Oracle AI Agent Studio makes it quick to build a first agent in Oracle Fusion. Building one that finance, HR and audit will trust takes longer. The partner you choose decides how much of that work gets done properly.
This guide is for CFOs, CHROs, CIOs and Oracle product owners choosing a partner to design, build, test and govern agents with AI Agent Studio for Fusion Applications. It covers what Agent Studio is, what a partner should do, picking a first use case, controls, testing, quarterly updates, a scorecard, questions and red flags. For use cases by function, see our article on AI agents for Oracle Fusion Finance and HCM.
What Oracle AI Agent Studio is
Oracle describes AI Agent Studio as a design-time environment, built into Fusion Cloud Applications, for creating, configuring, validating and deploying AI agents. Oracle aims it at Fusion customers and partners. The main points from Oracle's own pages:
- Prebuilt agents and templates. Oracle ships agents in Fusion, such as Payables and Expenses agents in finance. You can extend them with your own documents, prompts, tools and APIs, or start from a template.
- Workflows of several agents. Agents can work together on multi-step processes, with user approvals added where needed.
- Fusion data and security. Agents use Fusion APIs and knowledge stores, and apply your existing Fusion roles and access controls.
- Model choice. Oracle offers models tuned for Fusion and lets you choose from several third-party providers.
- Testing and monitoring. Oracle includes tools to test agents before deployment, evaluate quality and monitor sessions, errors and token usage.
- Cost. Oracle states Agent Studio is available at no additional cost. It also tracks token usage for premium models, so check what applies to your contract.
Oracle also runs a Fusion Applications AI Agent Marketplace, where certified partners publish agent templates that Oracle reviews and validates. Oracle offers an individual credential for AI Agent Studio skills. Current details sit in the Oracle AI for Fusion Applications documentation and on Oracle's AI for Fusion Applications page. This area changes with each release, so check the current docs rather than relying on older slides.
What a partner should do
The tool is free. The work around it is not. A good partner owns these jobs with you:
- Use-case selection. Score candidate tasks on value, data readiness, risk and effort.
- Process and control design. Decide what the agent may read, what it may do, and where a person must approve.
- Build. Extend a prebuilt agent where one fits. Build new tools or workflows only where the business case is clear.
- Test and evaluate. Build a golden test set from real questions and agree pass marks.
- Pilot and measure. Run with a small user group and compare against a baseline.
- Govern and support. Monitor, review overrides and retest after each quarterly update.
Step 1: Pick the first use case
Start small and boring. A good first agent is high-volume, rule-based and low-risk.
| Good first candidates | Poor first candidates |
|---|---|
| Supplier payment status queries | Deciding accounting treatment |
| Invoice hold explanations | Approving payments without review |
| Expense policy checks | Hiring or performance decisions |
| HR policy questions with sources | Anything needing legal judgement |
Use an AI use-case scorecard and pick one task. Check first whether a prebuilt Oracle agent already covers it. Extending Oracle's agent is usually less work to maintain than building your own.
Step 2: Design controls and human approval
Write the controls down before anyone builds. For each agent, agree:
- Scope. Which business objects and documents it can read.
- Actions. Which tools it can call, and whether each one reads or changes data.
- Approvals. Which actions need a named person to approve before anything is posted or sent.
- Security. Which Fusion roles can use it. The agent should never see more than the user.
- Refusals. What it must decline, such as requests outside scope or without access.
- Audit. What is logged and who reviews it.
People decisions need extra care. Keep decisions about individuals with people, and run a bias review. Our responsible AI checklist covers this.
Step 3: Test and evaluate
An agent that passes a demo has not passed a test. Ask your partner for an evaluation plan that covers:
- A golden test set of real questions and tasks, with expected answers checked by a named business reviewer.
- Accuracy and groundedness thresholds: answers must be supported by the Fusion record or document cited.
- Correct refusals when data is missing or the user lacks access.
- Edge cases with bad, missing or conflicting data.
- Security tests with users in different roles.
- A go/no-go gate with written sign-off.
Our AI test and evaluation plan sets out test types and thresholds. Use Oracle's built-in testing and monitoring tools where they fit, and keep the results.
