Monitor Entra group membership, fetch and normalize user data, and automatically synchronize with Zammad by creating, updating, or deactivating users as needed, with logging and notification.
The AI agent continuously monitors Entra groups, converts user data into a Zammad compatible universal object, and synchronizes the Zammad user directory by creating new users, updating existing records, and deactivating users who are no longer in Entra. This automation keeps identity data accurate, reduces manual maintenance, and provides an auditable trail of changes. Operators receive logs and notifications when actions occur.
Automates data flow between Entra and Zammad with precise field mapping.
Fetch Entra group members from the designated Entra group.
Create a universal user object with email, phone, and name fields.
Compare Entra data with Zammad and identify needed updates.
Add new users from Entra to Zammad.
Deactivate Zammad users who are no longer in the Entra group.
Map custom fields and enrich Zammad profiles (entra_key, entra_object_type).
The automation eliminates manual data reconciliation between Entra and Zammad, delivering consistent records and reducing errors. It continuously enforces latest group membership, ensures new hires are onboarded in Zammad, and promptly removes access for departing employees.
A simple three step flow that anyone can follow.
Retrieve users from the designated Entra group and assemble a candidate list.
Normalize user data into a Zammad compatible object with mapped fields and custom attributes.
Compare Entra data to Zammad, create or update users, deactivate removed users, and log changes.
A practical scenario showing end-to-end execution.
Scenario: A daily sync runs at 02:00. The AI agent detects three new hires in Entra group IT Support and creates three Zammad users with mapped fields and non-null entra_key values. It updates five existing Zammad users with updated department data and deactivates one user no longer in Entra. The agent logs all actions and sends a notification to IT admins.
Roles that gain value from this automation.
Keeps user data in Entra and Zammad aligned across systems.
Gets up-to-date user records for faster ticket resolution.
Maintains accurate access states and auditable activity logs.
Automates onboarding and offboarding data flow to support workflows.
Extends and customize field mappings for additional workflows.
Reduces manual workload and ensures consistent records at scale.
Tools involved and how the AI agent uses them inside each tool.
Fetch group members and identity data; the AI agent uses permissions to access group data and pull updates.
Manage user records via the API: create, update, deactivate; apply mapped and custom fields.
Common scenarios where this AI agent adds value.
Practical answers to common concerns about the AI agent.
The AI agent synchronizes user identity data including email, name, and key custom fields like entra_key and entra_object_type. It also reflects group membership from Entra onto Zammad to ensure alignment. Updates, creations, and deactivations are logged for auditing, and field mappings can be customized to meet your data model.
The sync can be scheduled to run at intervals that fit your security and operational needs, such as daily or hourly. It can also be triggered manually as needed. Each run generates a detailed log of actions and outcomes so you can verify results. You can adjust the cadence based on org size and change frequency.
Yes. If a user is removed from the Entra group, the AI agent will deactivate the corresponding Zammad user to prevent access. Deactivation is part of the end-to-end lifecycle management and is auditable through the action log. You can customize the deactivation criteria if needed.
Custom fields are mapped from Entra to Zammad as part of the universal user object. You can specify mappings for fields such as entra_key and entra_object_type. The agent preserves data types and prompts for field additions when required.
The AI agent requires read access to Entra group data and write access to Zammad user endpoints. You should configure API credentials with least privilege, strictly limiting actions to user management and field mapping. Regularly rotate credentials and monitor API activity for security.
Yes. Every create, update, and deactivate action is logged with timestamp, user in Entra, and changes made in Zammad. Logs support compliance reviews and troubleshooting. Notifications can be sent to a channel of your choice for visibility.
Absolutely. The AI agent supports custom field mapping and can be extended to additional fields as your data model evolves. You can adjust mappings without changing the core workflow, enabling gradual enhancements while preserving stability.
Monitor Entra group membership, fetch and normalize user data, and automatically synchronize with Zammad by creating, updating, or deactivating users as needed, with logging and notification.
