🔴 Oracle AI Agent Studio · Case Study

Oracle HCM AI Agents: Real-Time Leave Analytics & Smart Employee Workspaces — Live on Fusion HCM

After a full implementation cycle on Oracle Fusion Cloud, AI-powered HCM agents are now delivering real-time people insights to managers and employees — the moment they log in. No manual reports. No scheduled jobs. No configuration required from end users.

This post walks through what was built, how it works, and what the outputs look like — using representative sample data.

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What the AI Agents Do

Three agents are deployed on Oracle Fusion HCM, each surfacing a different category of people data through natural language and dynamic visualisations:

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Manager Leave DashboardMonthly leave request breakdowns, annual balance tracking per direct report, and team leave rankings — generated on demand, rendered as live charts.

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Employee Help WorkspaceA personalised priority inbox combining pending approvals, active learning assignments, and offboarding journeys — intelligently surfaced, not manually searched.

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Absence Trend AnalyticsAutomated charts showing leave taken by absence type across the year, with AI-generated key insights delivered without any report scheduling.

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Sample Agent Outputs

⚠️ The outputs below use anonymised sample data. No real employee or client information is shown.

Manager View · Team Leave

Monthly Leave Requests — 2026

Direct report: E. Carter, Staff Nurse

Jun

2

Aug

1

Others

Jan–May, Jul, Sep–Dec: 0 requests

Manager View · Team Balance

Annual Leave Balance — 31 Dec 2026

Direct report leave balance summary

E. Carter

19.02 d

Hours152.16 hrs

Days19.02 days

As-of31/12/2026

Employee View · Help Workspace

Needs Attention & In Progress

Waiting for input

Orientation Video

Learning · 2026-08-13

Active

Clinical Preceptorship

Learning · 2026-07-04

Active

Offboarding Journey (10)

Journey

Initiated

Awaiting approval (5)

Annual Leave · 8 hrs

Leave of Absence

Pending

Time Permission · 1 hr

Leave of Absence

Pending

Employee View · Absence Trends

Leave by Absence Type — 2026

Approved & completed leave (Jan–Dec 2026)

Sick Leave

6

Annual Leave

4

Sick Leave: 9 calendar days total duration

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Technical Stack

The entire solution runs on Oracle's native cloud stack — no custom middleware, no third-party tools:

• Oracle AI Agent Studio — Agent definition, NL query handling, data orchestration
• Oracle Fusion HCM REST APIs — Live leave, absence, learning, and journey data
• Oracle Redwood UI — Agent surface embedded in HCM pages
• BIP / OTBI — Report data sources for balance and trend analytics
• VBCS Extensions — Custom UI components where Redwood out-of-the-box falls short

The key insight: Oracle AI Agent Studio removes the need for a server-side integration layer. The agent itself handles data retrieval, NL-to-query mapping, and response rendering. Delivered to production with zero changes to the core HCM application.

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What This Means for HCM Teams

Traditional HCM reporting requires users to navigate to reports, select parameters, run the report, and wait. AI Agents flip this: the right data is surfaced proactively, in context, in the format the user needs it — the moment they arrive on the page.

For managers this means instant visibility into team leave patterns without building a single query. For employees, it means one intelligent workspace that replaces multiple navigation steps across HCM modules. For HR teams, it means eliminating a class of ad-hoc reporting requests entirely.