A Digital Workforce for JD Edwards
Autonomous AI agents that execute tasks inside JD Edwards, not just assist.
Powered by Oracle Cloud Infrastructure and delivered as a fully managed SaaS platform, you get enterprise-grade performance and security without the complexity.
What you get:
- End-to-end task completion inside JDE (not just insights or scripts)
- Secure, auditable AI designed for JD Edwards execution
- A scalable digital workforce you can expand over time
Not a chatbot layer. These agents take action inside JD Edwards with control, transparency, and trust.

What to Know About ERP Suites AI Agents
ERP Suites AI agents are goal-driven digital workers that operate inside JD Edwards, executing tasks, triggering workflows, and adapting over time. Start with human oversight and scale to full autonomy with built-in governance and auditability.
Watch a Demo
Reading about AI agents is one thing. Seeing one work inside JD Edwards is another.
Watch our Accounts Payable Agent process invoices from start to finish, automatically capturing invoice data, validating information, performing matching, identifying exceptions, routing approvals, and creating vouchers directly in JD Edwards.
In this short demo, you'll see how an AI agent moves beyond answering questions and actually executes work inside your JDE while maintaining visibility, controls, and auditability.
Watch a demo of the Payables Agent
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.
Our portfolio of AI Agents continues to grow, helping organizations automate processes across JD Edwards and the broader enterprise. If your use case isn't covered by our existing library, we can design and deploy custom AI Agents built specifically for your business.
Finance & Accounting Agents
Payables Agent
Automates invoice intake, matching, approvals, and posting in JD Edwards—end-to-end.
Planning Agent
Provides real-time analysis and forecasting support for continuous planning and decision-making.
Trial Balance Agent
Pulls trial balances, detects anomalies, and flags issues for accounting review.
Reconciliation Agent
Prepares reconciliation drafts, supports review, and helps reconcile accounts faster.
Ledger Agent
Monitors financial activity and turns findings into insights and actions in JD Edwards.
Ledger Agent
Monitors financial activity and turns findings into insights and actions in JD Edwards.
What it does
The Ledger Agent continuously monitors ledger activity in JD Edwards, validates postings against accounting rules, identifies errors such as out-of-balance entries or incorrect accounts, and automatically generates adjustment journals to support faster close. It also provides context-aware explanations and supporting details to speed review and resolution.
Business Benefit
- Reduces time spent chasing reports and investigating issues
- Identifies posting errors earlier to prevent close delays
- Improves accuracy through continuous validation against accounting rules
- Accelerates issue resolution with context and supporting detail
- Supports faster close with system-generated adjustment journals
When to use it
Use it when teams spend too much time tracking down variances, correcting posting issues, or when errors are discovered too late in the close cycle.
Inputs
GL activity, subledger activity, account balances, accounting rules/validations, thresholds, and monitoring prompts
Outputs
Alerts and explanations, supporting transaction detail, posting validation results, and system-generated adjustment journals for review
How it works with your team
Runs continuously and flags errors as they occur, auto-prepares adjustment journals, and routes issues to accounting for review and approval.
Coming Soon: Accounts Agent
Finds out-of-balance accounts, identifies causes, and recommends corrective actions.
Coming Soon: Accounts Agent
Finds out-of-balance accounts, identifies causes, and recommends corrective actions.
What it does
The Accounts Agent identifies out-of-balance accounts, researches likely sources of the imbalance, recommends corrective actions, and can post corrective journal entries such as adjustments and accruals to resolve out-of-balance situations.
Business Benefit
- Reduces time spent diagnosing out-of-balance accounts
- Improves control and accuracy by catching issues earlier
- Accelerates correction with proposed and posted journal entries
- Reduces close delays caused by imbalances
- Improves audit readiness with documented findings and actions
When to use it
Use it when reconciliations fail, balances don’t tie out, or teams repeatedly spend time tracing transactions to identify and correct imbalances.
Inputs
Account balances, subledger detail, transaction history, accounting rules, and balancing/validation thresholds
Outputs
Identified imbalances, likely root causes, recommended corrective actions, and corrective journal entries (adjustments/accruals) for review or posting
How it works with your team
Flags imbalances and proposes or posts corrective entries based on policy; accounting reviews supporting detail and approves or adjusts actions as needed.
