A company processes invoices stored across multiple systems in multiple formats.

This scenario requires an AI solution for invoice processing across multiple systems and formats , while also allowing direct user interaction in Microsoft Teams and keeping workflow customization effort low.

The best option is Microsoft Copilot Studio and AI Builder .

Why this is correct:

AI Builder can be used for document-focused automation tasks such as extracting data from invoices and supporting structured business document processing.

Microsoft Copilot Studio can provide the conversational and workflow-driven layer, including interaction through Microsoft Teams .

Together, they support multi-step automation , including:

document analysis

extracted data handling

validation steps

routing for human review and approval

This combination also aligns with the requirement to minimize development effort , because Copilot Studio and AI Builder are low-code tools designed for rapid business solution delivery.

Why the other options are less suitable:

A. Azure Document Intelligence in Foundry Tools and Azure Logic Apps This can handle extraction and workflow automation, but it usually requires more implementation effort and does not as naturally satisfy the Teams-centric low-code user interaction requirement as Copilot Studio does.

C. Azure OpenAI and Azure Functions This is far more custom-development-heavy and does not meet the goal of minimizing workflow customization effort.

D. a SharePoint agent A SharePoint agent is too narrow for this broader multi-system invoice processing and approval workflow scenario.