Oracle Fusion 26A · ERP & AI Agents

Oracle ERP & AI Agents 26A Release Intelligence

11 feature changes for Oracle ERP & AI Agents in 26A — affecting embedded AI agents, AI Agent Studio and agentic workflows. Analyze release impact, regression risks, affected components and recommended validations.

Analyze ERP & AI Agents Impact Request Demo
6 High
0 Med-High
5 Medium
0 Low
12 pages
12 APIs
26A ERP & AI Agents Command Center
LIVE · FEB 2026
Total Features
11
High Severity
6
Affected Pages
12
Affected APIs
12
High6
Med-High0
Medium5
Low0
RELEASE OVERVIEW

What Changed in Oracle ERP & AI Agents 26A

Oracle Fusion 26A (February 2026) delivers 11 feature changes for Oracle ERP & AI Agents — covering process logic, accounting rules, integration payloads, security policies and reporting outputs. 6 are marked HIGH severity and require prioritised regression validation before production cutover.

Total Changes
11
High Severity
6
Pages Affected
12
APIs Affected
12

Oracle ERP & AI Agents 26A Feature Changes

Every ERP & AI Agents change Oracle shipped in 26A, with severity, affected components, and recommended validations. Combines initial 26A release notes with the latest 26A patch updates.

Ledger Agent for Agentic AI-Powered General Ledger Experience

HIGH
Type: AI / Analytics Opt-in

AI-powered ledger assistant for financial analysis, reconciliation, and accounting insights Enhances financial visibility and accelerates accounting analysis (Oracle Docs)

Pages: General Ledger Dashboard
APIs: General Ledger APIs
ESS Jobs: Create AccountingJournal Import
Config: Ledger ConfigurationAccounting Rules
Processes: Financial Close
Test Cases: AI Ledger RecommendationsJournal ValidationReconciliation Testing
Data Objects: LedgersJournalsBalances

Agentic Applications Builder

HIGH
Type: New Feature Yes

Introduced natural language-based Agentic Applications Builder for composing AI workflows and reusable enterprise AI agents without traditional coding. (Oracle) Enables enterprise-wide autonomous workflows and low-code AI automation

Pages: AI Agent Studio Builder UI
APIs: AI Agent Builder REST APIs
ESS Jobs: AI Agent Orchestration Jobs
Config: AI Agent TemplatesWorkflow Definitions
Processes: AI-driven business process automation
Test Cases: Validate creation and deployment of multi-agent workflowstest agent orchestration and approvals
Data Objects: DV_AI_AGENT_CONFIG

Workflow Orchestration Enhancements

HIGH
Type: Enhancement Yes

Added enterprise-grade orchestration for multi-step and multi-agent execution with rule-based flow control and human oversight. (Oracle) Improves reliability and governance of enterprise AI processes

Pages: Workflow Agent Console
APIs: Workflow Execution APIs
ESS Jobs: AI Workflow Scheduler Jobs
Config: Workflow Rules Engine
Processes: Cross-functional enterprise workflows
Test Cases: Test sequential and conditional agent executionapproval routingrollback handling
Data Objects: DV_AGENT_WORKFLOW_LOGS

Content Intelligence Integration

MEDIUM
Type: New Feature Yes

AI Agent Studio now supports unstructured content ingestion and contextual intelligence using enterprise documents and third-party content. (Oracle) Enhances AI reasoning using enterprise knowledge and external content

Pages: AI Content Intelligence Dashboard
APIs: Document Intelligence APIs
ESS Jobs: AI Content Processing Jobs
Config: RAG Configuration Objects
Processes: Knowledge-driven automation and document analysis
Test Cases: Upload enterprise documents and validate contextual AI responses and extraction accuracy
Data Objects: DV_AI_CONTENT_INDEX

MCP and A2A Interoperability Support

HIGH
Type: New Feature Yes

Oracle Fusion 26A introduced MCP and A2A protocol support enabling AI agents to securely collaborate across Oracle and third-party systems. (blogs.oracle.com) Expands enterprise AI ecosystem interoperability and governance

