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AI-Powered Journeys Assistant in Oracle HCM 26A: Features, Setup, and Business Benefits

Explore the AI-Powered Journeys Assistant in Oracle HCM 26A. Learn its features, setup process, and business benefits for improving HR efficiency and employee experience.

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  • AI-Powered Journeys Assistant in Oracle HCM 26A: Features, Setup, and Business Benefits
AI-Powered Journeys Assistant in Oracle HCM 26A: Features, Setup, and Business Benefits
March 6, 2026

AI-Powered Journeys Assistant in Oracle HCM 26A: Features, Setup, and Business Benefits

The AI-Powered Journeys Assistant in Oracle HCM 26A enables employees, managers, and HR teams to interact with Journeys using natural language instead of navigating multiple pages. Built on Oracle’s AI Agent capabilities and large language models, the assistant understands user questions, retrieves relevant journey data, and delivers quick, actionable responses. By providing summarized insights and direct links to related tasks or journeys, it simplifies navigation, saves time, and improves the overall user experience in managing employee lifecycle activities such as onboarding and transitions.

 

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What Journeys Assistant can do

Instead of manually filtering in the Team Journeys or Organization Journeys pages, users can simply ask questions in plain language and let the assistant do the heavy lifting. Typical queries include:

  • “Show me open, completed, or overdue journeys for my team.”
  • “How many tasks are pending for my direct reports in onboarding?”
  • “List all journeys for this employee.”
  • “Which tasks are due today or in the next 3 days in onboarding?”
  • “Show overdue onboarding journeys for my direct reports.”

The assistant not only returns the matching journeys or tasks, but also provides deep links that take the user directly into the relevant Journeys page so they can review or update details without navigating through multiple tabs.

 

Why use the assistant instead of only the UI

  • From a userexperience standpoint, the Journeys Assistant changes Journeys from a searchandfilter activity into a conversation.
  • It uses retrievalaugmented generation (RAG) to pull in the most relevant journey and task data, and then feeds that into the LLM so the response is grounded in actual system records rather than generic text.
  • The LLM layer understands freeform questions, summarizes overall journey or task status, highlights upcoming or overdue items, and aggregates information across teams in a single answer.
  • Responses are short and actionable, with direct navigation links, which reduces training needs for new or infrequent users and minimizes time spent manually filtering grids.
  • Managers and HR specialists can quickly get a tailored view of journey progress based on their role and reporting hierarchy, without having to know where every option sits in the UI.
  • A common pattern is an HR manager asking a series of prompts—first for overdue onboarding journeys for direct reports, then for all open journeys in the team, and finally for completed onboarding journeys—and the assistant responding each time with the exact list plus links into the pages where they can review or maintain the data.

 

Enabling and configuring Journeys Assistant

From an implementation perspective, Journeys Assistant is delivered as a preconfigured AI agent template, which you extend rather than build from scratch.

At a minimum you must:

  • Set profile option ORA_ASE_SAS_INTEGRATION_ENABLED (Enable Security Console External Application Integration) to Yes, and configure the necessary permission groups for the roles that will design or use AI agents.
  • In AI Agent Studio, create a new agent based on the delivered Journeys Assistant template, then adjust instructions, data access, and behaviour as needed for your organization.

Once configured, you embed the assistant in the relevant Journeys experiences (for example, as a helper for team journeys) so end users can start interacting with it.

 

Important tips and design considerations

There are a few technical and functional points to keep in mind when rolling this out:

  • The feature depends on Oracle Search for Journeys; if search is not enabled and indexed correctly, the assistant will not be able to find journeys and tasks.
  • Users can ask about journeys and tasks for their team, their direct reports, or the broader organization; what they actually see in results is governed by your security model. For example:
  • “My team” returns data for all reports in the manager’s hierarchy.
  • “Direct reports” restricts to only immediate reports.
  • If no audience is specified, the assistant can search more widely, but still within the user’s security boundaries.

From a security standpoint:

  • The assistant fully respects rolebased access control, so users only see journeys and tasks they are allowed to view in the standard UI.
  • However, localization rules or bespoke business rules built in Visual Builder Studio are not enforced by the agent at this time, so you should review your design and communication accordingly.

 

Business Benefits

1. Faster Access to Information: Managers and HR teams can quickly retrieve journey and task details using natural language queries instead of navigating multiple pages. This reduces the time spent searching for information and improves decision-making speed.

2. Improved Productivity: By automatically summarizing journey statuses and highlighting pending or overdue tasks, the assistant helps users focus on actions that require immediate attention, reducing manual monitoring and administrative effort.

3. Better Employee and Manager Experience: The conversational interface makes Journeys easier to use, especially for new or infrequent users. It minimizes the need for extensive training and simplifies how users interact with HR processes.

4. Data-Driven Visibility: The assistant aggregates journey information across teams and reporting hierarchies, giving HR leaders and managers a clearer view of onboarding progress, task completion, and overall journey performance.

5. Secure and Role-Based Access: The assistant respects Oracle HCM’s existing role-based security model, ensuring users only access journeys and tasks they are authorized to view while still benefiting from AI-powered insights.

 

Conclusion

The AI-Powered Journeys Assistant in Oracle HCM 26A makes it easier for employees, managers, and HR teams to interact with Journeys using natural language. By quickly retrieving relevant journey and task information, it reduces the need for manual searching and simplifies navigation within the system.

With AI-driven insights and secure access to data, the assistant helps organizations track progress, identify pending tasks, and take timely action. This improves efficiency and creates a more intuitive experience for managing employee lifecycle journeys.

 

Unlock the Power of AI in Oracle HCM with Kovaion

 

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Ready to enhance your Oracle Fusion HCM experience with intelligent capabilities like the AI-Powered Journeys Assistant? Partner with Kovaion to seamlessly implement and optimize AI-driven HR solutions that simplify workforce processes and improve employee experiences. With deep Oracle expertise and proven implementation frameworks, Kovaion helps organizations configure, deploy, and scale innovative HCM features that drive efficiency and smarter HR operations.

 

Author: Sankalp Shukla, Oracle HCM Cloud Consultant

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