BUILD CUSTOM AI AGENTS Inside Oracle Fusion Apps
Create and customize AI agents securely.
Whitney Chamblin
Business Development Lead
AI has moved past the novelty phase. What was once generating text or images has now morphed into building smart systems that can act on your behalf. Oracle AI Agent Studio represents a major step forward by bringing agentic AI directly into the tools you already use every day.
In this article, we'll take a look at what AI Agent Studio is, how it fits into Oracle's Fusion ecosystem, and why it is such a big deal for teams across Sales, Service, Marketing, Finance, and beyond.
What AI Agent Studio Actually Is
AI Agent studio is a tool built directly into Oracle Fusion Cloud Applications, no extra license required. It lets you build AI agents that can interpret what someone says (or types), understand the business context, and then take action securely.
You can use Oracle's prebuilt agent templates, or build your own from scratch. Either way, you're not writing code. You're working within a visual interface designed for admins, not engineers.
How It Works Inside Oracle AI Agent Studio
Once you're inside Agent Studio, you'll see that its built for the people who know the system. You're designing logic, prompts, and flows using plain language and intuitive controls.
Each agent is made up of a key few parts:
- Templates or Custom Builds: Start with a prebuilt agent or create one from scratch to match your specific workflow.
- Workflow Design: Lay out clear instructions for what the agent should do, such as “After a call, update the opportunity and suggest next steps.”
- Data + Business Object Access: Agents can view and update records like Leads, Opportunities, Invoices, and Service Requests, all within your Fusion setup.
- Document Referencing (RAG): Upload supporting files, like policy documents, playbooks, or contracts, for agents to use as context when responding.
- Approval & Confirmation Logic: You define where checkpoints or user confirmations are needed before the agent takes action.
- Multi-Agent Handoff: Agents can collaborate behind the scenes, handing off tasks to each other and driving full processes forward without delays.
All actions stay within your established Fusion security and permission model.
Why It's a Strategic Tool
The fact its built into Fusion alone makes it a standout option. Most generative AI tools require major work just to get them connected to your systems. With AI Agent Studio, you’re not setting up a separate AI system, you’re extending the one you already use.
That also makes it easier to keep things aligned with how your organization actually works. Your own admins can build the tools they need, adjust them quickly, and keep everything inside the Fusion data model. That flexibility helps teams move faster while staying in control.
Use Cases Worth Exploring
We’re already seeing teams put Agent Studio to work.
It gives teams a way to build intelligent helpers that streamline repetitive tasks and remove delays from everyday work. Here are some examples gaining traction across Fusion:
Sales: Agents can recommend responses during live chats, route tickets based on priority or sentiment, and surface relevant knowledge articles in real time, helping agents resolve issues faster without toggling between tools.
Marketing: Trigger follow-up messages based on form fills or engagement scores, personalize outreach using profile data, or launch internal alerts when leads hit certain thresholds. Agents help close the loop without waiting on manual coordination.
Service: Agents can recommend responses during live chats, route tickets based on priority or sentiment, and surface relevant knowledge articles in real time, helping agents resolve issues faster without toggling between tools.
Operations: Walk employees through internal processes like contract routing, compliance signoffs, or policy changes. Instead of emailing around for help, users get guided steps directly in the system.
Finance & HR: Agents can reference uploaded documents, like benefits guides, travel policies, or expense rules, and answer employee questions without rerouting to shared inboxes or Slack threads.
What To Know Before You Build
Agent Studio is powerful, but not limitless. It’s designed for task automation and guided interactions, not for building dashboards or full custom apps.
For example:
- You won't build visual UIs or reporting tools with it.
- It doesn't include real-time transcription or emotional tone analysis.
- It's not a replacement for BI or analytics platforms.
Where it shines is in helping teams act faster: automating repetitive tasks, guiding users through workflows, and providing smart access to data and documents. Clear use cases lead to smarter agents and better results.
What We're Building at Motiv
Our team has already completed Oracle’s hands-on training and is actively building AI agents across Sales, Marketing, and Service. Rather than experimenting in theory, we're focusing on real problems that slow teams down like cleaning up CRM data after outreach and summarizing meeting notes into opportunity records.
These early agents are designed to handle routine but time consuming tasks, freeing our people to focus on higher-value work and giving us a clearer view of how Agent Studio performs in live environments.
This blog marks the first in a series where we'll share what we've built, what we've learned, and how other Fusion customers can take advantage of the same tools.
Curious About AI Agent Studio?
Agents If you're not sure where to start, we've got you. Whether it's a hands-on workshop or a quick strategy session, Motiv can help you explore the possibilities of AI Agent Studio and build something real.
Reach out to us at info@motivcx.com and let's talk about what's next.
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