Agentic AI Compare

Oracle and Lima Juno, question by question.

Oracle and Lima Juno — Agentic AI both bring agents to supply chain work, and each of them starts from a different place.

OracleLima JunoData lives inFusionSemantic modelbuilt for FusionAsk Select AI aquestionAgent Studiobuilds the flowAction runs as aFusion writeRegister datawhere it livesMap to thesupply chainontologyAsk in plainlanguageAct at the levelyou setLearn and auditevery decisionthe upper lane follows Oracle’s own public material · checked 19 September 2026
How each one works, left to right. The upper lane follows Oracle’s own public material; the lower lane is Juno. Checked 19 September 2026.
9
questions asked of both products on this page
method
7
dated public sources behind the Oracle column
catalogue
19 Sep 2026
the day every source on this page was checked
method
A0–A4
the autonomy levels you set for each Juno agent
product
In their own terms

What Oracle describes today

Drawn from the numbered sources at the foot of this page.

Oracle bundles SCM agents and Fusion Agentic Applications directly into Fusion Cloud, working natively on Oracle's own data model and security framework, while Fusion Data Intelligence and Select AI answer questions in plain language over Fusion and Oracle database data. AI Agent Studio adds natural-language composition, approvals and a partner marketplace. Gartner names Oracle a Leader in both its 2026 quadrants for Supply Chain Planning Solutions [1][7].

ProductFusion Cloud SCM agents and AI Agent Studio
GroupSupply chain planning and execution suites
Public sources used7, each checked on 19 September 2026
The nine questions

The same nine questions, answered twice

Numbers in brackets point to the numbered sources at the foot of the page. The line under each question says what a complete answer contains.

1 · Where must the data live for questions and agents to work?

A complete answer names the systems the data has to be copied into, and the systems that are read where they stand.

OracleOracle's SCM agents and Fusion Agentic Applications run natively on the Fusion data model itself, while Fusion Data Intelligence pipes Fusion ERP, HCM, SCM and CX data into an Oracle-managed warehouse for its own semantic model and KPIs. A customer's data reaches either layer once it lives inside Oracle Fusion [1][2][3].
Lima JunoYour rows stay where they are. Juno registers tables from the planning suite, the ERP and the other systems through the Lima data fabric and reads them in place, joining them in one answer.

2 · How far does it reach into SAP, Oracle and planning systems?

A complete answer names the interface used for each system and says which of them are live today.

OracleOracle's agents are built for its own Fusion applications and reach into external systems through AI Agent Studio's MCP and A2A connections; Select AI separately covers the Oracle database, database links, external tables and Iceberg files, so reach beyond Oracle's own estate runs through these named connectors [4][5].
Lima JunoMore than 40 connectors cover SAP ECC and S/4HANA, Oracle Fusion and E-Business Suite, planning suites, warehouse systems, lakes, databases, files and REST services. One question can join several of them, and the one agent in production, the PO cancellation agent, runs on federated ERP data the same way.

3 · How is the shared meaning, the semantic model or ontology, built, and by whom?

A complete answer says what arrives ready, what your team builds, and how long that modelling work takes.

OracleFusion Data Intelligence ships a semantic model and key measures pre-built for Fusion data, and Oracle states this model can be extended; Select AI's commands, such as one that explains the generated query, let a person see how an answer was built from that same grounding [2][6].
Lima JunoLima’s supply chain ontology arrives filled in: materials, plants, suppliers, orders and stock. Juno proposes a mapping for each registered column with a confidence and a reason; your team confirms, adjusts and extends it.

4 · How do business users ask questions, and is the working shown?

A complete answer shows the question, the query that ran, the sources read and the access rules applied.

OraclePeople ask a question in natural language through the Oracle Analytics AI Assistant or Select AI; Select AI's own commands can show the underlying query and narrate the answer in plain language, and its feedback loop for correcting a mistaken query stays limited to Oracle's newest database release [6][2].
Lima JunoPeople ask ChatLima in plain language. Each answer shows its working: the ontology terms used, the systems read, the seconds taken and the query itself, under the asking person’s row and column access.

5 · How are agents and rules defined, and by whom?

A complete answer says who writes a rule, in which language, and how it is reviewed before it runs.

OracleOracle builds and ships its own SCM agents and Fusion Agentic Applications, with AI Agent Studio giving a customer natural-language composition, templates and a partner agent marketplace to shape or add further agents on top [1][4].
Lima JunoA planner writes the policy in plain language; the Planner Agent turns it into a reviewable planning table, simulated on past data, and the Lima Rules Engine executes the published version the same way every time. That is how the one agent in production, the PO cancellation agent, runs; Lima’s agent blueprint designs 960 further roles, yet to be built.

6 · How is autonomy set, and how do approvals work?

A complete answer gives the levels available, who approves what at each one, and how a level is raised and lowered.

OracleOracle states that its agentic applications progress routine work on their own inside established guardrails and surface exceptions for human judgement; AI Agent Studio adds approval workflows and oversight controls, though a graded, numbered autonomy setting comparable to Lima's A0 to A4 scale stays undocumented on the pages reviewed [1][4].
Lima JunoEach agent carries a level you set, A0 to A4. At A2 a named person approves every action; at A3 the agent acts inside value, budget and confidence limits and sends exceptions to people. The level is one of eight settings on an agent, each set by a named person.

