Oracle Fusion Finance · Client Briefing

AI & Agentic Finance
in Oracle Fusion.

Your Oracle Fusion environment is now an AI-enabled finance platform. This guide explains what's live, what's coming, and what your organization needs to do to unlock full value from Oracle's agentic AI capabilities.

22+
Agentic Applications
Live as of April 2026
4×
Releases Per Year
Cohort A: Jan, May, Aug, Nov
26B
Current Release
Prod: May 15, 2026
100%
Redwood UI Required
Mandatory for all AI agents
What This Means for You

Oracle is Shipping Autonomous Finance.

Oracle's 2025–2026 strategy centers on AI agents that don't just surface information — they take action. These agents operate within your existing Fusion environment, execute workflows, flag exceptions, and close tasks with configurable human-in-the-loop checkpoints.

This is a fundamentally different model from traditional ERP automation. Understanding the scope of what's available — and what prerequisites your environment must meet — is the first step toward capturing value.

Key distinction: Oracle's AI agents are embedded in existing Fusion modules — not separate products requiring new licenses. Activation depends on your existing cloud subscription tier and whether your environment has met the Redwood UI migration prerequisite.

🤖
AI Agents
Autonomous workflows that monitor, decide, and execute within configured guardrails. They escalate exceptions to humans and learn from approvals.
💬
Generative AI Assistants
Natural language interfaces for financial data — ask questions, draft narratives, summarize variances, and generate reports in plain English.
🔬
AI Agent Studio
Oracle's low-code builder (expanded March 2026) lets your team configure new agentic workflows, chain agents, and define ROI measurement.
📊
Predictive Analytics
Machine learning models embedded in EPM and ERP surface forward-looking signals: cash forecasts, spend anomalies, and close risk flags.
🔗
MCP-Style Integration
Oracle's Agent Hub connects Fusion agents to external systems, enabling cross-platform workflows that span your broader finance technology stack.
⚖️
Configurable Governance
Every agent includes approval thresholds, escalation paths, and audit trails — giving your compliance and controls teams visibility into AI-driven decisions.
Live Agent Capabilities

The Agents Available to You Now.

Oracle has deployed 22+ agentic applications across Finance, HR, Supply Chain, and Operations. Below are the Finance-specific agents most relevant to your environment — all live as of the 26A / 26B release cycle.

Accounts Receivable
Collectors Workspace Agent
Automates AR prioritization, generates collection communications, and tracks follow-up actions. The agent monitors aging buckets and escalates high-risk accounts to your collections team with recommended next steps.
AR Automation Cash Flow
Accounts Payable
Claims Settlement Workspace
Processes supplier claims, validates against PO terms, and routes approvals based on configurable thresholds. Reduces manual matching effort and accelerates supplier dispute resolution by surfacing relevant contract terms automatically.
AP Processing Supplier Mgmt
General Ledger
Ledger Agent
Monitors journal entries for anomalies, validates posting accuracy, and flags entries that fall outside statistical norms. Generates variance narratives and supports period-end substantiation with AI-drafted explanations.
GL Monitoring Period Close
Payables
Payables Agent
Handles invoice-to-pay automation including 3-way matching, duplicate detection, and payment run optimization. The agent surfaces early-pay discount opportunities and flags invoices with elevated fraud indicators.
Invoice Processing Fraud Detection
Financial Planning (EPM)
Planning Agent
Embedded in Oracle EPM Cloud, the Planning Agent generates driver-based forecast scenarios, explains plan-to-actual gaps in natural language, and drafts board-ready commentary. Integrates with your existing planning hierarchies and version history.
FP&A EPM Cloud
Record to Report
R2R Assurance Advisor
Monitors your financial close process end-to-end: validates reconciliations, tracks open items, and provides a real-time close health score. Escalates items at risk of breaching the close calendar to the appropriate controller or CFO dashboard.
Financial Close Reconciliation
Source to Settle
S2S Assurance Advisor
Provides end-to-end visibility across procurement-to-payment, flagging compliance gaps, vendor risk signals, and contract utilization anomalies. Surfaces savings opportunities and contract leakage that manual review typically misses.
Procurement Compliance
Access & Controls
Access Request Assistant
Automates the provisioning and review of user access across Fusion modules. The agent evaluates SoD conflicts at the point of request, recommends role configurations, and maintains an audit-ready access log — reducing SOX compliance overhead significantly.
SOX Controls User Access

Cost Accounting & Close: The Cost Accounting Close Workspace is also live, providing agent-assisted cost roll-up validation, variance analysis, and intercompany elimination monitoring — particularly valuable for manufacturing and multi-entity organizations.

2026 Release Calendar

When Capabilities Reach Production.

Oracle delivers updates on a fixed four-release annual cadence. Each release has a two-week test window before production deployment. This predictable schedule lets you plan internal readiness and training in advance.

Release Test Start Production Key Finance Focus Areas Status
26A Jan 3, 2026 Jan 17 / Feb 20, 2026 R2R Assurance Advisor, S2S Assurance Advisor, Access Request Assistant, EPM GenAI features Released
26B May 1, 2026 May 15, 2026 Financials enhancements, Project Management AI, Risk Management agents, ERP Analytics AI Current
26C Aug 7, 2026 Aug 21, 2026 Next-generation agent capabilities, expanded Fusion AI Agent Studio tooling Upcoming
26D Nov 6, 2026 Nov 20, 2026 Year-end close AI features, 2027 roadmap preview Upcoming

Planning tip: The two-week gap between test and production is your window to validate behavior in a non-production environment before changes reach your live finance users. FTE recommends using this time to review release notes, run targeted user acceptance testing, and brief key stakeholders on what's changing.

