# JD Edwards World Private AI Layer Blueprint Generator

> Source: https://netray.co/tools/jd-edwards-world-private-ai-layer-blueprint-generator
> Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems.
> Section: Free Tools

## Short answer

Fill in your JD Edwards World version, database, hosting and users to get a shareable architecture plan for a private, on-prem AI assistant.

## Category

oracle

## Erp

JD Edwards World

## Audience

- CIO
- IT architect
- ERP administrator
- Security officer

## Tool

**Kind:** template

**Output:** document

**Fields:**

#### Company name

**Key:** company

**Type:** text

**Default:** Prairie Gear and Machine

#### System version

**Key:** version

**Type:** select

**Options:**

- A8.1
- A7.3
- A7.2 or earlier

**Default:** A8.1

#### Database or engine

**Key:** database

**Type:** select

**Options:**

- IBM Db2 for i (V7R3 or later)
- IBM Db2 for i (V7R2 or earlier)

**Default:** IBM Db2 for i (V7R3 or later)

#### Hosting for the AI layer

**Key:** hosting

**Type:** select

**Options:**

- On-prem server
- Private cloud
- Air-gapped

**Default:** On-prem server

#### Named users

**Key:** users

**Type:** text

**Default:** 160

#### Sites, plants or entities

**Key:** sites

**Type:** text

**Default:** 2 plants, 1 distribution centre

#### Main use cases

**Key:** use_cases

**Type:** textarea

**Default:** Item availability, open order and PO status, vendor and customer lookup, ledger inquiry, search of spooled reports and PDFs

#### Data that must never leave the site

**Key:** never_leave

**Type:** textarea

**Default:** Costing, margin and vendor pricing data, customer contracts

#### GPU available

**Key:** gpu

**Type:** select

**Options:**

- None yet
- 1 data-centre GPU (80 GB class)
- 2 to 4 data-centre GPUs
- 8 or more GPUs
- Workstation-class GPU only

**Default:** None yet

#### Target go-live

**Key:** go_live

**Type:** text

**Default:** Q2 2027

**Blocks:**

#### Context

**Body:** Company: {{company}}
System: JD Edwards World {{version}} on {{database}}
Scale: {{users}} named users; {{sites}}
AI layer hosting: {{hosting}}; GPU position: {{gpu}}
Target go-live: {{go_live}}

Goal: add a private AI assistant on the existing system without moving data off-site. The assistant answers questions from live system data and documents, shows the data behind each answer, respects existing user permissions, and proposes changes for human approval.

#### Use cases in scope

**Body:** {{use_cases}}

#### Data that must stay on site

**Body:** {{never_leave}}

All model serving, indexing and logging for these data sets run inside the {{hosting}} boundary. No data is sent to an external model service.

#### Components

**Table:**

**Columns:**

- Component
- Design for JD Edwards World
- Notes

**Rows:**

**0:** Data access path

**1:** JDBC or ODBC to Db2 for i with a read-only profile; journal-fed off-box copy for heavy reads; batch input (Z) files for approved write-back

**2:** Reads are read-only; no direct writes to production tables

**0:** Retrieval index

**1:** Spooled reports, IFS and shared-drive PDFs, with company or business unit as the label

**2:** Embedding model runs locally; ACL stored with every chunk

**0:** Model serving

**1:** Open-weight model served with vLLM or Ollama on {{gpu}}

**2:** Size the model to the GPU; add a second node for availability

**0:** Tool server

**1:** Named read tools with Julian date, implied decimal and UDC decoding; draft documents only until approved for batch input

**2:** Named, parameterised tools; the model never writes free SQL

**0:** Identity and permissions

**1:** One narrow IBM i profile for the connection; end-user scope enforced in the tool server from a reviewed mapping table

**2:** Acceptance test with a restricted user and a super user

**0:** Audit

**1:** Log of user, tool, SQL text and answer on the Linux tool server; reviewed against IBM i audit journal entries

**2:** Append-only; reviewed by IT and the system owner

#### Security controls mapped to your inputs

**Table:**

**Columns:**

- Control
- Implementation
- Driven by

**Rows:**

**0:** Data residency

**1:** Model, index and logs inside the {{hosting}} boundary; no external API calls

**2:** Data that must not leave the site

**0:** Least privilege

**1:** Dedicated read-only account limited to listed objects

**2:** Use cases in scope

**0:** Permission mirroring

**1:** One narrow IBM i profile for the connection; end-user scope enforced in the tool server from a reviewed mapping table

