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A digital workforce for JD Edwards

AI Agents for JD Edwards

Reduce manual work and keep JD Edwards moving—starting with oversight and scaling to autonomy.

ERP Suites AI Agents are goal-driven digital workers that plan and execute tasks inside JD Edwards—not chatbots or prompt assistants. They can start with human review and progress to full autonomous execution as trust is established.

What you get:

  • Secure, auditable AI designed for JD Edwards execution
  • End-to-end task completion inside JDE (not just insights or scripts)
  • A scalable digital workforce you can expand over time

Not a chatbot layer. These agents take actions inside JD Edwards with governance and auditability.

What you can deploy

Available JD Edwards AI Agents

ERP Suites AI Agents are pre-built, production-ready digital workers designed to execute real work inside JD Edwards. Start with a small set of agents and expand over time—without re-architecting or rebuilding.

Finance & Accounting Agents

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Payables Agent

Automates invoice intake, matching, approvals, and posting in JD Edwards—end-to-end.

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Planning Agent

Provides real-time analysis and forecasting support for continuous planning and decision-making.

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Ledger Agent

Monitors financial activity and turns findings into insights and actions in JD Edwards.

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Trial Balance Agent

Pulls trial balances, detects anomalies, and flags issues for accounting review.

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Coming Soon: Accounts Agent

Finds out-of-balance accounts, identifies causes, and recommends corrective actions.

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Coming Soon: Reconciliation Agent

Prepares reconciliation drafts, supports review, and helps reconcile accounts faster.

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Coming Soon: Journal Entry Agent

Detects anomalous journal entries and recommends actions to address them.

Manufacturing & Supply Chain Agents 

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Coming Soon: Material Expiration Analysis Agent

Identifies lots nearing expiration and recommends actions to reduce waste and risk.

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Coming Soon: Item Shortages Analysis Agent

Detects stockouts and shortages and helps teams focus on the biggest risks.

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Coming Soon: Maintenance Work Order Builder

Creates or updates maintenance work orders, including operations, materials, and resources.

Procurement & Order Management Agents

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Coming Soon: Quote-to-Purchase Requisition Agent

Turns supplier quotes into purchase requisitions automatically.

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Coming Soon: Purchase Order to Sales Order Converter

Converts order documents into validated sales orders for JD Edwards order entry.

Get Started with JDE AI Agents
How this AI is different

What is an AI Agent?

Most AI today responds to prompts, generates content, or assists users on demand.
AI Agents are different. They work toward an outcome—breaking goals into tasks, making decisions, and executing actions inside JD Edwards.

This approach is often referred to as agentic AI: AI designed to own execution, not just provide recommendations.

 

ERP Suites AI Agents

Typical Enterprise AI

Prompt-Based AI
Primary role Execute work toward business goals Analyze, assist, or recommend Respond to user prompts
How work starts Agent monitors conditions and acts Event-, rule-, or user-triggered Human-initiated prompts
Ownership of outcomes Agent owns the task Human owns the task Human owns the task
Scope of execution Full process or defined outcome Individual steps or scripts No execution
Reasoning & task planning Goal-driven and adaptive Limited or predefined Prompt-based only
Operation model Continuous Periodic or event-based On demand
ERP transaction execution Native execution inside JDE Partial or indirect None
Governance & auditability Built-in, ERP-aligned Varies by tool Limited
Path to autonomy Configurable, staged Typically none None

What this means in practice:
AI Agents don’t wait to be asked what to do. They monitor, decide, and execute work inside JD Edwards—while giving teams control over when and how autonomy is applied.
Simple by design

How JD Edwards AI Agents Work

ERP Suites AI Agents are delivered as a managed, enterprise-grade AI service, not a custom AI build inside your JD Edwards environment. 

You get the speed and simplicity of SaaS, with the controls and governance JDE requires. 

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Native JDE execution via Orchestrations

Agents execute work through JD Edwards’ built-in Orchestrator and AIS framework, keeping automation aligned with JDE best practices and resilient through upgrades.
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Secure, managed tenancy

Each customer’s agents run in an isolated Oracle Cloud environment managed by ERP Suites, with enterprise-grade controls for security and auditability.
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Governed autonomy

Agents can start with human review and approval, then scale to autonomous execution as reliability is proven—without sacrificing oversight.
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Enterprise AI foundation

Built on Oracle’s enterprise AI platform, providing the security, scalability, and durability required for long-term ERP execution.
Why this works for JD Edwards

Built for JD Edwards. Trusted for AI execution.