Critical Prerequisite

Redwood UI Is the Gateway to AI.

Oracle's AI agents are built exclusively on the Redwood UI framework. Organizations still operating on the classic Oracle interface do not have access to agentic capabilities — regardless of subscription tier.

The classic UI has been deprecated. Oracle has communicated a sunset timeline, and Redwood adoption is now a prerequisite for both AI access and continued platform support.

What this means for your team: If your Fusion environment has not completed the Redwood migration, this should be your single highest-priority initiative before investing in AI enablement. The transition affects user training, configuration, and internal workflow documentation.

Redwood Migration Checklist
Audit current usage of classic UI pages and custom configurations
Identify modules still on classic that have Redwood equivalents available
Map user populations by module and create role-specific training plans
Update internal SOPs, job aids, and process documentation to reflect new UI
Run parallel testing for critical close and reporting workflows
Validate personalizations and saved searches migrate correctly
Confirm mobile/tablet access paths work for field finance users
Establish a post-migration hypercare support model for the first 30–60 days
Build Your Own Agents

Oracle AI Agent Studio — Your Configuration Layer.

Released in March 2026, Oracle AI Agent Studio is a low-code environment that allows your finance and IT teams to configure custom agentic workflows on top of the Oracle platform — without requiring deep development expertise.

⚙️
Agentic Applications Builder
Design custom agents using drag-and-drop workflow logic. Define triggers, actions, approval thresholds, and escalation paths. Connect to Fusion data objects natively without API development.
Low-CodeCustom Agents
🔄
Workflow Orchestration
Chain multiple agents into sequential or parallel workflows. For example: a close agent monitors reconciliations → triggers a GL agent for anomaly review → escalates to the R2R Advisor for substantiation.
Multi-AgentOrchestration
📈
ROI Measurement Dashboard
Built-in analytics track time saved per agent, exception rates, approval patterns, and process cycle time improvements — giving your leadership team evidence of operational impact.
ROI TrackingAnalytics
Your Implementation Path

Four Phases to Operational AI.

Activating Oracle's AI agents is not a flip-of-the-switch exercise. The organizations capturing maximum value from these capabilities follow a disciplined activation sequence — anchored in data quality, process alignment, and governance design.

01
Foundation: Data & Environment Readiness
Audit master data quality across vendors, customers, and chart of accounts. Validate your Fusion configuration supports AI agent data access requirements. Complete Redwood UI migration if not already done. Establish clean baseline metrics for cycle time, exception rates, and close duration — these become your ROI comparison points.
02
Process Alignment & Governance Design
Map your current finance workflows to available agents. Redesign exception-handling and escalation procedures to account for AI-initiated actions. Define approval thresholds for each agent. Engage internal audit and compliance on the controls framework for AI-driven transactions. Document human-in-the-loop decision points.
03
Staged Agent Deployment
Activate agents in order of risk and complexity — starting with read-only and advisory agents (Ledger Agent, R2R Assurance Advisor) before enabling write-back agents (Payables, Collections). Use Oracle AI Agent Studio to configure thresholds. Validate in test before production promotion. Run parallel processing during the first two close cycles.
04
Monitor, Measure & Scale
Establish a quarterly AI governance review cadence aligned to Oracle's release calendar. Measure outcomes against your baseline metrics. Identify processes where agents can expand their scope. Evaluate each Oracle release for new capabilities relevant to your operations. Build internal competency to configure custom agents in Agent Studio.
Questions to Answer Before You Start
Has your environment completed the Redwood UI migration?
What is your current master data quality score for vendors and customers?
Which Oracle AI agents are included in your current subscription tier?
Do you have documented process owners for each finance workflow targeted by AI?
Has internal audit reviewed the control implications of AI-initiated transactions?
Is your IT team prepared to support AI Agent Studio configuration?
Have you established baseline KPIs to measure AI impact against?

FTE Consult's role: We help you navigate the full activation journey — from environment assessment and Redwood migration through agent configuration, process redesign, and governance framework design. Our team has deep Fusion implementation experience and can accelerate your path to value significantly.

Official Oracle Resources

Stay Current with Oracle's Roadmap.

Oracle publishes detailed release information and roadmaps through its official channels. These resources are the authoritative source for upcoming capability releases and configuration guidance.

Release Information
Oracle Cloud Readiness Site
The primary source for Oracle Cloud SaaS release notes, feature summaries, and what's new documentation. Updated with each release cycle. Searchable by product and feature area.
docs.oracle.com/readiness →
Community & Roadmaps
Oracle Customer Connect (OCCC)
The Oracle customer community platform. Contains unpublished roadmap previews, ideation forums, and direct access to Oracle product managers. Login required — available to all Oracle cloud customers.
community.oracle.com →
Agent Studio
Oracle AI Agent Studio Documentation
Configuration guides and best practices for building custom agents in Oracle's low-code agentic workflow builder. Includes template libraries and example orchestration patterns for common finance use cases.
docs.oracle.com →
Expert Guidance
FTE Consult — Oracle Practice
Our team translates Oracle's roadmap into an actionable plan for your specific environment. We provide environment assessments, activation roadmaps, and hands-on implementation support for AI agent deployment.
inquiry@fteconsult.com →