Pages: Agent Connectivity Setup
APIs: MCP Connector APIsA2A APIs
ESS Jobs: AI Integration Sync Jobs
Config: External Agent Connectors
Processes: Inter-application AI collaboration
Test Cases: Validate secure external tool accessexternal agent communicationand role-based security
Data Objects: DV_AI_AGENT_CONNECTIONS

REST API Access for AI Agents

MEDIUM
Type: Enhancement No

Expanded REST API access for Fusion AI agents enabling external systems and integrations to invoke agent services. (Oracle Documentation) Supports scalable AI integrations and API-driven automation

Pages: AI Agent Access Console
APIs: Fusion AI REST APIs
ESS Jobs: API Synchronization Jobs
Config: Security PoliciesAPI Access Config
Processes: External AI integrations
Test Cases: Test authenticationAPI invocationand response handling from external systems
Data Objects: DV_AI_AGENT_AUDIT

AI Chat Experience Improvements

MEDIUM
Type: Enhancement Yes

Enhanced AI chat interface with enterprise document upload, contextual conversations, and improved guardrails. (YouTube) Improves end-user productivity and conversational AI usability

Pages: AI Chat Console
APIs: Conversational AI APIs
ESS Jobs: AI Chat Session Jobs
Config: Chat GuardrailsPrompt Templates
Processes: Conversational enterprise assistance
Test Cases: Validate document uploadconversational continuityand contextual response generation
Data Objects: DV_AI_CHAT_HISTORY

Expanded External Data Source Connectivity

MEDIUM
Type: Enhancement Yes

Added support for external enterprise platforms such as Slack, Microsoft Teams, and external MCP servers. (YouTube) Broadens enterprise collaboration and AI accessibility

Pages: External Connector Setup UI
APIs: External Integration APIs
ESS Jobs: Connector Sync Jobs
Config: External Data Source Configurations
Processes: Enterprise collaboration workflows
Test Cases: Test Teams/Slack integrations and external data retrieval scenarios
Data Objects: DV_AI_EXTERNAL_CONNECTORS

AI Marketplace and LLM Flexibility

HIGH
Type: Enhancement Yes

Oracle expanded AI Agent Studio with AI marketplace integrations and support for multiple LLM providers including OpenAI, Anthropic, Google, Meta, and xAI. (Oracle) Provides flexibility, scalability, and partner ecosystem expansion

Pages: AI Marketplace Console
APIs: LLM Integration APIs
ESS Jobs: Marketplace Sync Jobs
Config: LLM Provider Configurations
Processes: AI model selection and deployment
Test Cases: Validate switching between LLM providers and partner AI agents
Data Objects: DV_AI_MARKETPLACE_USAGE

ROI Measurement and Observability

MEDIUM
Type: New Feature Yes

Built-in AI observability and ROI dashboards added for monitoring AI agent usage, execution metrics, and business outcomes. (Oracle) Helps enterprises measure AI adoption effectiveness and governance

Pages: AI Monitoring Dashboard
APIs: AI Metrics APIs
ESS Jobs: AI Analytics Aggregation Jobs
Config: AI KPI Definitions
Processes: AI governance and optimization
Test Cases: Validate KPI dashboardsexecution metricsand audit trails
Data Objects: DV_AI_OBSERVABILITY

AI Agent Studio Redwood Integration

HIGH
Type: New Feature Yes

Oracle expanded AI Agent Studio integration with Redwood UI and support for REST-based AI agent interactions. (Oracle Documentation) Supports Oracle’s AI-first strategy across ERP, SCM, HCM, and CX

Pages: AI Agent StudioEmbedded AI Panels
APIs: AI Agent REST APIs
ESS Jobs: AI Agent Processing Jobs
Config: AI Agent Configurations
Processes: AI-assisted ERP Operations
Test Cases: Validate AI recommendationsAPI responsesworkflow triggersand security permissions
Data Objects: DV_AI_AGENT_USAGE

Affected Components Across ERP & AI Agents 26A

Deduplicated inventory of ERP & AI Agents components impacted by the 26A release (initial + patch). Use these lists as your regression scope baseline.