Coming Soon: Journal Entry Agent
Detects anomalous journal entries and recommends actions to address them.
Coming Soon: Journal Entry Agent
Detects anomalous journal entries and recommends actions to address them.
What it does
The Journal Entry Agent analyzes journal entries, identifies anomalous or unusual entries, researches likely root causes, and recommends a course of action. It highlights patterns that may indicate errors, policy violations, or process issues.
Business Benefit
- Improves accuracy and control over journal activity
- Reduces risk by flagging unusual entries earlier
- Speeds up journal review and investigation
- Helps prevent policy violations and posting errors
- Strengthens audit readiness with documented findings
When to use it
Use it during close, audit preparation, or anytime teams need stronger journal entry controls and faster detection of unusual activity.
Inputs
Journal entry activity, account history, user/activity logs, thresholds, and policy rules
Outputs
Flagged journal entries, supporting context, root-cause indicators, and recommended corrective actions
How it works with your team
Monitors journal activity continuously or on schedule; accounting reviews flagged entries and approves any corrective actions.
Manufacturing & Supply Chain Agents
Coming Soon: Material Expiration Analysis Agent
Identifies lots nearing expiration and recommends actions to reduce waste and risk.
Coming Soon: Material Expiration Analysis Agent
Identifies lots nearing expiration and recommends actions to reduce waste and risk.
What it does
The Material Expiration Analysis Agent detects lots nearing expiration, analyzes demand and usage across organizations, and recommends proactive actions such as reallocation or prioritized consumption to reduce waste and disruption.
Business Benefit
- Reduces write-offs and waste from expired materials
- Improves inventory health and planning responsiveness
- Minimizes disruption caused by expiring or unusable stock
- Helps teams take action earlier with clearer prioritization
- Supports compliance for lot-controlled and regulated materials
When to use it
Use it when you manage lot-controlled inventory, expiration risk is high, or teams need proactive visibility and recommended actions to prevent waste.
Inputs
Lot and expiration data, inventory balances, demand and usage history, open orders, and stocking parameters
Outputs
Lots at risk, expiration alerts, prioritized recommendations, suggested reallocation/consumption actions, and exception lists
How it works with your team
Monitors expiration timelines and flags risks early; inventory teams review recommendations and execute transfers or usage plans.
Coming Soon: Item Shortages Analysis Agent
Detects stockouts and shortages and helps teams focus on the biggest risks.
Coming Soon: Item Shortages Analysis Agent
Detects stockouts and shortages and helps teams focus on the biggest risks.
What it does
The Item Shortages Analysis Advisor identifies inventory stockouts and shortages across the organization, prioritizes risk based on demand and supply signals, and can recommend or initiate actions such as creating replenishment orders or adjusting safety stock.
Business Benefit
- Reduces disruption caused by stockouts and shortages
- Improves service levels and operational continuity
- Helps planners prioritize the most critical shortages first
- Accelerates response through replenishment and safety stock adjustments
- Improves decision-making with earlier shortage visibility
When to use it
Use it when shortages are frequent, service levels are impacted, production is delayed, or teams need earlier visibility and faster replenishment actions.
Inputs
Inventory balances, demand signals, open orders, lead times, planning parameters, and safety stock settings
Outputs
Shortage alerts, prioritized shortage lists, impacted items/locations, and recommended or initiated replenishment and safety stock actions
How it works with your team
Runs on a schedule or trigger to identify shortages; planners review recommendations and the agent supports replenishment and parameter updates based on policy.
Coming Soon: Maintenance Work Order Builder
Creates or updates maintenance work orders, including operations, materials, and resources.
Coming Soon: Maintenance Work Order Builder
Creates or updates maintenance work orders, including operations, materials, and resources.
What it does
The Maintenance Work Order Builder creates new work orders or updates existing ones in JD Edwards, including adding operations, issuing materials, and capturing resource requirements so maintenance teams can build complete work orders more quickly and consistently.
Business Benefit
- Reduces time spent creating and updating work orders
- Improves work order completeness and consistency
- Accelerates maintenance execution and scheduling
- Supports better cost and resource tracking
- Reduces rework caused by missing work order details
When to use it
Use it when work orders are slow to build, frequently incomplete, or when teams need faster turnaround and more standardization.
