An AI agent that runs ESS jobs, deploys BIP reports, loads FBDI, promotes config across environments and monitors production — and waits for your approval before any write. It runs as a single appliance in your own Oracle tenancy. Your data never leaves.

Reads run autonomously. Writes go through an approval chip you click in the session. Every action hits the audit log.
REST query and describe, BIP SQL execution, BIP catalogue browse, ESS job status, SCIM user lookup, config baseline fetch. The agent reaches for the right tool and answers — without a service-desk ticket or a wait.
/Custom catalogue, searched before any new SQLREST create / update / action, BIP report deploy, FBDI load submit, ESS job submit, SCIM role assign, config promotion. Every write surfaces an approval chip with a readable change plan. Nothing fires unattended.
FBDI loads and ESS jobs supervised end to endA single line in Page Composer puts an assistant and one-click ticketing in the corner of every Fusion page. What each person can ask and do is governed by their own Oracle role grants — an end user gets answers and a raise-ticket button; an operator gets the full agent. No separate user directory to manage.
Inbound tickets from Jira or ServiceNow, triaged by AI, become agent sessions that do the work behind approval chips — and close back to the source. Daily billing and procurement worklists surface what's ready to action, per controller.
Every request travels the same governed path — raised in context, worked by the agent, and applied to Oracle only after a person approves. Closed back to the source, with an audit trail at every step.
In Fusion, or synced from Jira / ServiceNow
Sorted, prioritised, matched to prior work
Drafts the report, load, or change
Change plan, four-eyes on production
As the signed-in user, fully logged
Back to source, with an evidence pack
Three memory layers per tenant, recalled at session start — so the agent walks in knowing your environment, not learning it from scratch. A request to repeat last period's work recalls the prior run and replays its exact steps.
Every successful run is embedded and recalled by semantic search. "Same as last month" finds and replays the exact steps — month-end, a load, a promotion.
A successful run becomes a replayable record. One click to re-run; the agent can also find it and adapt it for a similar task next time.
BU names, report paths, ESS job IDs, environment quirks — extracted from runs and kept, so the agent doesn't rediscover them every session.
Background sentries run on a schedule and surface a proactive approval chip at session start. Reads are autonomous — writes wait for you.
A single secure system you control, sitting beside your Oracle environments. It reaches Oracle through documented APIs as the signed-in user. The only thing that ever leaves your tenancy is the AI model call — on your own key.
Not multi-tenant SaaS holding your financials. It sits beside your pods; the model call rides your own key, in your region.
Acts as the signed-in Fusion user — their business unit, ledger and data security apply. Entitlements come from your own Oracle roles.
Every write is bound to a readable change plan, optionally four-eyes, fully audited, with an evidence pack per change. Maps to EU AI Act Article 14.
One page lists exactly what can leave the appliance and the toggle that controls it. No telemetry. Multilingual — EN / FR.
The framework is proven, so the work is alignment, not invention. A first workload typically goes live in your pod within weeks.
One session on your pods, your top workloads and security constraints. We agree the first workload to fit.
The appliance stands up in your OCI tenancy. Roles imported, catalogue indexed, assistant live in a sandbox.
Your first workload shaped to your real data and rules — validated against your own pod, read-only first.
Each new workload reuses the same core. Proof from one funds the next; the memory carries across all.
Tell us your environments and your sharpest Oracle pain. We'll run ERPStudio against a sandbox of your own Fusion environment — read-only, nothing in production. Guided onboarding · sandbox live same day.
We reply within one business day. Nothing runs in production; your data stays in your pod.