Why ForbiaQ Exists
Built from real Oracle Fusion project pain — not a lab experiment.
The Problem
Getting a straight answer out of Fusion means knowing exactly which of ~20,000+ tables holds the answer, hand-writing SQL against an ever-changing schema, or waiting on IT to run a BI Publisher report. Ad-hoc data requests pile up in ticket queues. Functional consultants who know the business question can't get to the data without a technical intermediary.
The Reality
Most teams end up with two disconnected paths: a slow, ticket-driven path through IT for anything beyond a canned report, and a fragile one where whoever can write SQL keeps a personal folder of queries that breaks the next time Oracle patches the schema. Neither path scales, and neither gives business users a way to ask a question in their own words.
The ForbiaQ Approach
ForbiaQ puts a single, AI-assisted workbench in front of Oracle Fusion — one place to write SQL by hand, generate it from a plain-English question, chat with an AI agent that already knows your Fusion schema, and execute BI Publisher reports against any environment, with every login and query tracked for audit.
Core Features
A comprehensive workbench for Oracle Fusion SQL, reporting, and BI Publisher operations
SQL Editor
A live, browser-based SQL editor with autocomplete across every Fusion table and column, plus a Saved Queries library for reuse.
Ask AI
Turns a plain-English question into runnable SQL, grounded against the real Fusion schema — no memorized or hallucinated columns.
Agent Chat
A conversational assistant that tracks which module and table you're discussing across a multi-turn conversation, not just one question at a time.
AdHoc BIP Execution
Runs BI Publisher reports directly against any configured Fusion environment via SOAP, with configurable report parameters — no separate BIP tooling needed.
Reports Executor
Configure and run named, reusable Fusion BIP reports on demand, separate from one-off ad-hoc SQL.
Chart Tab
Deterministic, rule-based charting of query results — built without AI in the loop, so restricted data never has to leave the platform to get visualized.
Database Browser
Browse thousands of Fusion tables by module (Finance, HCM, SCM, PPM, Procurement, Common) with real column-level metadata.
Admin & Audit
Login/logout tracking with user, IP, and timestamp, plus visibility into system errors — built for teams that need an audit trail.
AI-Powered Capabilities
AI-driven query generation grounded in your real Fusion schema — not generic guesses
Schema-Grounded Retrieval
ForbiaQ's retrieval layer ranks the full Oracle Fusion table catalog by relevance to your question, weighting rare, distinctive terms above generic ones so the AI is grounded against the tables that actually match — not just the ones with the most common words in their name.
Module-Aware Generation
Recognizes which Fusion module a question belongs to (Finance, HCM, SCM, PPM, Procurement, Common) and narrows the schema context accordingly, so an HCM question doesn't get grounded against Finance tables that happen to share a keyword.
Multi-LLM Support
Works with multiple AI providers (Groq, OpenRouter) so teams aren't locked into a single model vendor.
Built-In Cost Guardrails
Caps on result size, column counts, and conversation history keep AI token costs predictable, even on large ad-hoc queries.
Built For Oracle Fusion Teams
Whether you write SQL every day or have never touched it — if you need answers out of Fusion, ForbiaQ is for you
Fusion Functional Consultants
Ask questions in plain English and get runnable SQL back, without waiting on a technical resource for every ad-hoc data pull.
Technical / Report Developers
Get a full SQL editor with schema-aware autocomplete and BIP execution in one place, instead of juggling separate tools for querying and reporting.
IT & Fusion Administrators
Track who accessed the system, when, and from where, with a built-in login/logout audit trail and error visibility.
Business Analysts
Turn a query result straight into a chart without any data leaving the platform or reaching an AI model.
See ForbiaQ in Action
Book a demo and see how your team can go from a plain-English question to a running Fusion query, without a ticket in between.