Automate end-to-end offboarding across HR, IT, and Security.
This AI agent continually scans Odoo 18 for terminations, automatically locks Redmine and GitLab accounts on the employee’s last day, and logs each action for compliance. It then generates a concise, auditable report and distributes it to IT, HR, and Security. The entire flow runs on a schedule with no manual steps, reducing risk and ensuring timely offboarding.
Executes end-to-end offboarding across systems with auditable logs.
Schedule the offboarding check on a daily basis.
Query Odoo 18 for employees ending today.
Filter active users needing offboarding.
Lock Redmine accounts via API.
Revoke GitLab access via API.
Notify stakeholders with a summary and logs.
This AI agent replaces fragmented manual work with a predictable execution flow.
A simple 3-step flow the non-technical can follow.
Runs daily at a configured time (e.g., 5 PM on weekdays) to start the offboarding AI agent.
Queries Odoo 18 to retrieve employees whose end date is today.
For each candidate, locks Redmine via API, revokes GitLab access, writes an audit log, and sends a summary notification.
A realistic scenario showing task, time, and outcome.
Scenario: On Friday at 5 PM, Jane Doe’s end date is today in Odoo 18. The AI agent locks Redmine and GitLab accounts within minutes, logs the actions, and posts a summary to IT and HR channels. Outcome: No lingering access, auditable records exist, and security notice is updated.
Roles that gain confidence and reduce risk from automated offboarding.
Ensures timely offboarding and compliance.
Automates detection and action on end dates.
Reduces risk from orphaned accounts.
Provides auditable history and controls.
Confirms legitimate offboarding to avoid access loss.
Supports integration management and maintenance.
Connects HR, IT, and security tools to automate access control.
Reads end dates and initiates offboarding checks.
Locks accounts via API.
Revokes access via admin token.
Sends summary notifications to channels.
Delivers alerts to Teams channels.
Sends reports and alerts via email.
Six practical scenarios where automation reduces risk and manual work.
Practical answers to deployment, reliability, and security questions.
The AI agent uses the Odoo 18 API and GitLab admin tokens. It’s designed to query end dates from Odoo 18 and lock or revoke access via GitLab APIs. If you use different versions, adapt the API calls or add adapters, but always validate compatibility before production. Test in a non-prod environment to confirm endpoints and permissions, and ensure you have the necessary admin privileges before enabling automation.
Yes. The offboarding schedule is configurable in the AI agent settings. You can set a daily time (for example, 5 PM) and specify weekdays. The time zone is configurable to align with local business hours. If an end date occurs after the scheduled run, you can choose whether to process it on the next run or immediately if supported by the API. Regular scheduling helps maintain predictable offboarding windows.
The AI agent includes retry logic and error handling. If a lock call fails, it retries according to a configurable policy and logs the incident. If an account is not found, it logs a warning and continues with other users. Escalation rules can trigger alerts to a designated owner if repeated failures occur. The final status report reflects success, partial successes, and unresolved items for follow-up.
Notifications are sent via Slack or Teams channels and/or email depending on your setup. The summary includes the list of terminated users, actions taken, and any errors. Notifications target IT, HR, and Security stakeholders for rapid visibility. You can configure alert-only vs. full reports and control the cadence of summaries.
Yes. The AI agent supports adding additional integrations via a toggle-based configuration. You can connect Jira, Confluence, LDAP, and other systems with proper API access. Each new integration is presented with a clear authentication and action scope. Existing offboarding flows can be extended without rewriting the core logic.
Yes. Every step is logged with timestamp, actor (when available), and outcome. Logs are stored in your preferred target (DB, S3, Sheets, or a dashboard) and are accessible for audits. The logs include both successful actions and any retry or error events. Data retention and access controls follow your organizational policies.
Run the AI agent with admin-privileged tokens for the connected systems. Limit access to the configuration interface to trusted admins. Rotate tokens on a schedule and monitor for unusual activity. Establish a change-control process for enabling/disabling integrations and review audit logs to ensure proper usage.
Automate end-to-end offboarding across HR, IT, and Security.
