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Oracle Fusion AI Analytics

Your Oracle Fusion data holds the answers. Now you can ask.

Nexatron's Oracle Fusion connector is Live. Ask in plain English, or from Claude through MCP, and get governed, SQL-backed answers across General Ledger, Payables, Receivables, Procurement and Supply Chain.

  • Oracle Fusion connector (Live)
  • Ledgers and business units
  • Self-hosted / BYOL

Trusted by enterprises running

  • Anthropic
  • Oracle
  • NetSuite
  • Salesforce
  • Microsoft
  • Databricks
  • UiPath
  • Google
  • IBM
  • Workato

The Problem

Why is cross-module reporting in Oracle Fusion still slow?

Because Oracle Fusion reports are organized by module and ledger, while the questions finance and operations leaders ask cut across both. The data is all there. Getting a trusted answer out of it still takes a specialist and a queue.

  • Reports stop at module boundaries

    OTBI subject areas and BI Publisher reports are organized by module. A question that joins Payables to General Ledger, or Procurement to Supply Chain, means a custom subject area, a data model change or an export to Excel.

  • Ledgers, business units and currencies

    Several primary ledgers, dozens of business units and more than one reporting currency turn a simple consolidated view into a manual roll-up that is out of date by the time it is finished.

  • The analyst bottleneck

    Business leaders wait days for answers because every question beyond a canned report needs someone who can build a subject area or write SQL. The queue never shrinks, and the questions keep changing.

How It Works

How does Nexatron turn Oracle Fusion data into trusted answers?

Nexatron connects to Oracle Fusion through its supported REST connection, applies the metric definitions and row-level policies you certify, and answers in plain English with the query it ran. Three steps, and the third one is where trust comes from.

  1. 1

    Connect

    Connect Nexatron to Oracle Fusion with the Live connector, using the supported Oracle Fusion REST connection your tenant administrator approves. Row-level policies control which business units and records each user can see. No hand-built extracts and no reporting copy to keep in sync.

  2. 2

    Define

    Define what revenue, COGS, days payable outstanding and on-time delivery mean once. Nexatron's governed semantic layer enforces those certified definitions on every query, whether a person or Claude is asking.

  3. 3

    Ask and trust

    Ask in plain English, by voice, or from Claude through MCP. Every answer carries the query that ran, the certified metric definition and the row-level policies applied, so finance can audit it.

Use Cases

What can finance and operations teams ask about Oracle Fusion?

Anything they would otherwise send to an analyst. These are the questions Oracle Fusion teams ask every week, with what Nexatron returns for each one.

  • Question · Payables

    “What is our Payables aging across all business units?”

    What Nexatron Returns

    Queries the Payables module across business units, applies your aging buckets, and returns a consolidated view with supplier-level detail and the ledger currency for each line.

  • Question · General Ledger

    “Show revenue by ledger last quarter against budget”

    What Nexatron Returns

    Pulls actuals from General Ledger with the budget comparison you define, shows variance by ledger and business unit, and flags the lines that beat or missed plan.

  • Question · Procurement

    “Which purchase orders over $100K are still awaiting approval?”

    What Nexatron Returns

    Queries Procurement across business units, filters by amount and approval status, and returns purchase order detail with requester, supplier and days in the approval queue.

  • Question · Receivables

    “Which customers have receivables more than 60 days past due?”

    What Nexatron Returns

    Queries Receivables, applies the past-due logic certified in your semantic layer, and returns balances by customer and business unit with the invoices behind each number.

  • Question · Supply Chain

    “What is on-hand inventory by organization, and what is it worth?”

    What Nexatron Returns

    Queries inventory balances across inventory organizations, applies the valuation definition you certified, and returns quantity and value by organization and subinventory.

Capabilities

What makes Oracle Fusion analytics governed?

Governed means three things: one certified definition per metric, access that follows your security model, and evidence attached to every answer. Nexatron is built for Oracle Fusion and for the enterprise that runs it.

  • Oracle Fusion connector (Live)

    Query Oracle Fusion Cloud Applications data in place through a connector that is Live today. Query tools are on from day one; action tools stay off until you choose to turn them on. No hand-built extracts and no reporting copy to maintain.

