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Benefits Enrollment for Hospitality Teams: Using Oracle HCM AI Agent

Datavail building an AI-powered Benefits Advisor Agent for a leading hospitality company struggling with complex, time-consuming benefits inquiries during open enrollment.

AI-Powered Benefits Advisor Agent: Faster, Clearer Benefits Decisions for Hospitality Employees

When employees have questions about eligibility, coverage, dependents, or plan differences, HR teams often spend hours each week clarifying policies and digging for answers. This demo shows how a major hospitality brand used an AI Benefits Advisor Agent—integrated into Oracle Fusion Cloud HCM—to automate real-time benefits guidance for thousands of employees working across resorts, properties, and seasonal roles.

The AI agent delivers personalized, accurate responses in seconds, reducing the burden on HR while creating a modern, intuitive benefits experience for employees.

  • Instant, personalized benefits guidance from a simple chat interface

    Employees get real-time answers about medical, vision, dental, and travel coverage—based on their exact role, eligibility, dependents, and current elections.

  • Accurate Interpretation of Complex, Hospitality-Specific Benefits Policies

    The agent is trained on organization-specific rules including seasonal worker eligibility, contractors, cross-property transfers, and employee housing benefits.

  • Secure AI Architecture Using OCI and Fusion Extensibility

    A hybrid LLM approach keeps sensitive employee data private while enabling fast, accurate responses.

  • Dramatic Time Savings for HR Teams

    The agent eliminates hours of manual review and repeated inquiries—giving HR more time for strategic support.

  • Real Demonstration of How the Agent Surfaces Plan Details, Compares Options, and Guides Employees Through Enrollment

    Employees can ask natural-language questions and instantly receive verified responses with source-linked citations.

Watch the Full Demo to See the AI Benefits Advisor Agent in Action

Frequently Asked Questions

How does the AI agent deliver accurate benefits guidance without exposing sensitive data?

The solution uses secure LLMs within OCI combined with Fusion’s extensibility to process policies and data safely, ensuring sensitive employee information remains protected while still enabling accurate, real-time guidance.

Can the AI agent support complex eligibility scenarios like contractors, seasonal workers, and transfers?

Yes. Hospitality-specific rules are built into the agent for precise, role-based recommendations, including contractors, seasonal workers, cross-property transfers, and other non-standard employment scenarios.

What efficiency improvements can HR expect from AI-driven benefits support?

Organizations see dramatic reductions in open enrollment inquiries, improved employee satisfaction, and faster benefit decisions as the agent absorbs repetitive questions and provides consistent, policy-aligned answers at scale.

Show Transcript

Speaker 1: This chart shows some of the KPI features that we're using. I won't go through all of these, but it just shows things that we're monitoring, or data that we're capturing. And then our actions on the right show we can set triggers in Accelatis just so that we get notifications if we reach a certain threshold. If you look at an example on the bottom for HFM, we're tracking the task and data audit logs to make sure that those don't get too big. This slide shows an example of those triggers or the emails that we get from Accelatis. My self and some of the other admins will get an email saying that the audit log reached a certain threshold, we need to go in and archive it. Then we run through our process that does that. It's really nice that we get these during the close or whenever. It's good and bad because you can get nervous when you start seeing them, but you can be proactive about doing what you need to do to minimize any impact on the users. Speaker 2: There is an opportunity that we haven't discussed, though, is that you can take that trigger and then tie it to an automation drop to actually do the archiving. So, it depends on your internal process. Some of the value is a trigger could kick off an automation job that could remediate the problem. And it just depends on what your internal processes are and whether you want to handle it annually or you want the system to do some of it for you. But a lot of these things can be connected pretty easily depending on and how far you want to go. Speaker 1: This is one of our real life examples of how we use the health checks to troubleshoot an issue. We had several HFM users reporting slowness and poor response time. A lot of times you'll get an email, "Hey, HFM is slow". It's like, okay, can you give me a little more detail, but when we start seeing multiple users saying that, okay we need to go check something out, we run right to Accelatis. As an administrator, I try logging into HFM. I can get in, but I can't navigate to system messages, so even I'm having issues. I have access to everything. So, we ran the health checks and the results of that are up here showing that the user simulation feature generated a failure and it also showed lengthy response times, not what we would normally see. The activity analysis feature showed that HFM was having issues with a specific sequel table related to HFM. From there, we go to our DBA and the DBA found dead locks on the HFM data audit table. As an admin, when I couldn't get into the system messages or the audit logs, that's why there was a dead lock on the table. Then I wasn't able to even get back into the application. Then we performed a restart. We stopped services, and rebooted, and everything came back okay. We logged in [inaudible 00:03:12] Oracle on the specifics of the dead lock on the table and We were able to provide them with all the logs and everything that they needed. It just shows how Accelatis helped us get right to the root of the area and how Oracle ... we were able to quickly provide Oracle with what they needed so they could research it.