End-to-end project implementation
What it is: Full-lifecycle Oracle EPM delivery — from business case through design, build, testing, and go-live.
How AI changes it: AI-accelerated at every stage of the transformation.
Solutions
End-to-end AI capability — from EPM transformation and finance applications to the data and integrations that power them.
Track 1 · 3 solutions
The strategic layer. AI that redefines what your finance function can achieve — through end-to-end project implementation, intelligent agents, and purpose-built solutions.
What it is: Full-lifecycle Oracle EPM delivery — from business case through design, build, testing, and go-live.
How AI changes it: AI-accelerated at every stage of the transformation.
What it is: Intelligent agents embedded in your EPM environment.
How AI changes it: Includes Predictive Planning, IPM Insights, PCM Agent, Narrative, and other evolving agents.
What it is: Agents engineered around your processes, your data, and the outcomes your business is built to deliver.
How AI changes it: Custom-built to match your operational reality, not a generic template.
Track 2 · 9 solutions
The application layer. AI applied directly inside Oracle EPM — making Planning, Consolidation, Reconciliation, Profitability, and Reporting smarter every period.
What it is: P&L, Balance Sheet, and Cashflow planning across the enterprise.
How AI changes it: AI-assisted driver models for P&L, Balance Sheet, and Cashflow that re-baseline as actuals land.
What it is: Headcount, salary, and benefit planning by department, role, and geography.
How AI changes it: Attrition prediction by cohort, AI-flagged hiring lag against plan, and bottoms-up rollups that reconcile to top-down targets without manual fudging.
What it is: Long-range capability and skills planning aligned to corporate strategy.
How AI changes it: Skills-gap analysis against future-state operating models, AI-suggested build-vs-buy tradeoffs, and scenario planning for market shifts.
What it is: Capital expenditure budgeting, project tracking, and depreciation forecasting.
How AI changes it: AI-assisted ROI scoring on competing project requests, automated depreciation re-calc when projects slip, and red-flagging of capital exposure before quarter end.
What it is: Project-level revenue, cost, and resource forecasting integrated with EPM.
How AI changes it: Margin erosion prediction at the project level, AI-suggested resource re-allocation, and burn-rate alerts before the milestone, not after.
What it is: Allocation modeling that traces cost to product, customer, and channel profitability.
How AI changes it: AI-driven allocation tuning that surfaces unprofitable products and customers in hours, not quarters.
What it is: Multi-entity, multi-currency financial close and group reporting.
How AI changes it: Anomaly detection on intercompany and journal entries that flags issues before close week starts.
What it is: Balance sheet reconciliation, sub-ledger tie-outs, and supporting documentation workflow.
How AI changes it: AI-powered matching and exception management that accelerates account reconciliation and reduces manual effort across close cycles.
What it is: Management commentary, board reporting, and statutory disclosure packages.
How AI changes it: Draft commentary and variance explanations from your data, reviewed by humans, ready in minutes.
Track 3 · 3 solutions
The foundation layer. AI that keeps your EPM stack clean, connected, and trusted — so everything built on top of it actually works.
What it is: Centralised management of dimensions, hierarchies, and metadata across Oracle EPM applications.
How AI changes it: AI that governs the integrity of your master data — keeping dimension members, parent-child relationships, and related hierarchies across entities, cost centres, and accounts structured, consistent, and aligned as your business evolves.
What it is: Source-to-cube data pipelines from ERP, CRM, HRIS, and operational systems into Oracle EPM.
How AI changes it: Self-healing integrations that catch source-system breaks before they hit your cube.
What it is: Governance of reference data — accounts, cost centres, products, customers — across master systems.
How AI changes it: AI-governed reference data management that ensures consistent chart of accounts, cost centres, and entities are trusted and aligned across every system your EPM stack connects to.
Pick the solution that hurts most. Tell us where Oracle EPM is the bottleneck. We’ll tell you what AI can actually fix — and how fast.
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