**2:** {{users}} named users and roles

**0:** Network isolation

**1:** Model host has no internet route for air-gapped; inbound only from the tool server

**2:** Hosting choice

**0:** Write-back control

**1:** Drafts only, then supported APIs after named human approval

**2:** Use cases in scope

**0:** Auditability

**1:** Log of user, tool, SQL text and answer on the Linux tool server; reviewed against IBM i audit journal entries

**2:** Internal audit and system owner

#### Rollout plan

**Table:**

**Columns:**

- Phase
- Scope
- Exit criteria
- Typical duration

**Rows:**

**0:** 1. Read-only questions

**1:** 5 to 10 named tools and document search for a pilot group

**2:** Answers match the system for a restricted and an unrestricted test user

**3:** 6 to 10 weeks

**0:** 2. Drafts

**1:** Assistant prepares documents or change requests as text for review

**2:** Reviewers accept drafts with low edit rate; audit log complete

**3:** 4 to 8 weeks

**0:** 3. Approved actions

**1:** Supported write path, each action approved by a named person

**2:** No action executes without approval; rollback procedure tested

**3:** 6 to 10 weeks

#### Open questions for IT

**Body:** 1. Which libraries hold production data and which files are journaled?
2. How is World security configured today (menu, action code, file, program)?
3. Which custom RPG programs and batch interfaces already exist?
4. Is an off-box reporting copy acceptable, and which database will host it?
5. What CCSID and character conversion issues exist in the data?

#### Sign-off

**Signatures:**

- System owner
- IT architect
- Security officer
- Business sponsor

**Notes:** Planning document, not a design guarantee. Confirm object names, API availability and licensing for your exact version and patch level with your vendor documentation and DBA. Compliance with any regulation remains the responsibility of your organisation.

## Content

**Intro:** Answer a few questions about your JD Edwards World estate and this generator writes a complete architecture plan for a private AI layer: components, security controls, a three-phase rollout and the questions your IT team still has to answer. Everything is editable, and you can export it as a document.

**Sections:**

#### How to use it

**Body:** Enter your version, database, hosting model, user count and sites. Describe the use cases in plain words and list the data that must never leave the site. The blueprint copies those inputs into a context section, a component table, a controls table that traces each control back to your answers, and a rollout table. Review the draft with the system owner and security officer, edit the open questions, and use the export as the starting point for a design review.

#### What the plan assumes for JD Edwards World

**Body:** The design reads from a safe access path, indexes documents in a local vector store, serves an open-weight model on your own hardware, and exposes only named tools. The system-specific path is: JDBC or ODBC to Db2 for i with a read-only profile; journal-fed off-box copy for heavy reads; batch input (Z) files for approved write-back. Permissions are mirrored from the system so that the assistant never shows data a user could not open directly.

**Bullets:**

- Read-only by default; no direct writes to production tables
- Model and index run inside your boundary, with an air-gapped option
- Every question and tool call is logged for audit
- Writes are drafted first and approved by a person

#### Reading the output

**Body:** The context section is the summary a sponsor reads. The component table is for architects, and the controls table is for security and audit. The rollout table is deliberately conservative: phase 1 proves that answers are correct and permission-safe before any drafting or action. Durations are ranges that depend on data quality, licensing and how quickly access is granted.

#### Common mistakes

**Body:** Teams often start with the model and leave identity and data access for later. Reverse that: decide how permissions are mirrored first, test with a restricted user, and only then tune the model. Also avoid pointing the assistant at production tables, giving it free-form SQL, or skipping the audit log.

**Cta:** Want a second pair of eyes on this plan? Netray builds private AI layers on JD Edwards World and similar on-prem systems, and can review your draft with your team.

**Faq:**

#### Does this plan require sending data to the cloud?

**Answer:** No. The design keeps the model, index and logs inside your boundary. Hosting can be an on-prem server, a private cloud you control or an air-gapped network. You can still add cloud services later if your policy allows.

#### Which GPU do we need?

**Answer:** It depends on the model size and the number of simultaneous users. A modest estate usually starts with one or two data-centre GPUs. Use the companion sizing calculator to estimate it from your own numbers.

#### Can the assistant change data in JD Edwards World?

**Answer:** Only through supported interfaces and only after a named person approves the exact action. Phase 1 and 2 are read-only and drafting, so nothing writes to the system until you decide it should.

#### Is the output a finished design?

**Answer:** No. It is a structured starting point that your architects and DBAs should verify against your version, licensing and security policies before building.

## Search terms

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