field mapping, error handling (what happens when the ERP is unreachable), retry policy, dead-letter queue for undelivered messages, audit log of every attempt. Without this, integration is fragile and breaks after the first outage.

For Microsoft Dynamics we have an established pattern, described on our ERP integration page.

When AI and when rules are enough

AI isn't the answer to everything. For some scenarios, classic rule-based processing (OCR plus if-then) is the better choice: faster, cheaper, more predictable.

AI makes sense when

Documents arrive in various formats and structures (multiple suppliers, different templates)
You need extraction from scans, photos, handwritten fields
Volume is high enough that training on exceptions pays for itself
Validation requires contextual judgment (is this line item the same as the one in the purchase order?)

Rule-based systems work when

You receive one format from one supplier and it doesn't change
Structured input (XML, EDI, JSON), where AI adds nothing
Low volume, where AI implementation can't pay for setup
Regulatory requirement for deterministic processing

In practice, solutions are almost always hybrid: AI for extraction, rules for validation, a workflow engine for approval. The specific mix depends on your use case.

Manual processing vs document automation

Key differences between traditional processing (manual, classic OCR) and document automation with AI:

	Manual / OCR rules	Document automation with AI
New format from a supplier	Rule breaks, needs reconfiguration	AI recognizes structure even in a new format
Scan or phone photo	OCR reads text but doesn't understand structure	AI extracts from scans and photos
Validation	Manual check of every field	Automatic validation against ERP and registries
Approval	Email or paper, lost information	Workflow by rules with full audit trail
Escalation	Approver absence causes a block	Automatic escalation and delegation
Push to ERP	Manual entry or export-import	Direct integration via API
Audit	Searching in emails and binders	Full digital audit trail

swipe to see the full table

SmartDocto: our own platform

SmartDocto is an AI platform for document automation that we develop as our own product. We built it in-house specifically for companies with 50 to 500 employees, rather than reselling someone else's tool.

What SmartDocto does

AI extraction from PDFs, scans, phone photos, Excel and email attachments
Custom templates per document type: train it on your invoices, purchase orders, delivery notes
Validation against registries (VIES for VAT, national company registries) and your ERP (does the supplier exist, is the purchase order active)
Duplicate detection
Approval workflow by rules: amount, supplier, document type
Escalation and delegation during absence
4 intake channels: web upload, email attachment, API, external link for suppliers
Export to ERP, accounting systems, SharePoint, OneDrive, SFTP
Full audit trail, configurable reporting
UI in five languages (English, Czech, Slovak, German, Spanish)

Who it's built for

Accounting firms. Process documents for dozens of clients, need per-client data isolation.
Manufacturing and logistics companies. High volume of invoices and delivery notes, ERP integration.
Construction firms. Project-based approvals, cost allocation to jobs.
E-commerce. Orders, invoices, returns.
IT and outsourcing. Internal admin and work for clients.

How to get started

SmartDocto is currently in pilot. Free trial use, no commitment. To test it you need 10 to 20 real documents (invoices, purchase orders) that you upload via web or forward by email. Evaluation typically within 2 to 3 days.

More at smartdocto.com.

Who to engage for document automation

If you're considering document automation, it pays to understand what type of vendor matches your situation.

What to evaluate

References in similar company size. Enterprise references don't transfer to mid-market.
Integration with your ERP. Without it, automation is only half the journey.
Pilot without commitment. Testing on real documents before you commit to full rollout.
Their own product or platform. If the vendor only resells third-party tools, the value-add is only integration. With their own platform, they have deeper control over the result.
Direct communication. An account manager between you and the people doing the work means longer cycles and lost context.

Where we fit

We deliver implementations for mid-market companies on Microsoft Dynamics 365, SAP, Sage or similar ERPs. We have our own platform, SmartDocto, for document automation. You communicate directly with the people running the project. Initial call and a concrete proposal within three working days. Prague-based, EU-hosted, GDPR compliant.

Frequently Asked Questions

How many invoices per month make automation worth it?

The threshold is usually 100 or more incoming invoices per month. Below 50 invoices, setup may not pay off unless you have a specific reason (compliance, audit trail, multi-client setup). Between 50 and 100 invoices it depends on the other document types. If you also process purchase orders, delivery notes and timesheets, the combined volume decides.

Is Microsoft Copilot enough, or do we need a dedicated platform?

Copilot is a useful personal AI assistant. For a company workflow with multi-level approvals, audit trail and ERP integration you need a platform built for that. It depends on what you're solving: personal productivity or a company process.

How much does document automation cost?

It depends on document volume, number of target systems and approval workflow complexity. SmartDocto has three plans based on team size and volume. For a cost range, we'll walk through your specific use case on a call.

What if a supplier sends a bad format?

AI recognizes that key fields are missing (document number, VAT ID, amount) and the document is queued in the error inbox. The accountant sees what's missing and can fill in manually or request the supplier to resend. A bad format never reaches the ERP automatically.

What if we only have 50 documents a month?

At low volume the case is more about concept validation than payback. If you care about audit trail, multi-level approval or process standardization, automation can still make sense. If you just care about speed, manual processing may be more economical.

What does the SmartDocto pilot look like?

You upload 10 to 20 real documents via web or email. Within 2 to 3 days we send you a report: which fields AI recognized, which are missing, how many documents would pass automatically and how many would need manual intervention. The pilot is free, no commitment. More at smartdocto.com.

How to pick a vendor for document automation?

What matters more than the vendor type is the fit with your situation: references at a similar company size, integration with your ERP, the option to run a pilot without commitment, direct communication with the people doing the work. Specific criteria are covered in the section above.

Does it work with our ERP?

Most likely yes. We routinely integrate with Microsoft Dynamics 365 (BC, F&O), SAP, Oracle NetSuite, Sage and QuickBooks. For smaller or custom systems we work via API, database connection or file import. On a call we verify what you actually run.

Is it secure? AI accesses company data.

SmartDocto runs in the EU, data stays in the EU region (Prague-based hosting, EU Data Boundary). You configure which ERP modules it can access (typically read-only for suppliers and purchase orders, write only for approved entries). Full audit trail of every operation. On-premises option available for companies with strict requirements.

Document automation: invoices, purchase orders and contracts without manual entry