Inputs
Asset/equipment data, maintenance requests, task standards, materials/BOM data, labor/resource information, and work order policies
Outputs
Created or updated work orders, operation steps, issued materials, resource allocations, and updated work order status
How it works with your team
Generates work order details automatically; planners or technicians review, adjust if needed, and release work for execution.
Procurement & Order Management Agents
Sales Order Entry Agent
Automates sales order creation and validation in JD Edwards from customer requests, emails, portals, and supporting documents.
Sales Order Entry Agent
Automates sales order creation and validation in JD Edwards from customer requests, emails, portals, and supporting documents.
What it does
The Sales Order Entry Agent captures incoming order requests, extracts key order details, validates customer, item, pricing, availability, ship-to, and credit information, and prepares accurate sales orders in JD Edwards. It flags missing or conflicting information, provides context-aware explanations, and routes exceptions to the appropriate team for review before submission.
Business Benefit
-
Reduces manual order entry time and repetitive data entry
-
Improves order accuracy through automated validation
-
Identifies missing information before orders are created
-
Accelerates order processing and fulfillment
-
Helps prevent pricing, item, customer, and shipping errors
When to use it
Use it when teams spend too much time manually entering orders, validating customer requests, correcting order errors, or following up on incomplete order information.
Inputs
Customer purchase orders, emails, portal requests, item details, customer master data, pricing, ship-to information, credit rules, and order entry prompts
Outputs
Draft sales orders, validation results, exception alerts, missing information requests, supporting order detail, and submitted sales orders for review or processing
How it works with your team
Reads incoming order requests, prepares sales orders in JD Edwards, flags exceptions for review, and routes incomplete or questionable orders to customer service, sales, or order management for approval.
Inventory Allocation Agent
Optimizes inventory allocation across orders, locations, and priorities in JD Edwards.
Inventory Allocation Agent
Optimizes inventory allocation across orders, locations, and priorities in JD Edwards.
What it does
The Inventory Allocation Agent monitors available inventory, open sales orders, demand signals, fulfillment priorities, and allocation rules in JD Edwards. It recommends or applies inventory allocations based on customer priority, order dates, availability, location, substitutions, and business rules. It flags shortages, conflicts, and exceptions so teams can resolve allocation issues before they impact fulfillment.
Business Benefit
-
Improves inventory visibility across locations and orders
-
Reduces manual effort spent reviewing availability and shortages
-
Helps prioritize inventory for high-value or time-sensitive orders
-
Minimizes fulfillment delays caused by allocation conflicts
-
Supports more accurate promise dates and customer communication
When to use it
Use it when teams need to balance limited inventory across competing orders, reduce manual allocation decisions, or identify shortages before they delay fulfillment.
Inputs
Inventory availability, item balances, open sales orders, demand forecasts, allocation rules, customer priorities, order dates, warehouse locations, substitutions, and fulfillment thresholds
Outputs
Recommended allocations, allocation exceptions, shortage alerts, impacted order details, inventory availability summaries, and suggested substitutions or fulfillment actions
How it works with your team
Continuously reviews inventory and demand, recommends the best allocation decisions, flags exceptions for review, and routes shortage or priority conflicts to customer service, sales, planning, or warehouse teams for resolution.
Coming Soon: Quote-to-Purchase Requisition Agent
Turns supplier quotes into purchase requisitions automatically.
Coming Soon: Quote-to-Purchase Requisition Agent
Turns supplier quotes into purchase requisitions automatically.
What it does
The Quote to Purchase Requisition Assistant ingests supplier quotes through email or chat and creates purchase requisitions automatically. It captures quote details, structures line items, and prepares requisitions for review and submission.
Business Benefit
- Saves time by eliminating manual quote entry
- Reduces errors in requisition creation
- Speeds up procurement cycle time
- Improves consistency across requisition workflows
- Helps teams respond faster to supplier pricing and availability
When to use it
Use it when quotes arrive frequently via email, requisition creation is manual and slow, or teams need faster conversion of supplier quotes into purchasing workflows.
Inputs
Supplier quotes (email/chat/PDF), supplier and item master data, pricing terms, and requisition rules
Outputs
Draft requisitions, captured quote details, validation flags, and requisitions ready for approval
How it works with your team
Creates a draft requisition from the quote and flags missing details; procurement reviews and submits for approval.
