Cart is empty Accounts payable is one of the last functions in finance that still runs on manual effort in many organisations. Invoices arrive by email, post or portal. Someone opens them, reads them, types the data into the ERP, checks the numbers against a purchase order, chases an approval, corrects the inevitable keying errors, and eventually posts the entry. Multiply that by hundreds or thousands of invoices per month and you have a process that consumes significant headcount, introduces avoidable errors, delays payments, and creates a bottleneck that ripples through cash flow, supplier relationships and month-end close.
invoice processing automation eliminates the manual keying at the centre of this problem. Using Microsoft Power Platform — specifically Power Automate for workflow orchestration and AI Builder for intelligent data extraction — organisations can automate how invoices are captured, read, validated and posted to Dynamics 365 Finance, while keeping human oversight exactly where it needs to be.
This article explains the two approaches available on Power Platform — prebuilt and custom — so you can choose the right invoice processing software model for your volume, complexity and control requirements.
Why Manual Invoice Processing Is Costing More Than You Think
The direct cost of manual invoice processing is straightforward to calculate: the time AP staff spend opening emails, keying data, resolving discrepancies and chasing approvals. Industry benchmarks consistently place the cost of manually processing a single invoice between £8 and £15, depending on complexity and error rates.
But the indirect costs are often larger. Late payments triggered by processing backlogs damage supplier relationships and forfeit early-payment discounts. Keying errors create mismatches that require investigation, correction and re-approval — each one consuming more time than getting it right the first time. Month-end close is delayed because the AP team is still working through the queue. And audit exposure increases when invoice records are inconsistent, incomplete or poorly documented.
Automatic invoice processing addresses all of these simultaneously. By removing manual data entry from the critical path, it reduces per-invoice cost, improves accuracy, accelerates throughput and creates a consistent, auditable record of every invoice from receipt to posting.
How AI Invoice Processing Works on Power Platform
At the core of invoice processing automation on Power Platform is AI Builder — Microsoft's no-code AI capability that can read invoices (PDFs, scanned images, photographs) and extract structured data from them automatically.
The AI invoice processing workflow follows a clear sequence. Invoices arrive from a defined source — typically a monitored email inbox, a SharePoint folder or a OneDrive location. Power Automate picks up each new invoice and sends it to AI Builder for extraction. The AI model reads the document and identifies key fields: supplier name and address, invoice number and date, line items and quantities, unit prices, totals, VAT amounts and due date. Each extracted field carries a confidence score that indicates how certain the model is about the value it has read.
If all fields pass defined validation rules and confidence thresholds, Power Automate creates the invoice record directly in Dynamics 365 Finance — no human intervention required. If any field fails validation or falls below the confidence threshold, the invoice is routed to an exception queue where an AP team member reviews it in a Power Apps screen, corrects or completes the data, and submits it for posting.
This is the fundamental design principle that makes automated invoice processing practical for finance teams: the AI handles the routine volume, humans handle the exceptions, and governance is maintained throughout. It's not about replacing the AP team — it's about redirecting their time from data entry to decision-making.
Option 1: Microsoft's Prebuilt Invoice Processing Model
The fastest route to invoice processing automation on Power Platform is the prebuilt AI Builder invoice model. This is a ready-made model trained by Microsoft on a broad dataset of common invoice layouts. It requires no AI training from your side — you configure the flow, connect your invoice source and your ERP target, and the model starts extracting data immediately.
When the Prebuilt Model Works Well
The prebuilt model is best suited to organisations where the majority of supplier invoices follow standard formats — a clearly structured header with supplier details, an invoice number, a date, line items with descriptions and amounts, and a total. Most commercial invoices from established suppliers fit this pattern, which means the prebuilt model covers a significant share of typical AP volume without any customisation.
For organisations running Dynamics 365 Finance, the integration path is direct. Power Automate passes the extracted data to D365 Finance through standard connectors or Dataverse, creating vendor invoice records that flow through your existing approval and posting workflows. The prebuilt model is documented in detail on Microsoft Learn, including supported fields, confidence scoring and configuration options.
What's Included in the Prebuilt Flow
A typical prebuilt automatic invoice processing flow includes invoice collection from a monitored mailbox or OneDrive folder, AI extraction of header and line-level fields, confidence-based validation that determines whether the invoice can be posted automatically or needs human review, exception routing to a Power Apps review screen for manual correction, and creation of the invoice record in Dynamics 365 Finance once all validation passes.