Affected Pages

12
AI Agent Access Console AI Agent Studio AI Agent Studio Builder UI AI Chat Console AI Content Intelligence Dashboard AI Marketplace Console AI Monitoring Dashboard Agent Connectivity Setup Embedded AI Panels External Connector Setup UI General Ledger Dashboard Workflow Agent Console

Affected APIs

12
A2A APIs AI Agent Builder REST APIs AI Agent REST APIs AI Metrics APIs Conversational AI APIs Document Intelligence APIs External Integration APIs Fusion AI REST APIs General Ledger APIs LLM Integration APIs MCP Connector APIs Workflow Execution APIs

Affected ESS Jobs

12
AI Agent Orchestration Jobs AI Agent Processing Jobs AI Analytics Aggregation Jobs AI Chat Session Jobs AI Content Processing Jobs AI Integration Sync Jobs AI Workflow Scheduler Jobs API Synchronization Jobs Connector Sync Jobs Create Accounting Journal Import Marketplace Sync Jobs

Affected Config Objects

15
AI Agent Configurations AI Agent Templates AI KPI Definitions API Access Config Accounting Rules Chat Guardrails External Agent Connectors External Data Source Configurations LLM Provider Configurations Ledger Configuration Prompt Templates RAG Configuration Objects Security Policies Workflow Definitions Workflow Rules Engine

Affected Business Processes

11
AI governance and optimization AI model selection and deployment AI-assisted ERP Operations AI-driven business process automation Conversational enterprise assistance Cross-functional enterprise workflows Enterprise collaboration workflows External AI integrations Financial Close Inter-application AI collaboration Knowledge-driven automation and document analysis

Recommended Test Cases

27
AI Ledger Recommendations API invocation API responses Journal Validation Reconciliation Testing Test Teams/Slack integrations and external data retrieval scenarios Test authentication Test sequential and conditional agent execution Upload enterprise documents and validate contextual AI responses and extraction accuracy Validate AI recommendations Validate KPI dashboards Validate creation and deployment of multi-agent workflows Validate document upload Validate secure external tool access Validate switching between LLM providers and partner AI agents and audit trails and contextual response generation and response handling from external systems and role-based security and security permissions approval routing conversational continuity execution metrics external agent communication rollback handling test agent orchestration and approvals workflow triggers

Other Oracle 26A Modules

Continue your 26A release readiness across other Oracle modules.

26A Cash Management Changes
View Analysis
26A Costing Changes
View Analysis
26A Demand Management Changes
View Analysis
26A Expenses Changes
View Analysis
Back to 26A Hub

Oracle ERP & AI Agents 26A FAQs

Common questions from teams preparing for Oracle ERP & AI Agents 26A.

What changed in Oracle ERP & AI Agents 26A?
Oracle Fusion 26A (February 2026) introduces 11 feature changes for Oracle ERP & AI Agents, with 6 flagged HIGH severity by Oracle. Changes touch business processes including AI governance and optimization, AI model selection and deployment, AI-assisted ERP Operations, AI-driven business process automation and surface on pages such as AI Agent Access Console, AI Agent Studio, AI Agent Studio Builder UI.
How many high-risk changes does Oracle ERP & AI Agents 26A have?
Oracle marks 6 of the 11 changes as HIGH, 0 as MEDIUM-HIGH, 5 as MEDIUM and 0 as LOW. High-severity items in ERP & AI Agents typically require comprehensive regression validation before production cutover because they touch core transactional, security or accounting logic.
Which APIs are affected by Oracle ERP & AI Agents 26A?
Affected APIs include A2A APIs, AI Agent Builder REST APIs, AI Agent REST APIs, AI Metrics APIs, Conversational AI APIs. Custom integrations consuming these endpoints should be validated against the 26A schema and behavioural deltas during your test pod cycle.
What test cases should run for Oracle ERP & AI Agents 26A?
SyntraFlow recommends validating AI Ledger Recommendations, API invocation, API responses, Journal Validation, Reconciliation Testing. The release-aware test pack is auto-composed by SyntraFlow Release Intelligence based on the 26A impact analysis on your specific tenant.
How does Oracle ERP & AI Agents 26A differ from 26B?
26A landed February 2026 and 26B follows in May 2026. The 26A ERP & AI Agents changes establish the baseline that 26B builds on. Validating 26A first ensures a smoother 26B upgrade. Use SyntraFlow Release Intelligence to compare both quarters.
ERP Agents Across Oracle Releases

Module Change History

Track how Oracle ERP Agents evolved across the last 5 quarterly releases — same module, different release scope.

