Case Study · Finance & Operations

Cutting supplier invoice intake work by 65% with a multi-agent Copilot Studio system

How a multi-agent system built on Microsoft Copilot Studio and Azure took a manual, five-person invoice process and reduced it to an exceptions-only workflow - without removing humans from the decisions that need judgment.

The problem

Every supplier invoice arrived by email and required a Finance team member to manually open it, identify the purchase order, check budget, and create or update the record in the company's CRM before it could move forward. Small errors and delays were routine. Finance's time was going almost entirely to repetitive intake work rather than higher-value tasks.

Diagram of the manual supplier invoice process before automation
The manual process before automation

What we built

We designed a three-agent system in Microsoft Copilot Studio - Intake, Verification, and Posting agents - backed by an Azure reference-data pipeline (Azure AI Search, Azure Functions, Blob Storage) and a live integration layer into the CRM through Power Platform.

The key design decision: separate what can tolerate a short delay (supplier and project reference data, synced periodically into Azure AI Search) from what must always be live (funds availability, duplicate detection, and the actual invoice record) - which is checked directly against the CRM in real time, never from a cached copy.

Baseline architecture for the multi-agent supplier invoice process
The baseline architecture

Humans stay in the loop exactly where judgment is needed: unknown senders get routed to Finance for review, supplier-side document issues get a direct reply, and every insufficient-funds or processing exception becomes a task for Finance or the project manager - not a silent failure. Final approval remains a human step.

Hardening it for production

Before rollout we closed several gaps: centralized every integration secret in a single Azure Key Vault behind managed identities, added a Data Loss Prevention policy around the Power Platform environment, added Application Insights and flow-run monitoring, and - because the agents read supplier-controlled email and PDF content - built explicit safeguards against prompt injection, treating that content strictly as data to extract from, never as instructions to follow.

Hardened production architecture for the multi-agent supplier invoice process
The hardened, production architecture

The result

65%reduction in manual effort at invoice intake.
3 of 5Finance team members freed from routine invoice processing to focus on higher-value work.

Most of the project's time wasn't spent building the platform - the agent scaffolding came together quickly. The real investment was tuning agent behavior against more than 500 historical invoice cases to reach production-level accuracy on classification and extraction.

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