Coming Soon: Purchase Order to Sales Order Converter
Converts order documents into validated sales orders for JD Edwards order entry.
Coming Soon: Purchase Order to Sales Order Converter
Converts order documents into validated sales orders for JD Edwards order entry.
What it does
The Purchase Order to Sales Order Converter translates order documents (such as PDFs) into structured sales order data that can be imported into JD Edwards Order Management. It validates fields, flags exceptions, and supports correction so orders can be entered accurately and quickly.
Business Benefit
- Reduces manual order entry effort
- Minimizes errors from document-based orders
- Speeds up order processing and fulfillment
- Improves consistency and validation across order entry
- Helps teams focus on exceptions instead of routine entry
When to use it
Use it when orders arrive as PDFs or documents, manual entry creates delays and errors, or teams need faster, more reliable conversion into JD Edwards order entry.
Inputs
Order documents (PDFs), customer and item master data, pricing/terms, and order validation rules
Outputs
Structured sales order data, validation results and exception flags, corrected order drafts, and sales orders ready for import/entry
How it works with your team
Converts and validates orders automatically; customer service reviews flagged exceptions, makes corrections, and submits for entry/import.
Why This Works for JDE Enterprises
AI in the enterprise only works when it’s designed for your systems, your data, and your constraints. Here’s how ERP Suites makes that possible:
Built Around JD Edwards—Not Adapted to It
Most AI tools struggle with ERP complexity. Our agents are built specifically for JD Edwards, understanding its data structures, orchestrations, and business workflows from day one.
→ Faster adoption and more reliable outcomes
Autonomous Execution with Built-In Control
These agents don’t just assist, they act. By combining AI with orchestrations, business rules, and approvals, they execute tasks within defined guardrails.
→ Real automation with control
Dedicated JD Edwards and AI Experts
Unlike generic AI providers, ERP Suites combines one of the industry's most experienced JD Edwards consulting teams with a dedicated AI practice focused exclusively on designing, deploying, and optimizing enterprise AI solutions.
→ Deep JD Edwards knowledge. Proven AI expertise.
Stay Within the Oracle Ecosystem
ERP Suites AI agents are built on Oracle technologies and designed to work seamlessly within the Oracle ecosystem. By leveraging Oracle Cloud Infrastructure, Oracle AI services, and JD Edwards orchestrations, organizations can extend AI capabilities without introducing disconnected platforms or unnecessary complexity.
→ Maximize your Oracle investment
OCI Performance Without the Overhead
Agents run on Oracle Cloud Infrastructure using high-performance GPU compute and low-latency networking, enabling fast, scalable execution across complex workflows without managing infrastructure.
→ High performance, simplified
Oracle-Recognized AI Expertise
ERP Suites has earned Oracle Service Expertise designations in Artificial Intelligence and OCI Artificial Intelligence, validating our ability to build, deploy, and manage enterprise AI solutions within the Oracle ecosystem. These certifications reflect our commitment to delivering secure, scalable, and production-ready AI solutions.
→ Trusted Oracle AI expertise
The ERP Suites AI Platform
The ERP Suites AI Platform is a fully managed SaaS solution that eliminates the complexity of building, hosting, securing, and maintaining enterprise AI.
It provides a single foundation for managing, securing, and scaling AI across JD Edwards and the enterprise. Start with one agent, one use case, or one department, and expand over time without rebuilding your architecture. The result is a scalable digital workforce designed for long-term growth and innovation.
AI Agent Security
ERP Suites AI agents are designed around a simple principle: the agent is not trusted by default. Rather than creating a new access layer, AI operates as a controlled execution layer within your existing JD Edwards security framework. Every action is tied to an authenticated user, validated against existing permissions, executed through approved paths, and fully traceable from request to completion.
User-Bound Identity
Every action is tied to an authenticated JD Edwards user.
Approved Execution Paths
Agents only execute approved JDE functions and orchestrations.
No Stored Credentials
Access is session-based using temporary authentication tokens.
Full Auditability
Every request and action is logged and traceable.
Data Isolation
Customer data remains isolated and is never used to train public models.
What Does Deployment Look Like?
