Use
Your ERP does this natively
ERP-native AP automation — such as Business Central's Payables Agent — already reads incoming invoices and prepares them for matching. If your volumes and formats are ordinary, this is very likely enough.
Stop manually reading and routing supplier invoices.
AI extracts invoice data, matches it to orders and receipts, proposes coding and routes exceptions. Often your ERP already can.
Can AI process supplier invoices automatically?
Yes. AI can read supplier invoices, extract line items, match them against purchase orders and receipts, propose accounting information and route exceptions for human review. The business case is strongest where invoice volumes are material and current processing still requires repetitive manual checks.
Every invoice is read by a person who already knows what it says.
Accounts payable is the most measurable repetitive workflow in most companies:
- Invoices arrive as PDFs in a shared mailbox.
- Someone reads each one and keys the header and lines into ERP.
- Matching against the purchase order and receipt is manual.
- Coding is proposed from memory.
- Approvals travel by email and wait in inboxes.
- Month-end means chasing the stragglers.
Use · Extend · Buy · Build
Invoice extraction is commodity technology. That shapes the decision.
- 1
Use
Native capability
- 2
Extend
Connect the missing pieces
- 3
Buy
Specialist solution
- 4
Build
Own the differentiator
Extend
Your process has non-standard edges
The base is right but the edges aren't covered: a custom approval matrix, non-standard supplier data, a shared mailbox setup or an external procurement system. Extend the native flow rather than replacing it.
Buy
Scale justifies a specialist
Specialist AP-automation products pay off when volume is high, you run multiple ERPs or entities, matching is genuinely complex, or the specialist's economics are simply better at your scale.
Build
Rarely the right answer here
Basic invoice extraction is a commodity — never rebuild it. Custom work is only defensible for genuinely differentiated exception or control logic. Sometimes our honest conclusion is: there is nothing worth building here.
In practice
Touchless where possible, reviewed where it matters
The standard automated AP flow:
- 1
An invoice arrives
PDF by email, e-invoice or portal download — all into one intake.
- 2
Data is extracted
Header, lines, VAT and references — read and structured automatically.
- 3
It is matched
Against the purchase order and goods receipt; coding is proposed.
- 4
Clean invoices post
Within-tolerance matches are booked and scheduled for payment without a touch.
- 5
Exceptions route to the right person
Price or quantity mismatches go to whoever can actually resolve them — with the evidence attached.
What should we measure?
No promised percentages. We agree the baseline, then measure:
- touchless processing rate
- cost per invoice
- invoice cycle time
- exception rate
- error rate
We don't force a strategy project in front of an obvious solution.
If the route is clear
Straight to configuration or implementation with your partner, a specialist product or the right team.
If the route is uncertain
We compare the options or validate the workflow with a Minimal Viable Agent first.
If several opportunities compete
We prioritise them through a ScopeRight Scoping Workshop.
Works with the stack you already have
We start from your current CRM, ERP, email, documents and SaaS — not from a new platform.
Frequently asked questions
We already have OCR. Isn't this the same thing?
Classic OCR reads characters; the current generation reads invoices — it interprets lines, matches them to orders and receipts, and proposes coding. The difference shows in the touchless rate.
Is ERP-native AP automation good enough?
For ordinary volumes and formats, increasingly yes — Business Central's Payables Agent is a real example. We test native capability against your actual invoice mix before recommending anything on top.
When does specialist AP software make sense?
High volumes, multiple ERPs or entities, complex matching rules, or supplier bases with messy document quality. At that scale the specialist's economics usually win.
Should we build anything custom for invoices?
Rarely. Extraction and matching are commodities. Only genuinely differentiated exception or control logic can justify custom work — and sometimes the honest answer is that nothing here is worth building.
What about e-invoicing regulations?
Structured e-invoicing (such as Peppol) reduces the extraction problem but not the matching, coding and exception work. The workflow above applies to both paper-born and structured invoices.
Where this fits
Every service works on its own. Unsure where to start? Begin with the free intake.
Accelerate AI on your existing enterprise platform
Get more from Microsoft, Salesforce or SAP before adding another AI stack.
Validate a use case with a Minimal Viable Agent
Evidence before scale: validate one use case end to end.
Take a validated use case into operation
Deploy, configure or build — the architecture follows the scope.
Explore the AI Field Sprint
Find the AI workflows worth deploying — inside the business.
Need structure before you spend more on AI?
One call. Clear priorities and a recommended path.