OpenText Decision Service - Gemini Integration and Automation

Common Integration Use Cases Between OpenText Decision Service and Gemini

OpenText Decision Service is well suited for centralized, rule-based decision automation, while Gemini can be used as an AI layer to interpret unstructured inputs, generate recommendations, and support human decision-making. Together, they can improve speed, consistency, and scalability across operational workflows.

1. AI-assisted policy decisioning for customer service cases

Data flow: Gemini to OpenText Decision Service

Gemini analyzes incoming customer emails, chat transcripts, or case notes to identify intent, urgency, sentiment, and key entities such as product, region, or contract type. It then passes structured attributes to OpenText Decision Service, which applies business rules to determine the correct case priority, routing queue, SLA, or escalation path.

• Reduces manual triage effort in service centers
• Improves consistency in case handling
• Speeds up response times for high-priority issues

2. Automated credit or eligibility pre-screening

Data flow: Gemini to OpenText Decision Service

Gemini extracts relevant information from application documents, supporting statements, or uploaded forms, then normalizes the data for decision rules. OpenText Decision Service evaluates the extracted attributes against eligibility criteria, policy thresholds, and exception rules to produce an approve, reject, or refer outcome.

• Shortens onboarding and application review cycles
• Reduces dependency on manual document review
• Supports faster and more auditable decisions

3. Claims or incident intake classification and routing

Data flow: Gemini to OpenText Decision Service

Gemini reviews free-text claim descriptions, incident reports, or supporting attachments to classify the request type and identify missing information. OpenText Decision Service then applies routing and validation rules to send the case to the right team, request additional evidence, or trigger a fast-track path for low-risk cases.

• Improves first-time-right routing
• Reduces back-and-forth with customers or claimants
• Helps prioritize urgent or high-value cases

4. Policy exception handling with AI summarization

Data flow: OpenText Decision Service to Gemini and back

When a case falls outside standard rules, OpenText Decision Service flags it for exception handling and sends the rule outcome, supporting facts, and decision context to Gemini. Gemini generates a concise summary for reviewers, highlights the reason for exception, and suggests additional information needed before a final decision is made.

• Supports faster review of complex exceptions
• Improves transparency for business users and approvers
• Reduces time spent reading long case histories

5. Dynamic offer or next-best-action selection

Data flow: Bi-directional

Gemini analyzes customer interaction history, notes, and current conversation context to infer intent and likely needs. OpenText Decision Service applies business rules to determine which offer, retention action, or service recommendation is allowed based on policy, customer segment, and risk profile. The approved action is then returned to Gemini for natural-language presentation to the user or agent.

• Improves relevance of recommendations
• Ensures offers remain compliant with business policy
• Helps sales and service teams act faster

6. Compliance review and controlled decision explanation

Data flow: OpenText Decision Service to Gemini

OpenText Decision Service produces the formal decision outcome and rule trace for regulated processes such as lending, insurance, or procurement approvals. Gemini converts the technical rule output into a clear business explanation for internal users or customers, helping teams understand why a decision was made and what can be done next.

• Improves decision transparency
• Reduces support calls asking for clarification
• Helps compliance and audit teams communicate outcomes consistently

7. Rule maintenance support using AI-generated change analysis

Data flow: Gemini to OpenText Decision Service

Business analysts use Gemini to summarize policy documents, regulatory updates, or process changes and identify which decision rules may be impacted. The updated rule requirements are then implemented in OpenText Decision Service, allowing teams to adjust decision logic more quickly without embedding changes in application code.

• Accelerates rule update cycles
• Reduces risk of missing policy changes
• Supports closer collaboration between business and IT teams

These integration patterns are especially valuable in environments where decisions must be both fast and explainable, and where unstructured information needs to be converted into structured inputs for deterministic business rules.