Is it possible to orchestrate a complete GDPR Right to Erasure workflow where a deletion request in Genesys Cloud triggers a corresponding record deletion in ServiceNow, rather than just soft-deleting or masking the data in the CRM?
We have a robust integration using Genesys Cloud Data Actions to push conversation metadata and ticket updates to ServiceNow REST APIs. The current flow handles incident creation and status updates seamlessly. However, when a customer exercises their right to be forgotten, we need to ensure that all PII associated with that contact is purged from our ticketing system as well.
The challenge lies in the asymmetry of the Data Action capabilities. While pushing data to ServiceNow is straightforward, configuring a Data Action to execute a DELETE HTTP method against a specific ServiceNow incident record based on a Genesys Cloud trigger (like a ‘Delete Contact’ event) seems problematic. The Data Action builder appears optimized for POST and PUT requests. Attempting to map a dynamic incident_number variable into the URL path for a DELETE request often results in malformed endpoints or authentication failures if the credentials are not scoped correctly for write/delete operations.
Furthermore, we are concerned about the audit trail. If we delete the record in ServiceNow, we lose the link to the original conversation in Genesys Cloud analytics. We need a mechanism that either:
- Successfully executes a
DELETE request to ServiceNow via Data Actions with proper error handling (checking for 204 No Content vs 404 Not Found).
- Or, alternatively, updates the ServiceNow record to a ‘GDPR Purged’ state with masked PII fields, ensuring compliance while retaining the structural integrity of the ticket for reporting purposes.
Has anyone successfully configured a Data Action to perform a DELETE operation against an external REST API like ServiceNow? If so, how did you handle the dynamic URL construction and authentication headers? We want to avoid building a custom middleware service just to handle this specific deletion flow if the native Data Action capability supports it. Is it possible to configure a Genesys Cloud Data Action to execute a DELETE HTTP method against a ServiceNow REST API endpoint for GDPR compliance, and what is the recommended approach for handling dynamic record identifiers in the URL?
Check your Data Action configuration for the HTTP method and payload structure. A GDPR erasure requires a DELETE request to the specific ServiceNow incident endpoint, not a PUT with null values. The Genesys Cloud Data Action framework supports HTTP DELETE, but you must ensure the ServiceNow table allows direct deletion and that the API user has the delete role.
Also, verify the URL parameterization. If you are using dynamic IDs from the Genesys Cloud conversation object, ensure the expression syntax is correct. A common error is passing the ID as a query parameter when the ServiceNow REST API expects it in the path for DELETE operations.
Consider adding a logging step before the deletion action to audit the request. This helps track compliance requirements.
- ServiceNow REST API DELETE method requirements
- Genesys Cloud Data Action HTTP configuration
- API user role permissions for deletion
- GDPR audit trail logging
Make sure you handle the ServiceNow 30-second Data Action timeout. Direct deletion often fails if the incident has many attachments. Use a POST to glide.delete instead.
POST /api/now/table/incident/{sys_id}/delete
This async approach prevents Genesys from timing out while ServiceNow processes the background job.
If you check the docs, they mention that while the glide.delete endpoint is powerful, it requires careful handling of the payload structure to avoid silent failures, especially when migrating from systems like Zendesk where record deletion was often handled via simple API calls without such strict transactional requirements. Coming from a Zendesk background, we are used to straightforward ticket deletion, but Genesys Cloud’s Data Actions demand precision in how we construct these HTTP requests to ensure compliance and data integrity.
The suggestion above about using POST /api/now/table/incident/{sys_id}/delete is spot on for avoiding timeouts. However, you must ensure the payload explicitly confirms the action. ServiceNow expects a specific JSON body to acknowledge the deletion request. If you send an empty body or a malformed JSON object, the API might return a 200 OK but fail to actually delete the record, leading to GDPR non-compliance.
Here is the corrected payload structure to include in your Genesys Cloud Data Action configuration:
{
"delete": true,
"sys_id": "{{sys_id}}"
}
In your Genesys Cloud Data Action setup, make sure the Content-Type header is set to application/json. Also, remember that Genesys Cloud Data Actions have a timeout limit, so if the ServiceNow instance is under heavy load, consider adding a retry policy with exponential backoff. This is a significant shift from Zendesk, where we didn’t have to worry about such granular HTTP method constraints. By explicitly setting "delete": true, you align with ServiceNow’s best practices for asynchronous deletion, ensuring that the right to erasure is honored without disrupting the Genesys Cloud conversation flow. Always test this in a sandbox environment first to verify that the deletion cascades correctly across related tables.
You might want to look at how the outbound API handles the contact list side of things. deleting the service now ticket is only half the battle. if you don’t update the do-not-contact list in genesys cloud, the outbound campaign will keep trying to call that number. it’s a compliance risk.
i usually chain a second data action right after the service now delete. the first one hits the /api/now/table/incident/{sys_id} endpoint with a DELETE method as mentioned above. once that returns a 204 no content, the flow triggers the second action. this one calls the /api/v2/outbound/contacts/{contact_id} endpoint. wait, actually, for gdpr erasure, you probably want to remove the contact from the list entirely or mark it as do_not_contact: true.
here’s a snippet of the second action config. it’s a PUT request.
{
"method": "PUT",
"url": "https://{{genesys_host}}/api/v2/outbound/contacts/{{contact_id}}",
"headers": {
"Content-Type": "application/json"
},
"body": {
"do_not_contact": true,
"do_not_contact_reason": "GDPR Right to Erasure Request"
}
}
this ensures that even if the crm record is gone, the telephony engine respects the choice. also, make sure your service now api user has the sn_contact_center.admin role if you’re pushing back to genesys via webhook. without it, the callback fails silently.
we’ve seen issues where the service now delete succeeds but the genesys update fails due to network timeout. adding a retry policy in the data action helps. set retries to 3 with exponential backoff. it’s not pretty but it works. the key is to treat the gdpr request as a distributed transaction. both systems must acknowledge the change. otherwise, you’re just deleting data in one silo while the other keeps calling. check your audit logs in service now to confirm the delete happened before proceeding.