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Microsoft 365 - OpenText Decision Service Integration and Automation

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Common Integration Use Cases Between Microsoft 365 and OpenText Decision Service

Microsoft 365 and OpenText Decision Service complement each other well in environments where employees collaborate in Microsoft tools while business decisions must follow consistent, centrally managed rules. Microsoft 365 provides the communication, document, and workflow collaboration layer, while OpenText Decision Service automates rule-based decisions inside those processes.

1. Automated policy approval for employee requests

Data flow: Microsoft 365 to OpenText Decision Service, then back to Microsoft 365

Employee requests submitted through Microsoft Forms, Outlook, or Teams can be routed to OpenText Decision Service to determine whether they meet policy thresholds. For example, travel requests, training approvals, or purchase requests can be automatically approved, rejected, or escalated based on budget, role, location, or department rules.

  • Employees submit requests in familiar Microsoft 365 channels
  • Decision Service evaluates the request against current policy rules
  • Approval outcomes are returned to Teams or Outlook notifications
  • Managers only review exceptions, reducing manual workload

Business value: Faster approvals, fewer policy violations, and reduced administrative effort.

2. Contract and document review routing

Data flow: Microsoft 365 to OpenText Decision Service

Documents created in Word and stored in SharePoint can be assessed by OpenText Decision Service to determine the correct review path. The decision engine can classify documents based on contract value, legal terms, customer type, or risk level and then assign them to the appropriate approver or legal reviewer.

  • Contract metadata is captured in SharePoint or Microsoft Lists
  • Decision rules determine whether legal, finance, or procurement review is required
  • Teams tasks or Outlook alerts are generated for the assigned reviewers
  • Low-risk documents move through a simplified approval path

Business value: Shorter contract cycle times and more consistent governance.

3. Case triage for service and compliance teams

Data flow: Microsoft 365 to OpenText Decision Service, with updates back to Microsoft 365

Cases initiated through Outlook emails, Teams messages, or SharePoint lists can be triaged automatically using decision rules. For example, compliance incidents, HR complaints, or customer escalations can be prioritized based on severity, business unit, geography, or regulatory impact.

  • Incoming cases are captured from Microsoft 365 collaboration channels
  • Decision Service assigns priority and routing based on business rules
  • Teams channels or Planner tasks are created for the assigned team
  • Case status updates are shared back to stakeholders in Microsoft 365

Business value: Better case prioritization, improved response times, and more reliable escalation handling.

4. Automated procurement and spend controls

Data flow: Microsoft 365 to OpenText Decision Service, then back to Microsoft 365

Procurement requests submitted through Microsoft Forms, Excel-based templates, or SharePoint lists can be evaluated against spend limits, vendor rules, and approval authority matrices. OpenText Decision Service can determine whether a request is auto-approved, requires additional approvals, or must be blocked.

  • Request data is entered in Microsoft 365 forms or lists
  • Decision rules check budget availability, vendor status, and approval thresholds
  • Approved requests are forwarded to downstream procurement systems or teams
  • Exceptions are flagged in Teams for review

Business value: Stronger spend governance, fewer policy breaches, and reduced procurement bottlenecks.

5. HR onboarding and employee eligibility decisions

Data flow: Microsoft 365 to OpenText Decision Service, with notifications back to Microsoft 365

HR teams can use Microsoft 365 to manage onboarding checklists, documents, and communications while OpenText Decision Service determines eligibility-based actions. For example, the system can decide which onboarding tasks apply to a new hire based on job level, country, employment type, or union status.

  • HR enters employee details in SharePoint or Microsoft Lists
  • Decision Service applies rules for benefits, equipment, training, and compliance tasks
  • Task assignments are pushed to Teams, Planner, or Outlook
  • HR receives consistent onboarding outcomes across regions and roles

Business value: Standardized onboarding, fewer manual errors, and improved employee experience.

6. Risk-based access or exception approval workflows

Data flow: Microsoft 365 to OpenText Decision Service

Requests for exceptions such as access to sensitive documents, temporary policy waivers, or special handling of regulated content can be evaluated by OpenText Decision Service. Microsoft 365 provides the collaboration and document-sharing layer, while the decision engine determines whether the exception is allowed and what controls must apply.

  • Users submit exception requests through Teams, Outlook, or SharePoint
  • Decision rules assess risk, role, and business justification
  • Approvals or denials are communicated automatically
  • Audit-ready records are retained in Microsoft 365 repositories

Business value: Better control over exceptions, stronger auditability, and faster decision turnaround.

7. Operational reporting and decision transparency

Data flow: OpenText Decision Service to Microsoft 365

Decision outcomes, rule hits, and exception trends can be exported into Excel or Power BI for operational reporting and management review. Business teams can analyze how often rules are triggered, where bottlenecks occur, and which policies need refinement.

  • Decision logs are sent to SharePoint, Excel, or Power BI datasets
  • Managers review approval rates, exception volumes, and turnaround times
  • Policy owners identify rules that need adjustment
  • Teams use the insights to improve process design and governance

Business value: Greater decision transparency, better policy tuning, and stronger operational oversight.

8. Policy-driven collaboration for distributed teams

Data flow: Bi-directional

Distributed teams working in Microsoft Teams can collaborate on requests, while OpenText Decision Service ensures the same business rules are applied regardless of location or team. This is useful for organizations with regional variations in policy, such as finance, HR, legal, or customer operations.

  • Teams is used for discussion and request coordination
  • Decision Service applies standardized rules with regional variations where needed
  • Outcomes are posted back into the relevant Teams channel
  • All participants work from the same decision framework

Business value: Consistent decisions across teams, improved collaboration, and reduced dependency on manual interpretation of policy.

How to integrate and automate Microsoft 365 with OpenText Decision Service using OneTeg?