OpenText Decision Service - WhatsApp Integration and Automation

Common Integration Use Cases Between OpenText Decision Service and WhatsApp

1. Automated customer eligibility checks with WhatsApp notifications

Data flow: WhatsApp to OpenText Decision Service, then OpenText Decision Service to WhatsApp

Customers submit a request through WhatsApp for a product, service, or benefit. OpenText Decision Service evaluates eligibility using business rules such as credit thresholds, account status, geography, or policy constraints. The decision outcome is then sent back to WhatsApp with an approval, rejection, or request for more information. This reduces manual screening and gives customers a fast, consistent response.

2. Real-time case triage for service requests

Data flow: WhatsApp to OpenText Decision Service

Incoming WhatsApp messages from customers are classified and routed based on decision rules. For example, complaints about billing, fraud, delivery delays, or account access can be prioritized differently depending on customer segment, issue severity, or SLA commitments. OpenText Decision Service determines the next action, such as auto-resolution, escalation to an agent, or creation of a high-priority case.

3. Loan or financing prequalification via conversational intake

Data flow: WhatsApp to OpenText Decision Service, then OpenText Decision Service to WhatsApp

A bank or lender can use WhatsApp as a conversational channel to collect basic applicant details such as income range, employment type, and requested amount. OpenText Decision Service applies lending rules to prequalify the applicant and returns a decision or next step. This shortens application cycles and reduces the workload on branch and contact center teams.

4. Policy-based fraud alert handling

Data flow: OpenText Decision Service to WhatsApp, then WhatsApp to OpenText Decision Service

When a transaction or account event triggers a fraud rule, OpenText Decision Service can send an alert to the customer through WhatsApp asking them to confirm whether the activity is legitimate. The customer response is fed back into the decision engine to either release the transaction, block it, or escalate to fraud operations. This improves fraud response time while reducing false positives.

5. Order exception management and customer communication

Data flow: OpenText Decision Service to WhatsApp

In retail, logistics, or manufacturing, OpenText Decision Service can detect exceptions such as delayed shipment, failed delivery, stock shortage, or address mismatch. It can then trigger a WhatsApp message to the customer with the relevant status and available options, such as rescheduling delivery or confirming an alternate address. This reduces inbound calls and improves customer transparency.

6. Consent capture and preference management

Data flow: WhatsApp to OpenText Decision Service

Organizations can use WhatsApp to collect customer consent for marketing, data processing, or service communications. OpenText Decision Service applies rules to validate whether consent is required, whether the customer is eligible for a specific communication type, and whether regional compliance conditions are met. The result is stored and used to control future outreach, helping teams stay compliant and avoid unauthorized messaging.

7. Appointment scheduling and rule-based slot allocation

Data flow: WhatsApp to OpenText Decision Service, then OpenText Decision Service to WhatsApp

Customers can request appointments through WhatsApp for services such as branch visits, technician visits, medical consultations, or inspections. OpenText Decision Service checks business rules like service priority, location, staff availability, and customer tier to assign the best available slot. The confirmed appointment is sent back through WhatsApp, reducing scheduling conflicts and manual coordination.

8. Collections and payment reminder orchestration

Data flow: OpenText Decision Service to WhatsApp, then WhatsApp to OpenText Decision Service

For overdue accounts, OpenText Decision Service determines when and how to contact a customer based on delinquency stage, payment history, and regulatory rules. WhatsApp is used to send reminders, payment options, or settlement offers. Customer replies can be captured and evaluated by the decision engine to trigger follow-up actions, such as extending a payment plan or escalating to collections. This supports more controlled and personalized collections workflows.