Microsoft 365 - Google Document AI Integration and Automation

Common Integration Use Cases Between Microsoft 365 and Google Document AI

1. Automated invoice and accounts payable document processing

Flow: Microsoft 365 to Google Document AI to Microsoft 365

Accounts payable teams can receive invoices in Outlook, save them to SharePoint or OneDrive, and send them to Google Document AI for extraction of vendor name, invoice number, line items, tax, and due dates. The structured output can then be returned to Excel, SharePoint lists, or Power Automate workflows for approval routing and posting to ERP systems. This reduces manual data entry, speeds up invoice approval cycles, and improves payment accuracy.

2. Contract intake and clause extraction for legal and procurement teams

Flow: Microsoft 365 to Google Document AI to Microsoft 365

Legal and procurement teams can store incoming contracts in SharePoint or receive them through Outlook, then use Google Document AI to extract key terms such as renewal dates, termination clauses, obligations, and signatures. The extracted data can be pushed back into Microsoft Teams notifications, SharePoint metadata, or Excel trackers for review and compliance monitoring. This helps teams identify risk faster and maintain better contract visibility across the organization.

3. Employee onboarding document verification

Flow: Microsoft 365 to Google Document AI to Microsoft 365

HR teams can collect onboarding documents through Microsoft Forms, Outlook, or SharePoint, then use Google Document AI to classify and extract information from passports, IDs, tax forms, and employment documents. The results can be returned to Microsoft 365 workflows for validation, case management, and secure storage in SharePoint. This improves onboarding speed, reduces manual checking, and creates a more consistent employee experience.

4. Accounts receivable and remittance processing

Flow: Microsoft 365 to Google Document AI to Microsoft 365

Finance teams can receive remittance advice, checks, or payment notices in Outlook or shared mailboxes and route them to Google Document AI for extraction of payer details, invoice references, and payment amounts. The processed data can be written back into Excel, SharePoint, or Power BI datasets to reconcile open receivables and update cash application workflows. This shortens reconciliation time and improves visibility into incoming payments.

5. Compliance document classification and retention tagging

Flow: Microsoft 365 to Google Document AI to Microsoft 365

Organizations can use SharePoint or OneDrive as the document repository and send files to Google Document AI to classify document types such as policies, audit evidence, regulatory filings, or customer records. The classification results can be returned to Microsoft 365 to apply metadata, retention labels, or workflow actions in SharePoint and Purview. This supports stronger records management and reduces the risk of misfiled compliance documents.

6. Claims and case file digitization for operations teams

Flow: Microsoft 365 to Google Document AI to Microsoft 365

Operations teams in insurance, healthcare, or public sector environments can receive claim forms, supporting documents, and correspondence through Outlook or Teams, then process them with Google Document AI to extract case details and supporting evidence. The structured data can be sent back into Microsoft 365 case trackers, SharePoint libraries, or Teams channels for review and action. This improves case handling speed and reduces dependency on manual document review.

7. Executive reporting from unstructured business documents

Flow: Microsoft 365 to Google Document AI to Microsoft 365

Business teams can store board packs, performance reports, and operational documents in SharePoint, then use Google Document AI to extract tables, key metrics, and document summaries. The extracted data can be loaded into Excel or Power BI for analysis and dashboarding. This enables faster reporting cycles and makes it easier to compare information across large volumes of documents.

8. Bi-directional document workflow orchestration across collaboration and extraction tools

Flow: Bi-directional

Microsoft 365 can serve as the user-facing collaboration layer for document submission, review, and approval, while Google Document AI handles intelligent document parsing and classification. Processed results can be returned to Microsoft Teams for task assignment, SharePoint for storage, and Outlook for notifications, with exceptions routed back for human review. This creates a practical end-to-end workflow for document-heavy operations where business users work in Microsoft 365 and automation handles extraction in the background.