Ask your Oracle data anything.
Get answers in seconds.
Your finance team's answers live in Essbase, Planning, and FCCS. AgentCube connects Claude, Copilot, ChatGPT, or Gemini to the cubes you already trust, so anyone can query them in plain language.
Why did Germany miss Q3 EBITDA plan by $4.2M?
Pulling Q3 actuals and the plan scenario for Germany.
planning.query_data(entity="DE", scenario="Plan_Q3_FY26")essbase.mdx(cube="Actuals", filter="DE_Q3")Germany came in $4.2M below plan on Q3 EBITDA. Three drivers account for $3.9M of the gap.
| Driver | Entity | Variance |
|---|---|---|
| Raw material COGS | DE-Manufacturing | −$2.1M |
| FX (EUR/USD) | DE-Consolidated | −$1.1M |
| Channel mix, retail | DE-Sales | −$0.7M |
| All other | DE (residual) | −$0.3M |
Want me to drill into raw material COGS by supplier, or pull last year's Q3 for context?
Where does the October close stand? Any entities still open?
Checking Financial Consolidation and Close for period FY26-Oct.
fcc.get_close_status(period="FY26-10")October close is eighteen of twenty-two entities complete. Four still open:
| Entity | Status | Blocker |
|---|---|---|
| DE-Sales | Pending review | Three unposted journals |
| BR-Consolidated | Rejected | Reconciliation variance $180K |
| UK-Holdings | In progress | Intercompany elim, pending |
| APAC-Elim | Not started | Awaiting JP close |
Want me to message the preparers a reminder, or pull the Brazil reconciliation detail?
Build me a 2027 Germany forecast that assumes we hold FY26 drivers flat except volume grows 4 percent.
Loading Germany FY26 driver set from Planning and applying the four-percent volume assumption.
planning.get_form(form="DE_Driver_Forecast")planning.project_scenario(base="FY26", volume="+4%")Draft FY27 Germany forecast, FY26 drivers held, volume +4 percent:
| Metric | FY26 | FY27 (draft) |
|---|---|---|
| Revenue | $142.0M | $147.7M |
| Gross margin % | 38.2% | 38.2% |
| Operating expense | $31.4M | $32.7M |
| EBITDA | $22.8M | $23.7M |
Draft saved to a working scenario. Want me to route it to your FP&A lead for refinement, or test a second volume sensitivity?
AgentCube retrieves numbers from the Oracle environment your finance team already operates, with the user's identity and permissions intact. Examples are illustrative; actual responses reflect your data.
Bring your AI of choice to the cubes you already trust.
AgentCube is a Model Context Protocol layer that sits between modern AI clients and your financial data sources, like Oracle EPM. Your team picks the AI they want to work in. We carry the same governance, identity, and audit posture across all of them, so the same query asked by the same user returns the same accurate data no matter which front door they used.
Any AI, one engine, every Oracle EPM system your team runs on.
Want the technical details?Read the full architecture
Designed around the controls your security team already enforces.
AgentCube is a thin layer over Oracle EPM. It respects the identity model, the role hierarchy, and the audit posture your team has already invested in.
Identity-first
Every query runs as the requesting user, against the same Oracle roles they have today. The model never sees data the analyst could not already see at their desk.
Isolation
AgentCube is not a hosted service. You deploy the stack inside your own network, with no shared Caprus backend in the middle and no other tenants to leak across.
Audit trail
Every tool call logs the user, data source, and request shape, never the response. The hash chain makes tampering evident, so compliance can audit without parsing chat transcripts.
No data retention
Result payloads pass through AgentCube to the model and are never persisted. The data lives in Oracle, before and after the query. AgentCube does not keep its own copy.
Deploy where your data lives.
AgentCube ships as container images you run inside your own cloud or on-premise environment, on whatever infrastructure your security team already trusts. No data ever leaves your perimeter to reach AgentCube.
One product. Different people. Each gets what they came for.
- CFOs
“What's the cash position by entity ahead of Thursday's board meeting?”
Live balances rolled up from Essbase, no Excel handoff in the chain. The number you walk in with is the number that's true at 9 AM Thursday.
- FP&A
“Pull next year's headcount build and flag the entities over the corporate cap.”
The plan from Planning, the cap from the policy, the gap by entity — in one pass. No Smart View dig, no Excel rebuild.
- Controllers
“Find every intercompany imbalance in October before we close.”
Read straight from the GL across every entity. AgentCube flags the mismatches, names the owners, and shows the journal trail behind each one.
- IT & Security
“Can we run this inside our own infrastructure, on our own release cadence?”
Container images from a registry you trust, deployed where your data already lives. Your patch cadence, your kill switch, your release calendar.
The questions every CFO asks before buying.
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