AI that moves the bottom line.
Practical, Oracle-native AI embedded where the work already lives — plus customer-facing copilots that lift productivity across finance, HR, SCM, and the field.
Two tracks. Customer-centric outcomes.
We run AI in two tracks that reinforce each other. Track 01 activates Oracle's embedded GenAI and integrates models into Fusion and EBS where they move finance, HR, and supply chain metrics. Track 02 ships customer-facing copilots and agents that take friction out of your users' daily work.
- Track 01 — AI in Oracle: Fusion GenAI enablement, OIC AI adapters, predictive analytics on OAC
- Track 02 — AI for Customer Solutions: conversational copilots, knowledge agents, role-specific assistants
- Every engagement starts with a measurable KPI (cycle time, handle time, margin lift, OEE) — not a tech pilot
- Typical pilot to production: 6 weeks
Ten AI use cases we ship.
Oracle Fusion GenAI
Activate embedded Fusion GenAI for Finance, HCM, and SCM with workload-specific prompts and guardrails.
Intelligent Document Processing
Invoices, POs, contracts, and freight documents extracted and posted into Oracle with confidence scoring.
Close & Reconciliation Automation
RPA + AI for month-end close, reconciliation, and exception handling on top of Fusion Financials or EBS.
Predictive Analytics
Demand sensing, margin-leakage detection, and anomaly alerts on OAC / Fusion Analytics Warehouse.
OIC AI Adapters
Real-time decisioning and routing inside Oracle Integration Cloud flows — pricing, credit, triage.
Conversational Copilots
HR, IT, and finance self-service copilots grounded in your SOPs and Oracle data.
Knowledge Agents
Secure retrieval-augmented agents over policies, SOPs, runbooks, and ticket history.
Shop-Floor Assistants
OEE, quality, and downtime triage co-pilots for manufacturing operators and supervisors.
Field-Service AI
Work-order triage, routing, and on-site troubleshooting guidance for technicians.
Governance & Guardrails
PII redaction, access control, prompt logging, eval suites, and drift monitoring on every deployment.
From KPI to production in six weeks.
KPI Discovery
Pin down the metric — cycle time, margin, handle time, OEE — and the owner.
Feasibility
Data audit, model selection, guardrails, and cost envelope in one week.
Prototype
Working prototype against real data by end of week 3, tested on a small user set.
Evaluation
Accuracy, safety, and cost evals against acceptance criteria before scale.
Productionise
Integrate into Fusion / OIC / OAC, wire logging, and roll out to target users.
Measure & Iterate
Track the KPI weekly, tune prompts and policies, and compound wins.
Why ETHX for enterprise AI.
Oracle-native — we know where Fusion data lives and how to wire AI into it safely
KPI-first — every pilot starts with a measurable metric and an owner
Productivity and margin focus — not pilots that never leave the lab
Governance baked in — PII redaction, access control, evals, drift monitoring
Bring-your-own-model — works with Oracle, OpenAI, Anthropic, Cohere, or private models
Delivered by the same team that implements Oracle — no hand-off between AI and ERP
Freight document processing: 40% cycle-time cut in 6 weeks
A logistics client was drowning in scanned freight docs. We built an intelligent document processing pipeline that extracts fields, posts them into Oracle via OIC, and flags exceptions to a human reviewer — clearing the queue twice as fast.
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Frequently asked questions
Got a KPI that AI could move?
Tell us the metric and the owner. We'll tell you whether it's a 6-week pilot or a longer programme — no pilot theatre.