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AI Builder invoice processingAI Builder invoice processing with Power Automate

Invoices and documents arrive by email and someone keys them in by hand. AI Builder invoice processing reads them, Power Automate checks and routes them, and a person only steps in for exceptions.

The problem

Why this keeps going wrong

Supplier invoices, delivery notes and application forms land in a shared mailbox as PDFs. Someone opens each one, types the key fields into a spreadsheet or finance system, forwards it for approval and files it. It is slow, error prone, and work piles up at month end or when the person who does it is away.

Signs you need this

  • A shared mailbox receives dozens or hundreds of PDFs a month
  • Staff retype invoice numbers, dates, totals and supplier names
  • Keying errors cause payment delays or duplicate payments
  • Month end means overtime to clear the backlog
  • Documents are saved in inconsistent folders with inconsistent names

How we solve it

The approach, step by step

The same consultant scopes, builds and hands over. You see working software in your own tenant every week.

01

Sample your documents

We gather a representative set of real documents and agree the fields to capture, the validation rules and what counts as an exception.

02

Configure the AI Builder invoice model

The prebuilt AI Builder invoice processing model handles many standard invoices. For other layouts we train a custom document processing model on your samples.

03

Validate and route invoices with Power Automate

Extracted data is checked against rules such as supplier lists, PO numbers and totals. Low-confidence or failed items go to a person for review in a simple app.

04

Approve, record and file

Valid documents follow your approval route, data is written to SharePoint, Dataverse or your finance system, and the file is saved with a consistent name.

05

Monitor AI Builder accuracy

A dashboard tracks volumes, exceptions and extraction confidence, so the model can be retrained when suppliers change layouts.

Typical stack

  • AI Builder invoice processing and document processing models
  • Power Automate
  • Power Apps (review screen)
  • SharePoint or Dataverse
  • Outlook shared mailbox

Typical outcomes

What this pattern usually delivers

Typical ranges for this kind of work, not promises or results from a named client. Your own baseline is measured during scoping.

Manual keying typically reduced by 50% to 80% for documents with consistent layouts
Exceptions surfaced for review instead of errors reaching the finance system
Consistent filing and naming for every processed document
Clear visibility of volumes and backlog at any point in the month

Typical timeline: 3 to 5 weeks, with a working first version early so you can react to something real.

Where to start

Most popular first build

2-Week Proof of Value

A working Power App, flow or Copilot agent on your own data, built in two weekly sprints.

from£4,950

2 weeks

  • Scoping session and success criteria agreed up front
  • Working app, automation or agent in your tenant
  • Two demos, one at the end of each week
  • Recommendation and quote for production rollout

All prices exclude VAT. Final fixed price confirmed in writing after a free scoping call.

FAQ

AI Builder invoice processing: common questions

How accurate is AI Builder invoice processing?

Accuracy depends on document quality and layout consistency. Clean digital PDFs from regular suppliers usually extract well, while poor scans and unusual layouts need more review. We measure accuracy on your own samples during the build and always keep a human review step for low-confidence results.

How is AI Builder licensed?

AI Builder usage consumes credits. Some credits come with certain Power Platform licences, and Microsoft has been moving AI Builder capabilities towards Copilot Credits billing. We confirm current licensing and estimate monthly consumption from your document volumes before you commit.

Can it post into our finance system?

Often, yes, through a Power Automate connector or the system's API. If there is no supported route, the output can be a structured file or list your finance team imports. We check this on the scoping call.

What happens with documents the AI cannot read?

They go to an exception queue in a simple Power App, where a person corrects the fields and approves. Corrections can feed into retraining.

Is this suitable for low volumes?

If you process only a handful of documents a month, the set-up cost may outweigh the saving, and we will say so. It tends to pay back where volumes are steady and the same layouts repeat.

Where is our data processed?

AI Builder runs within your Power Platform environment, in the geography where the environment is hosted. For UK organisations that is typically the United Kingdom region, which we confirm during scoping.

Get a fixed price

Describe your version of this problem.

  • A personal reply within one working day
  • An honest view on whether Power Platform fits
  • A rough budget before any commitment
Reply within one working day. No sales sequence.

Tell us about the process that is slowing you down.

A free 20-minute call with the consultant who would do the work. You get an honest view on fit, a rough budget and the next step. No sales sequence.