  • Ledgers and business units

    Ask across every ledger and business unit, or filter to one. Nexatron carries the ledger, business unit and currency context into each query, so a consolidated number and its detail come from the same logic.

  • Governed semantic layer

    Define revenue, COGS, DPO and on-time delivery once. Nexatron enforces the certified definition on every query and for every user.

  • Row-level policies

    Policies you define control which business units and records each user, and each MCP client, can see. Every answer shows the policies that were applied.

  • Combine with other Live sources

    Ask one question across Oracle Fusion and Salesforce, Snowflake, Databricks, NetSuite or PostgreSQL, all Live connectors, without starting a warehouse project first.

  • Evidence with every answer

    Every answer carries the query that ran, the certified metric definition and the row-level policies applied, so finance and internal audit can verify it.

Claude and Oracle Fusion

How does Claude reach Oracle Fusion data?

Claude reaches Oracle Fusion data through Nexatron's governed MCP server, never through a direct database login. Your finance team gets the convenience of asking Claude, and your IT and audit teams keep the permissions, definitions and evidence they already rely on.

  • A governed MCP server, not a database login

    MCP, the Model Context Protocol, is an open-source standard for connecting AI applications to external systems. Nexatron exposes governed query tools to any MCP client, including Claude, ChatGPT and Copilot. Claude calls those tools; it does not hold Oracle Fusion credentials or query tables directly.

  • Same definitions, same policies

    A question asked from Claude runs through the same semantic layer and the same row-level policies as a question asked inside Nexatron. The answer Claude receives carries the query, the certified metric definition and the policies applied.

  • What is Live and what is not

    Nexatron's Oracle Fusion connector is Live. The Oracle Database, Oracle E-Business Suite and Oracle EPM connectors are Coming soon. For Claude on Oracle Fusion, start today; for other Oracle data, read our guide to Oracle MCP options before you commit to an approach.

Source for the definition of MCP: the Model Context Protocol introduction. Current Nexatron connector status is published at nexatron.io/connectors.

EBS connector: Coming soonServices: available today

Running Oracle E-Business Suite?

dotSolved's services team implements and supports Oracle E-Business Suite, and the Nexatron EBS connector is Coming soon. If you run EBS today, start with a conversation rather than a connector: our services team at dotsolved.com has implemented and supported E-Business Suite for more than two decades, and we will map an honest path to governed AI for your data, whether that is a Fusion move, a warehouse-backed approach or a wait for the connector. We will not sell you a connector that is not Live.

Enterprise Reality

Most enterprises are experimenting with AI. Few are running it.

Your data is locked in Oracle, NetSuite, and Salesforce.

Your decisions are based on last week's export.

Your AI pilots are producing demos.

Not outcomes. Not ROI. Not scale.

Your platforms are adding AI natively.

Deploying it in a real enterprise is a different problem entirely.

23+

Years Enterprise Depth

500+

Enterprises Served

5

Platform Certifications

6

Industries Served

Resources

Go deeper on Oracle Fusion AI

Guides and pages that cover the decisions behind this one: what Oracle Fusion data intelligence should deliver, how Claude should reach Oracle data, and why text-to-SQL alone is not enough for an ERP.

  • Guide

    Oracle Fusion Data Intelligence and AI

    What Oracle Fusion data intelligence means in practice, where Oracle's own tools stop, and how a governed semantic layer fills the gap.

  • Guide

    Oracle MCP: Options for Claude and Oracle Data

    The honest set of options for connecting Claude to Oracle Fusion and other Oracle data, including what is Coming soon.

  • Guide

    Text-to-SQL for ERP: What Actually Works

    Why plain text-to-SQL fails on ERP schemas and what a governed approach changes for Oracle Fusion questions.

  • Page

    Oracle Fusion AI Agents

    Implementation of Oracle's native Fusion AI agents, plus the Financial Close and Cross-Entity Reconciliation agents dotSolved.ai builds.

  • Page

    Claude for Enterprise Systems

    How dotSolved.ai connects Claude to Oracle Fusion, NetSuite and Salesforce with the permissions and evidence finance and IT expect.

