# Oracle PeopleSoft Private AI Layer Blueprint Generator

> Source: https://netray.co/tools/peoplesoft-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 Oracle PeopleSoft version, database, hosting and users to get a shareable architecture plan for a private, on-prem AI assistant.

## Category

oracle

## Erp

Oracle PeopleSoft

## Audience

- CIO
- IT architect
- ERP administrator
- Security officer

## Tool

**Kind:** template

**Output:** document

**Fields:**

#### Company name

**Key:** company

**Type:** text

**Default:** Summit Defense Electronics

#### System version

**Key:** version

**Type:** select

**Options:**

- FSCM 9.2 on PeopleTools 8.60
- FSCM 9.2 on PeopleTools 8.58 or 8.59
- FSCM 9.2 on PeopleTools 8.57 or earlier
- HCM 9.2

**Default:** FSCM 9.2 on PeopleTools 8.60

#### Database or engine

**Key:** database

**Type:** select

**Options:**

- Oracle Database
- Microsoft SQL Server
- IBM Db2 LUW
- IBM Db2 for z/OS

**Default:** Oracle Database

#### 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:** 1200

#### Sites, plants or entities

**Key:** sites

**Type:** text

**Default:** 3 business unit groups, 5 sites

#### Main use cases

**Key:** use_cases

**Type:** textarea

**Default:** Purchase order and voucher status, supplier lookups, ledger balances by department, requisition tracking, search of file attachments

#### Data that must never leave the site

**Key:** never_leave

**Type:** textarea

**Default:** Supplier pricing, unreleased financials, any HCM personal data

#### 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: Oracle PeopleSoft {{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 Oracle PeopleSoft
- Notes

**Rows:**

**0:** Data access path

**1:** Query Access Services and Integration Broker for user-scoped lookups; read-only replica for bulk reads; Component Interfaces for approved writes

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

**0:** Retrieval index

**1:** File attachments and shared documents, with business unit as the access 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 tools for purchasing, payables and ledger with effective-date handling; writes through Component Interfaces after approval

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

**0:** Identity and permissions

**1:** OPRID, roles and row-security classes resolved per call; security views joined on every replica query

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

**0:** Audit

**1:** Log of OPRID, tool, parameters, row counts and answer; retain per finance policy

**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:** OPRID, roles and row-security classes resolved per call; security views joined on every replica query

**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 OPRID, tool, parameters, row counts and answer; retain per finance policy

**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 PeopleTools release is in production and is Integration Broker configured?
2. Which PS Queries are already registered for Query Access Services?
3. How are file attachments stored (database tables or an external repository)?
4. Is HCM data in scope, and has the privacy owner approved purposes?
5. Are there plans to move to Fusion that limit the investment horizon?

#### 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 Oracle PeopleSoft 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 Oracle PeopleSoft

**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: Query Access Services and Integration Broker for user-scoped lookups; read-only replica for bulk reads; Component Interfaces for approved writes. 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 Oracle PeopleSoft 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 Oracle PeopleSoft?

**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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