7 · How do actions reach the ERP, and is each write confirmed?

A complete answer names the interface for each ERP and says where the acknowledgement of a write is kept.

OracleActions from Oracle's SCM agents run as native Fusion transactions inside Oracle's own security framework, so a write reaches the same system holding the record directly; a separately stated acknowledgement step for each write stays undocumented on the pages reviewed [1][3].
Lima JunoWrite-back into Oracle uses REST resources and interface tables, and into SAP uses released APIs and BAPIs, from one rule store. It starts per application after a confirmed test write, and every write keeps the acknowledgement.

8 · How does it learn from people’s decisions, and what is audited?

A complete answer says what is recorded for each decision and how that record shapes the next recommendation.

OracleAI Agent Studio offers pre-deployment evaluation, observability and an ROI dashboard for reviewing how agents perform over time; a documented record tying one person's individual accepted or overridden recommendation to a later audited outcome stays undocumented on the pages reviewed [4].
Lima JunoEvery accept, edit and override is stored with the rule version, the facts at that moment and the outcome, so the next recommendation improves. The audit trail holds signal, reasoning, limits, approval, action and acknowledgement for each run; in production, 100% of the cancellation agent’s actions trace to a rule.

9 · What is the pricing unit, is there a trial, and where do analysts place it?

A complete answer names the unit of charge, the route to try it, and the analyst reports that cover the category.

OracleOracle bundles its prebuilt SCM agents and Fusion Agentic Applications within a Fusion subscription, and a Free Tier offers two Always Free Autonomous databases plus $300 of credit for thirty days for Select AI [5]. Gartner names Oracle a Leader in both its 2026 quadrants for Supply Chain Planning Solutions [1][7].
Lima JunoJuno is licensed with the Lima platform and priced per engagement. The token manager budgets and meters every model call, per agent and per team. Twenty use cases are worked through on this site, one page each, and the analyst guide sets out the markets these products sit in.
Fit

When to choose Oracle

Situations in which Oracle’s own product is the better first move.

You already run their productOracle Fusion customers ready to run prebuilt SCM agents on the same data model and security framework their ERP already uses.
Their model is the right targetTeams that want a semantic model and key measures pre-built specifically for Fusion ERP, HCM, SCM and CX data.
Analyst placement weighs heavilyBuyers who value Oracle's Leader placement in both 2026 quadrants for Supply Chain Planning Solutions.
Answers built into the databaseOrganisations wanting query commands, such as an explain step and a plain-language narration, built into the database layer itself.
Beside them

What Juno adds

Many clients keep Oracle and add Juno beside it; these are the things it brings.

Each card links to the capability page that shows the mechanism.

Questions
Can we run both products?

Yes, and many estates do. Juno registers Oracle’s data beside the ERP and the planning system, answers questions across all of them and runs agents at the level you set for each one.

Where do the Oracle answers come from?

From Oracle’s own public pages, press releases and documentation, listed at the foot of this page with their publication dates. Where the public material leaves a point open, the answer says so.

How current is this page?

Every source was checked on 19 September 2026. Each vendor releases new agent features often, so treat a page older than a quarter as a starting point for the briefing.

Sources

Every claim, with its publisher and date

The Oracle column rests on public material only.

  1. Oracle, Oracle introduces Fusion Agentic Applications for finance and supply chain, 9 April 2026, checked 19 September 2026 · https://www.oracle.com/news/announcement/oracle-introduces-fusion-agentic-applications-for-finance-and-supply-chain-2026-04-09/
  2. Oracle, Fusion Data Intelligence product page, undated, checked 19 September 2026 · https://www.oracle.com/fusion-data-intelligence/
  3. Oracle, Oracle AI agents help boost supply chain efficiency and strengthen resiliency, 10 February 2026, checked 19 September 2026 · https://www.oracle.com/news/announcement/oracle-ai-agents-help-boost-supply-chain-efficiency-and-strengthen-resiliency-2026-02-10/
  4. Oracle, Fusion AI agents page, undated, checked 19 September 2026 · https://www.oracle.com/applications/fusion-ai/ai-agents/
  5. Oracle, Select AI product page, undated, checked 19 September 2026 · https://www.oracle.com/autonomous-database/select-ai/
  6. Oracle Blogs, Select AI by release: a quick guide to 26ai and 19c capabilities, 1 May 2026, checked 19 September 2026 · https://blogs.oracle.com/machinelearning/select-ai-by-release-a-quick-guide-to-26ai-and-19c-capabilities
  7. Oracle, Oracle named a Leader in two 2026 Gartner Magic Quadrant reports for Supply Chain Planning Solutions, 8 April 2026, checked 19 September 2026 · https://www.oracle.com/news/announcement/oracle-named-a-leader-in-two-2026-gartner-magic-quadrant-reports-for-supply-chain-planning-solutions-2026-04-08/

Each number in the Oracle answers above points to the matching entry in this list. Every entry was checked on 19 September 2026.

See the same nine answers on your own estate

Bring two systems and one decision your planners make every week. In the first week we register the data, confirm the mapping with your team, answer your questions in ChatLima and run the first agent at the level you choose.