  • Page

    Nexatron

    The self-hosted data intelligence platform behind every answer on this page: connectors, semantic layer, MCP server and audit trail.

FAQ

Oracle Fusion AI analytics: frequently asked questions

Does Nexatron connect to Oracle Fusion?
Yes. Nexatron's Oracle Fusion connector is Live. It uses the supported Oracle Fusion REST connection set up with your tenant administrator, row-level policies control what each user can see, and every answer carries the query that ran, the certified metric definition and the policies applied.
What is Oracle Fusion data intelligence?
Oracle Fusion data intelligence means turning the transactions in Oracle Fusion Cloud Applications into answers a finance or operations leader can act on and audit: consistent metric definitions, access that follows your security model, and evidence behind every number. Nexatron delivers it as a self-hosted platform that connects to Oracle Fusion and to your other business systems.
Is this the same as Oracle's Fusion Data Intelligence product?
No. Oracle Fusion Data Intelligence is Oracle's fully managed analytics and data service for Fusion Cloud Applications. Nexatron is a separate data intelligence platform from dotSolved that you can run in your own VPC or on-premises. It connects to Oracle Fusion through a Live connector, applies your own metric definitions and row-level policies, answers questions that span Oracle Fusion and your other systems, and makes that data available to Claude and other MCP clients. The two can run side by side.
How does Claude connect to Oracle Fusion, and is there an Oracle MCP server?
Claude reaches Oracle Fusion data through Nexatron's governed MCP server. MCP, the Model Context Protocol, is an open-source standard for connecting AI applications to external systems. Nexatron exposes governed query tools to any MCP client: Claude asks a question, Nexatron runs it against Oracle Fusion under your definitions and policies, and Claude receives the answer with its evidence. Claude never holds Oracle credentials. Nexatron's Oracle Database connector is Coming soon, so Claude access to Oracle today is through Oracle Fusion or a Live warehouse such as Snowflake.
How does this work with Oracle Fusion AI features?
Oracle Fusion AI features, including the AI agents Oracle ships inside Fusion Cloud Applications, work inside Oracle. Nexatron works alongside them: it adds a governed semantic layer across Oracle Fusion and your other systems, answers cross-system questions, and makes that data available to Claude and other MCP clients. dotSolved's services team also implements Oracle's native Fusion AI; see the Oracle Fusion AI agents page.
Does Nexatron support Oracle E-Business Suite or Oracle Database?
Not yet. On the Nexatron connector catalog, Oracle E-Business Suite, Oracle Database and Oracle EPM are Coming soon, while Oracle Fusion is Live. dotSolved's services team implements and supports Oracle E-Business Suite today, so EBS customers should start with a conversation about data access options rather than a connector that is not yet available.
Does it handle multiple ledgers and business units?
Yes. You can ask across every ledger and business unit or filter to one, and Nexatron carries the ledger, business unit and currency context into the query. Row-level policies decide which business units and records each user is allowed to see.
How is Oracle Fusion data secured?
Nexatron can run single-tenant in your VPC or on-premises, so Oracle Fusion data can stay in your environment, and BYOL (bring your own LLM keys) means prompts and results go only to a model you have approved. Source credentials stay in the approved connection flow and never in a Claude prompt, row-level policies are applied on every query, and every answer carries the query, the metric definition and the policies used, which gives internal audit a complete trail.
Does Nexatron replace OTBI or BI Publisher?
No. Keep OTBI and BI Publisher for the operational and statutory reports they already produce. Nexatron handles the questions they struggle with: cross-module and cross-system questions, ad-hoc follow-ups, and plain-English access for people who will never build a subject area.

Nexatron by dotSolved Inc

Evaluate Oracle Fusion analytics with Nexatron

Review ledgers, business units, periods and the Fusion data security roles that apply before comparing a conversational result. Continue to the product guide for a scoped finance evaluation on the Live Oracle Fusion connector.

Explore Oracle Fusion analytics in Nexatron 

See your Oracle Fusion data answer back

Bring one real question from your ledgers, Payables or Procurement. We will show the answer, the SQL behind it and the policies that shaped it.