On 26 October, at Oracle AI World in Las Vegas, Oracle showed supply chain leaders what the next phase of enterprise AI looks like: software that doesn’t just flag a problem but works out the fix and carries it through once a person signs off.

The launch was Oracle Fusion Claw, a governed runtime that lets Fusion Agentic Applications research, model, simulate and continuously replan complex work. The first wave is aimed squarely at supply chain. Oracle co-CEO Mike Sicilia set the tone on stage: “AI should allow you to barely think about software at all.”

For every business running Oracle Fusion SCM, that raises a practical question. Not what can these agents do? but are they working for us yet?

What Oracle announced

Three Claw-powered agentic applications now sit inside Oracle Fusion Cloud Supply Chain & Manufacturing:

• Supply Planning Allocation decides how scarce materials and capacity should be shared across competing demand. It weighs production lines, work centers and components, compares scenarios, and hands planners an allocation plan to review and approve.
• Shipment Load Planning hunts for consolidation opportunities across timing, capacity, cost and service commitments, then moves authorized plans towards execution to cut freight spend.
• Procurement Spend scans spend, contract, and purchasing data to catch maverick buying and contract leakage, explains why it happened, sizes the savings, and proposes fixes for the team to approve.

These sit on top of the embedded SCM agents Oracle rolled out earlier this year, and all of it can be extended through Oracle AI Agent Studio for Fusion Applications. Oracle also says the platform ships with observability, ROI tracking, and safety controls built-in.

Why this is different

Most enterprise AI so far has been advisory. It summarizes, predicts and recommends, and then a human does the actual work in five different screens.

Oracle is now describing Fusion as a “system of outcomes”. People set the objective, the limits of authority and who is accountable. The agentic application coordinates the steps, compares the trade-offs and executes what has been approved, within the same roles and controls a human user would have.

The payoff is easiest to see in money. At the keynote, Oracle walked through a shipping company that saved $58,000 on transport after the AI combed through its data for consolidation options. That is the kind of win planners know is buried in their data but rarely have the hours to dig out.

The catch: agents don’t switch themselves on

Here is the uncomfortable truth we see across Fusion estates. Oracle ships powerful AI capability every quarter, and most organisations use only a fraction of it. Agents arrive in the release; they don’t arrive in the business.

An agent that allocates supply or approves load plans is only as good as what sits underneath it:

• Clean, connected data. Allocation and spend agents reason across planning, inventory, supplier and contract data. Gaps or silos produce confident but wrong answers.
• The right guardrails. Someone has to define what an agent may decide alone, what needs approval, and who approves. That is security roles, approval rules and policy, configured properly.
• Release readiness. New agents land through quarterly updates. Without testing and enablement, they stay dormant.
• Proof of value. Leadership will ask what the agents saved. That needs baselines and tracking from day one.

How Clover FAM turns on Oracle AI agents

This is exactly the gap Clover FAM, our Oracle Fusion application managed services, is built to close. Go-live is the starting line, not the finish.

Our job is to keep Fusion current, compliant, and getting smarter every quarter, and to activate the AI capabilities, you already have access to without loading more work onto your team.

For supply chain agents, that means:

1. Agent readiness check. We map which Oracle SCM agents fit your processes, what data and configuration each one needs, and where the quickest ROI sits.
2. Guardrails before autonomy. We set up roles, approval thresholds and policies so agents act within the authority you define, with a human in the loop where it matters.
3. Quarterly update adoption. Every Fusion release is tested, and new agents are enabled deliberately instead of being left switched off.
4. Extend with Agent Studio. Where Oracle’s prebuilt agents stop, we build and manage custom agents around your own workflows.
5. Measure and improve. We track adoption and outcomes such as freight cost, spend leakage and planner hours, so every agent earns its place.

We bring 30+ years as an Oracle partner, 1,700+ Oracle certifications and 50+ Fusion implementations to this. We also run Oracle Fusion for our own business, so we live with every quarterly update ourselves.

Three questions for your next leadership meeting

1. Which Oracle AI agents are available in our Fusion environment today, and how many are actually switched on?
2. Where are we still losing money to manual work: freight consolidation, scarce-supply allocation, or off-contract spend?
3. If an agent acted on our behalf tomorrow, are our approval rules and data ready for it?

If any answer is “we’re not sure”, that’s the conversation to have now. Talk to the Clover FAM team for a no-obligation agent readiness session or write to us at marketing@cloverinfotech.com .

What would you hand to an AI agent first in your supply chain? Tell us in the comments.

#OracleFusion #SupplyChain #AgenticAI #OracleAIWorld #Connectech

Sources: Oracle press release, 26 Oct 2026 · The National, 26 Oct 2026 · Clover Infotech Oracle Fusion services