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
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of business units and more than one reporting currency turn a simple consolidated view into a manual roll-up that is out of date by the time it is finished.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
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
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
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.
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?
What is Oracle Fusion data intelligence?
Is this the same as Oracle's Fusion Data Intelligence product?
How does Claude connect to Oracle Fusion, and is there an Oracle MCP server?
How does this work with Oracle Fusion AI features?
Does Nexatron support Oracle E-Business Suite or Oracle Database?
Does it handle multiple ledgers and business units?
How is Oracle Fusion data secured?
Does Nexatron replace OTBI or BI Publisher?
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 NexatronSee 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.