--- title: Offboarding knowledge transfer plan generation agentic workflow description: The agentic workflow uses AI agents to identify, categorize, and transfer knowledge from departing employees to their managers and team. locale: en-US canonical_url: https://www.servicenow.com/docs/r/australia/employee-service-management/journey-designer/offboarding-knowledge-x-agentic-wf.html release: australia product: Journey Designer classification: journey-designer topic_type: concept last_updated: "2026-02-04" reading_time_minutes: 4 breadcrumb: [AI in Journey designer, Journey designer, Employee Journey Management, HR Service Delivery, Employee Service Management] --- # Offboarding knowledge transfer plan generation agentic workflow The agentic workflow uses AI agents to identify, categorize, and transfer knowledge from departing employees to their managers and team. When employees leave an organization, they take valuable institutional knowledge with them. The offboarding knowledge transfer plan generation agentic workflow helps preserve this knowledge by performing the following actions: - Automatically discovering documents and resources the departing employee created - Organizing the retrieved documents and resources using AI-powered categorization - Creating tasks for managers to review and transfer critical information to remaining team members The offboarding knowledge transfer plan generation agentic workflow integrates with Journey designer to create an AI-powered offboarding workflow. This agentic workflow operates in two phases: manager initiation and employee review. During manager initiation, an AI agent interacts with the departing employee's manager to determine whether knowledge transfer is needed and collect requirements. During employee review, a second AI agent presents the knowledge transfer content to the departing employee for review and approval before sharing with the manager. ## How offboarding knowledge transfer works The knowledge transfer process is triggered when an employee's offboarding journey begins in Journey designer. The system triggers the first AI agent to engage with the manager through a conversational interface. The manager-facing AI agent performs the following actions: - Retrieves employee and manager information from the offboarding journey record - Asks the manager whether knowledge transfer is needed for the departing employee - Collects the time range for knowledge retrieval based on manager input - Searches for documents that are authored by the departing employee within the specified time period - Creates a Knowledge Transfer record and generates Knowledge Transfer Resource records for each discovered document - Uses Now Assist AI to categorize the documents into meaningful groups based on content and context - Creates a Knowledge Transfer stage in the offboarding journey with assigned tasks - Provides a link to the employee journey for tracking and management When the manager approves a knowledge transfer, the system triggers the second AI agent to engage with the departing employee. The employee-facing AI agent performs the following actions: - Retrieves AI-generated knowledge transfer content including work categories and resources - Presents the content to the employee in a structured format with resource links - Requests employee approval before sharing the knowledge transfer with the manager - Completes the knowledge transfer and notifies the manager upon employee approval ## AI agents The offboarding knowledge transfer workflow uses two specialized AI agents that operate autonomously to complete specific tasks:
| **AI agent** | **Description** |
| Offboarding knowledge transfer gather inputs AI agent | Interacts with managers to collect knowledge transfer requirements. Recognizes yes or no responses to proceed with the appropriate action, collects numeric values for time ranges, and tracks conversation progress to keep the interaction moving forward. Evaluates each decision point and takes appropriate actions based on manager responses. |
| Knowledge transfer reviewer | Interacts with departing employees to facilitate review and approval of AI-generated knowledge transfer content. Retrieves work summaries organized by category, displays structured information with resource links, and manages the employee consent process before sharing information with managers. |