Azure AI Document Intelligence - Glean Integration and Automation

Common Integration Use Cases Between Azure AI Document Intelligence and Glean

Azure AI Document Intelligence and Glean complement each other well in enterprise environments where critical information is trapped in documents, while employees need fast access to that information across teams, systems, and knowledge sources. Azure AI Document Intelligence extracts structured data from invoices, contracts, forms, and other documents, while Glean makes that information searchable and discoverable across the organization. Together, they can reduce manual work, improve decision-making, and accelerate business processes.

1. Make extracted document data searchable in Glean

Data flow: Azure AI Document Intelligence to Glean

When Azure AI Document Intelligence processes invoices, contracts, onboarding forms, or claims documents, the extracted fields and metadata can be indexed in Glean. This allows employees to search for document content by vendor name, contract date, invoice number, customer ID, or policy reference without opening the source system.

Business value: Faster retrieval of critical information, reduced dependency on manual document review, and improved self-service access for finance, legal, HR, and operations teams.

2. Surface document insights alongside enterprise knowledge

Data flow: Azure AI Document Intelligence to Glean

Extracted data from processed documents can be combined with related knowledge sources in Glean, such as policy documents, internal FAQs, project notes, and email content. For example, a claims analyst searching for a specific claim can see the extracted claim details together with the relevant policy guidance and prior case discussions.

Business value: Better context for decision-making, fewer handoffs between teams, and more consistent handling of cases and requests.

3. Accelerate contract and compliance review workflows

Data flow: Azure AI Document Intelligence to Glean

Legal and compliance teams can use Azure AI Document Intelligence to extract clauses, dates, obligations, and signatures from contracts or regulatory documents. Glean can then index those outputs so reviewers can quickly locate agreements with specific terms, renewal dates, or missing fields across large document sets.

Business value: Shorter review cycles, improved compliance tracking, and reduced risk of missed obligations or expired agreements.

4. Support employee onboarding with document-driven knowledge access

Data flow: Azure AI Document Intelligence to Glean

During onboarding, Azure AI Document Intelligence can extract data from employee forms, identity documents, tax forms, and benefit enrollment documents. Glean can make that information available to HR and onboarding teams, along with related onboarding checklists, policy documents, and process instructions.

Business value: Faster onboarding completion, fewer manual follow-ups, and a smoother experience for HR and new hires.

5. Improve accounts payable and procurement visibility

Data flow: Azure AI Document Intelligence to Glean

Invoices, purchase orders, and receipts processed by Azure AI Document Intelligence can be indexed in Glean so procurement, finance, and business users can search by supplier, amount, status, or PO number. This is especially useful when teams need to answer questions about payment status, document exceptions, or spend history without logging into multiple systems.

Business value: Reduced time spent on invoice lookup, better cross-functional visibility, and fewer payment delays caused by missing information.

6. Enable case teams to find supporting documents faster

Data flow: Azure AI Document Intelligence to Glean

Customer support, claims, or service teams often need to locate supporting documents such as signed forms, proof of delivery, medical records, or application packets. Azure AI Document Intelligence can extract key identifiers and document attributes, while Glean can make those records searchable by case number, customer name, or document type.

Business value: Faster case resolution, improved customer response times, and less time spent searching across repositories.

7. Create a unified search experience across documents and internal knowledge

Data flow: Bi-directional, with Azure AI Document Intelligence feeding structured document data into Glean and Glean providing access to related knowledge content

Organizations can use Azure AI Document Intelligence to convert unstructured documents into structured, searchable data and then use Glean to unify that data with policies, playbooks, project documentation, and team knowledge. This creates a single search experience for employees who need both the source document and the internal guidance around it.

Business value: Less time switching between systems, better knowledge reuse, and more informed decisions across departments.

In summary, integrating Azure AI Document Intelligence with Glean helps enterprises turn document extraction into actionable knowledge. Azure AI Document Intelligence captures the data, and Glean makes that data easy to find, share, and use across the business.