Jul 2025
25C
Not impacted
Oct 2025
25D
Not impacted
Feb 2026 · current
26A
ERP Agents
You are here
May 2026
26B
Not impacted
Jul 2026
26C
Not impacted
How SyntraFlow Tests ERP Agents Natively

Built-in for Oracle, not bolted on

SyntraFlow runs ERP Agents testing through purpose-built native modules — DataVault auto-generates test data, AI heals Redwood selectors, Process Mining maps real flows, Release Intelligence narrows scope per Oracle release.

NATIVE PLATFORM

Oracle Fusion Testing Tool

AI test automation built for every Oracle Fusion module — Redwood UI, AI agents, quarterly patches.
NATIVE PLATFORM

SyntraFlow DataVault

Auto-generates valid Oracle test data — supplier hierarchies, employee assignments, GL combinations.
NATIVE PLATFORM

Config Discovery

Scans your live tenant and maps every configuration, role, security policy and customisation.
NATIVE PLATFORM

AI-Powered Oracle Testing

Self-healing Redwood selectors, AI agent validation, generative test data.
NATIVE PLATFORM

Release Intelligence Platform

Tenant-specific impact reports for every Oracle quarterly release, CPU and CSPU.
More on ERP Agents & Oracle Testing

From the Blog

FROM THE BLOG

Integration Testing in 2026
FROM THE BLOG

SIT Testing Explained
FROM THE BLOG

CI/CD Pipelines for Oracle Fusion
FROM THE BLOG

Oracle AI Agent Testing Gap
FROM THE BLOG

What Is Regression Testing?
FROM THE BLOG

UAT Testing for Oracle Fusion Cloud

Prepare Oracle ERP & AI Agents for 26A

Get a tenant-specific 26A ERP & AI Agents impact assessment and ship targeted regression coverage.

Request Assessment Analyze ERP & AI Agents Environment
Release Intelligence Separately-licensed SyntraFlow module

How SyntraFlow Release Intelligence Works

Release Intelligence is a SyntraFlow module that is licensed and priced separately from the core SyntraFlow test automation platform. It pinpoints exactly what each Oracle Fusion quarterly release or critical patch will affect in your tenant — and produces the test scenarios needed to validate it. The workflow runs in five connected steps:

  1. Connects to your Oracle Fusion environment. A secure read-only connection to your live Oracle Fusion tenant ingests setup data, security model, and live transactions — no manual exports, no spreadsheets.
  2. Scans your complete configuration with Config Intelligence. Config Intelligence snapshots every setup object (FSM tasks, profile options, BPM rules, descriptive flexfields, security policies) and compares it against the incoming release.
  3. Reads master & transaction data via DataVault. DataVault profiles your real master data and live transactions so impact analysis is grounded in what your business actually runs — not generic Oracle samples.
  4. Produces a detail-level Impact Map. Cross-references the release notes against your configuration and data to highlight which features, flows, integrations, and reports are at risk — down to the line-level setting or seeded role that changed. See Release Impact Analysis.
  5. Generates test scenarios & remediation report. Outputs ready-to-execute test cases targeting each impacted area, plus a remediation report with the exact steps to update your setup or data so the patch goes live with minimum disruption. Run them with Patch Testing Automation.

Licensing note: Release Intelligence is a standalone SyntraFlow module available as its own subscription, or as an add-on to the SyntraFlow test automation platform. Pricing is separate from the core platform — contact us for module pricing and bundling options.

Related Reading