The entire flow can be configured and operational within days for straightforward scenarios — making it one of the fastest-to-value automation opportunities available on Power Platform.
Option 2: Custom Power Automate + AI Builder Approach
Not every invoice environment is straightforward. Organisations that receive invoices in multiple languages, from suppliers with non-standard or highly variable layouts, or with industry-specific fields that the prebuilt model doesn't recognise will need a custom approach to AI invoice processing.
When to Choose Custom
The custom route is appropriate when a significant proportion of invoices have layouts that the prebuilt model struggles with — handwritten elements, unusual field placements, merged tables, multi-page line items, or fields specific to your industry (such as commodity codes, contract references or delivery note numbers). It's also the right choice when you need to extract data points that the prebuilt model doesn't support, or when you want to train the model on your specific supplier base for higher accuracy.
How Custom Models Work
AI Builder allows you to create custom document processing models trained on your own invoice samples. You upload a representative set of invoices, tag the fields you want to extract, and train the model to recognise those fields across the variation present in your supplier base. The model improves as you add more samples and correct its predictions during the training loop.
Once trained, the custom model plugs into the same Power Automate flow architecture as the prebuilt option — collection, extraction, validation, exception handling and ERP posting. The difference is that extraction accuracy is tuned to your specific document types rather than relying on a general-purpose model.
Combining Prebuilt and Custom
Many organisations find the optimal approach is a hybrid. The prebuilt model handles the bulk of standard invoices — perhaps 70 to 80% of volume — while a custom model is trained for the remaining suppliers whose layouts the prebuilt model can't reliably read. Power Automate can route invoices to the appropriate model based on supplier, document type or initial classification, ensuring each invoice gets the best extraction path without manual triage.
The Business Case for Automated Invoice Processing
The ROI of invoice processing automation compounds across several dimensions. Direct cost savings come from reduced AP headcount requirements and lower per-invoice processing cost. Speed improvements come from eliminating the manual keying bottleneck — invoices that previously took days to process can be captured and validated within minutes. Accuracy improvements reduce the volume of corrections, re-approvals and supplier queries that consume AP time downstream.
There's also a significant governance and audit benefit. Every automated invoice processing step is logged — the original document, the extracted data, the confidence scores, any human corrections and the final posted record. This creates a complete, searchable audit trail that manual processes simply cannot match, which simplifies both internal audit and external compliance reviews.
For organisations using Dynamics 365 Finance, the integration means invoice data flows directly into your general ledger, vendor subledger and payment workflows without re-keying. Combined with Power BI dashboards for AP analytics — invoice volumes, processing times, exception rates, supplier payment performance — you gain operational visibility that turns AP from a cost centre into a managed, optimised function.
Beyond Invoices: Extending Automation Across Finance
Once invoice processing automation is running successfully, the same Power Platform architecture extends naturally to adjacent processes. Purchase order matching, expense claim processing, credit note handling and contract data extraction all follow similar patterns — document capture, AI extraction, validation, exception handling and ERP posting.
Power Automate workflows can also handle approval routing, escalation logic and notification sequences, while Power Apps provides the review and correction interfaces. Power BI closes the loop with reporting and analytics. The Power Platform becomes a reusable automation layer across the entire finance function — not a one-off solution for a single process.
GO-ERP's financial management solutions portfolio includes pre-built accelerators and proven patterns for extending automation beyond invoice processing, helping organisations build a scalable automation roadmap rather than isolated point solutions.
How to Get Started
The right starting point depends on your current volume, supplier diversity and ERP landscape. For organisations already on Dynamics 365 Finance, the prebuilt model can be configured and live within days. For more complex environments, a scoping exercise identifies which invoices suit prebuilt processing, which need custom models, and where human review adds the most value.
GO-ERP delivers invoice processing automation as part of a broader Dynamics 365 and Power Platform practice spanning implementation, development, managed services and training. Whether you need a quick-start deployment of the prebuilt model or a fully custom AI invoice processing solution integrated with Dynamics 365 Finance, the team brings the product depth and delivery discipline to get it right.
Contact GO-ERP to discuss your invoice automation requirements and see how quickly you can move from manual keying to intelligent, governed automatic invoice processing.