Step 4: Plan for quarterly updates
Oracle updates Fusion every quarter, and Agent Studio has gained new features through 2025 and 2026. Prebuilt agents, models and tools can change. Your partner should:
- Review Oracle's readiness material for each update (ERP, HCM).
- Rerun the golden test set in the test environment before production is updated.
- Check whether changes to an Oracle agent affect your extensions.
- Decide with you which new agent features to adopt.
Partner evaluation scorecard
Score each partner from 1 to 5. Agree weights before you see proposals.
| Area | What good looks like | Weight |
|---|---|---|
| Fusion depth | Named leads who know the Finance or HCM process behind the agent | 20% |
| Agent Studio skills | Consultants with Oracle's Agent Studio credential; live walk-through | 15% |
| Use-case method | Scoring model, baseline, one task first | 15% |
| Controls | Written scope, approvals, refusals and audit design | 15% |
| Testing | Golden set, thresholds, security tests, go/no-go gate | 15% |
| Update management | Retest plan for each quarterly update | 10% |
| Delivery and hours | Overlap with your working day; named team | 10% |
Questions to ask
- Who will build our agent, and which Fusion modules do they know well?
- Will you extend an Oracle agent or build a new one, and why?
- Can you show a control design and a test set from a sample agent?
- Which actions will need human approval?
- What are the pass marks, and who signs them off?
- How do you retest after each quarterly update?
- What do we own at the end: prompts, tools, test sets and documents?
- Which of your claims about Oracle status can we check on Oracle's own pages?
Red flags
- A slick demo but no test set or pass marks.
- Agents that post, pay or change records with no approval step.
- Plans to build from scratch where an Oracle agent already exists.
- No answer on quarterly updates.
- Claims of Oracle validation or Marketplace listings you cannot find on Oracle's pages.
- Value figures promised before a baseline is measured.
- People decisions handed to the agent.
Partner selection checklist
- One first use case chosen and scored
- Prebuilt Oracle agents checked first
- Scope, actions, approvals and refusals written down
- Fusion roles and access tested
- Golden test set built with business reviewers
- Pass marks and go/no-go gate agreed
- Baseline measured before the pilot
- Monitoring and override review assigned
- Quarterly retest plan agreed
- Partner claims checked on Oracle's pages
- Ownership of prompts, tools and test sets confirmed
How Egisedge helps
Egisedge Technologies is an Oracle Partner, founded in 2019. We implement Oracle Fusion Cloud ERP, HCM and SCM, and work on AI agents, OCI and Oracle APEX + AI. We have delivered multiple Oracle projects. Our directors bring 20+ and 16+ years of Oracle finance and supply chain experience, and our HCM work is led by a dedicated HCM director, so agent design starts from the Fusion process rather than the tool.
AI Agents for Finance and AI Agents for HCM are products we have in development, and pilot places are open. Our teams work from offices in India and deliver offshore across GCC, UK/Europe, US and Australia/NZ working hours. See our Oracle AI Agent Studio services.
If you are planning a first agent in Oracle Fusion, email info@egisedge.com to scope a pilot with our team.
Frequently asked questions
What is Oracle AI Agent Studio for Fusion Applications?
It is Oracle's environment inside Fusion Cloud Applications for creating, configuring, testing and deploying AI agents. Customers and partners can extend Oracle's prebuilt agents with their own documents, prompts, tools and APIs, or build new agents and workflows. Agents work within Fusion's existing security and access controls.
Does Oracle charge extra for AI Agent Studio?
Oracle has stated that AI Agent Studio is available to Fusion Applications customers at no additional cost. Oracle has also said it tracks token usage for premium language models, so confirm with Oracle what applies to your subscription before you plan a large roll-out.
Do I need a partner to use AI Agent Studio?
No. Oracle aims Agent Studio at customers as well as partners, and many changes need no coding. A partner helps most with choosing the use case, designing controls and approvals, building a test set, running a pilot and handling Oracle's quarterly updates.
How can I check a partner's AI Agent Studio skills?
Ask which named consultants hold Oracle's individual credential for AI Agent Studio, and ask for a live walk-through in a test environment. Check any claimed Oracle Marketplace listing or Oracle validation on Oracle's own pages, not only the partner's slides.
Talk to Egisedge about AI
Tell us where you are and we'll reply within one working day with next steps.