AI Agents only deliver value when they’re built for the realities of your ERP. ERP Suites’ 100% JD Edwards focus shapes how agents are designed, governed, and sustained over time.

 

Built specifically for JD Edwards

ERP Suites designs AI Agents around real JD Edwards processes—not generic ERP patterns.

  • Purpose-built for JDE workflows across finance, supply chain, and operations
  • 100% JDE focus with no competing ERP priorities
  • Execution aligned to how JD Edwards is designed to integrate and automate
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Enterprise AI you can trust

AI execution inside ERP requires enterprise-grade foundations.

  • Built on Oracle’s enterprise AI platform
  • Designed for security, isolation, and auditability from day one
  • Delivered and managed by an Oracle-certified Cloud Managed Service Provider (CMSP)

This ensures AI agents are governed, reliable, and sustainable—not experimental.

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Proven leadership in JD Edwards AI 

ERP Suites doesn’t just implement AI for JDE—we actively shape how it’s applied responsibly.

  • Host of AI Week with 25+ speakers (including Oracle) and 500+ registrants
  • Frequent presenters at JD Edwards conferences and user groups
  • Ongoing leadership in enterprise AI strategy for JDE environments

Why this matters long term 

A JDE-first approach to AI execution leads to:

  • Less friction during JD Edwards upgrades
  • Faster adoption of new capabilities
  • AI that evolves with JD Edwards—not around it
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Fit check

Are JD Edwards AI Agents the Right Approach?

JD Edwards AI Agents are a strong fit when teams want AI that can execute work inside ERP—not just analyze or advise.

A strong fit if:

  • You run JD Edwards EnterpriseOne and want automation beyond reporting or scripting
  • Teams spend significant time on manual, repeatable work inside JDE
  • You want AI that can act inside ERP with governance and auditability
  • Security, controls, and compliance are non-negotiable
  • You prefer a managed, SaaS-style deployment over custom AI builds 

Teams typically start when: 

  • Close cycles slow due to manual review and reconciliation
  • Backlogs build in payables, procurement, or order processing
  • Inventory and manufacturing teams need earlier insight and faster action
  • IT wants to enable AI without introducing new platforms or risk 

This may not be the right fit if:

  • You’re looking for a generic chatbot or a standalone analytics tool
  • You already have simple, stable processes that don’t require reasoning or adaptation
  • You want to build and manage AI infrastructure entirely in-house 
  • You’re not running JD Edwards
A clear path to success

What Happens Next

Getting started with AI Agents begins with alignment, so deployment is predictable, low risk, and tied to real outcomes. 

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Agent Discovery Session

We review your JD Edwards environment and priorities to identify the highest-impact AI Agents to start with. 
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Readiness and Fit Confirmation

We confirm technical, security, and process readiness so agents can operate safely inside JDE.
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Deployment Plan

We define agent scope, oversight points, and rollout sequencing before anything goes live. 
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Life with AI Agents

AI Agents handle routine execution, exceptions surface earlier, and teams focus on review, decisions, and outcomes instead of manual work 
Talk to an AI Agent Expert
Frequently Asked Questions

JD Edwards AI Agents Explained

Do AI Agents run in our JD Edwards environment?

Is this a custom AI build or a SaaS offering?

How are customers isolated in a shared tenancy?

How do AI Agents respect JDE security and approvals?

Are AI Agent actions auditable?

Is this suitable for regulated environments?

Are AI Agents fully autonomous from day one?

Can we control what agents are allowed to do?

What happens if an agent encounters an exception?

How do AI Agents integrate with JD Edwards?

Will this affect future JDE upgrades?

Does this replace JDE Orchestrations or existing automation?

How many AI Agents can we deploy?

Can we deploy agents incrementally?

Who manages the AI Agents over time?

What does our team need to maintain internally?

Is our data used to train public AI models?

Are these generic LLMs or JDE-specific models?