Successful AI initiatives start with defining a business problem. ERP Suites works with your team to identify high-impact opportunities, evaluate potential ROI, and determine where AI agents can deliver measurable value. Our structured deployment approach is designed to deliver results quickly.
Discovery & Use Case Identification
Work with ERP Suites experts to identify business challenges, process bottlenecks, and automation opportunities. We help prioritize use cases based on business value, implementation effort, and expected ROI.
Solution Design & Planning
Determine which AI agents are the best fit. We define success criteria, required integrations, security requirements, and deployment scope before implementation begins.
Rapid Configuration & Integration
Pre-built AI agents are designed for fast deployment. ERP Suites configures the agent, connects it to your JD Edwards environment and supporting business systems, and prepares it for production using proven workflows and best practices.
Validation & Deployment
Before go-live, workflows, permissions, integrations, and expected outcomes are validated to ensure the solution performs as intended. Once approved, the agent is deployed and made available to users.
Optimization & Expansion
After deployment, ERP Suites monitors performance, gathers feedback, and helps identify additional opportunities for automation. Start with one use case and expand over time without rebuilding your architecture.
How Much Do AI Agents Cost?
The pricing below is intended to provide a general estimate of what organizations can expect when deploying AI solutions with ERP Suites. Final pricing is determined by factors such as business requirements, integrations, implementation scope, and deployment complexity. All solutions include access to our fully managed AI platform, hosting, security, support, and ongoing platform enhancements.
1 AI Agent
$5,000 - $7,500
per month
AI Agent Implementation
$50,000 - $100,000
one time cost
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
JD Edwards AI Agents Explained
Do AI agents run in our JD Edwards environment?
No. AI Agents run in a secure Oracle Cloud environment managed by ERP Suites, with isolated compartments per customer. They interact with JD Edwards using native integration patterns, so you get enterprise control without deploying AI infrastructure internally.
Is this a custom AI build or a SaaS offering?
This is a managed, SaaS-style offering. Agents are pre-built and production-ready, not custom models developed inside your environment.
How are customers isolated in a shared tenancy?
Each customer is deployed in a dedicated OCI compartment with strict isolation, governance, and auditability built into the architecture.
How do AI agents respect JDE security and approvals?
Agents operate using existing JDE security models, roles, and approval workflows. They don’t bypass controls—human oversight and approvals remain where required.
Are AI agent actions auditable?
Yes. Agent activity is logged, traceable, and auditable, supporting financial controls and compliance requirements.
Is this suitable for regulated environments?
Yes. The architecture is designed with enterprise governance in mind and supports regulated and compliance-driven environments.
Are AI agents fully autonomous from day one?
They are designed for full autonomy, but teams can start with added human review or approval steps during a “prove it” stage and reduce oversight as trust is established.
Can we control what agents are allowed to do?
Yes. Scope, permissions, and exception handling are defined up front so agents operate within clear boundaries.
What happens if an agent encounters an exception?
Agents escalate exceptions for human review rather than forcing a decision, ensuring control is maintained.
How do AI agents integrate with JD Edwards?
Agents use proven JDE integration patterns such as Orchestrator and AIS, along with other trusted methods where appropriate—no screen scraping or bolt-on tools.
Will this affect future JDE upgrades?
No. Because agents use native integration patterns and avoid custom bolt-ons, they reduce friction during upgrades rather than increasing it.
Does this replace JDE Orchestrations or existing automation?
No. AI Agents use orchestrations as part of execution. Orchestrations remain foundational; agents add decision-making and autonomy on top.
How many AI agents can we deploy?
Most teams start with 10–20 agents and expand over time. The platform is designed to scale to 50+ agents as needs grow.
Can we deploy agents incrementally?
Yes. Agents are modular and can be introduced gradually without re-architecting the environment.
Who manages the AI agents over time?
ERP Suites manages deployment, monitoring, updates, and optimization as part of a managed service.
What does our team need to maintain internally?
Very little. Teams focus on oversight and outcomes, not AI infrastructure or model management.
Is our data used to train public AI models?
No. Customer data remains isolated and governed within the enterprise AI environment.
Are these generic LLMs or JDE-specific models?
Agents are purpose-built for JDE workflows and enterprise data, not generic chatbots trained on public datasets.