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Vision Preview — In Development

Oracle incidents resolved
in minutes, not hours.

An agentic AI platform that autonomously diagnoses Oracle EBS and Fusion failures — and routes human-governed fixes through a built-in approval framework.

See How It Works → View Script Library
Platform Phases4
Risk Tiers3
Diagnostic Scripts65
Audit StandardSOX / ITGC
Unreviewed High-Risk Fixes0
4Platform Phases
3Risk Tiers
65Diagnostic Scripts
SOXCompliant Audit Trail
0Unreviewed High-Risk Fixes
The Problem

Oracle support is still manual. It doesn't have to be.

Every Oracle ERP team faces the same cycle: an incident fires, a consultant is called, scripts are run by hand, support notes are searched manually. The tools exist to automate all of it.

⏱ Hours Lost to Diagnosis

A DBA manually running diagnostic queries, cross-referencing Oracle Support notes, and assembling a root cause analysis takes hours. The platform does it in under five minutes.

🔍 Knowledge Lives in People

Every resolved incident is institutional knowledge — but it stays in someone's head or a disconnected ticket. The platform captures every resolution and makes it searchable for the next incident.

🔒 No Audit Trail for Fixes

Manual DBA fixes leave no signed record of who did what, why, and what changed. SOX and ITGC controls require exactly that — and the platform generates it automatically for every action.

📋 Oracle Support Notes Are Walls

My Oracle Support requires authentication, manual searching, and expert interpretation. The platform retrieves, ranks, and applies relevant support notes automatically for every detected error code.

⚡ Period Close Pressure

An unresolved invoice hold at month-end is not an AP problem — it is an executive problem. Fast, governed resolution is the difference between closing on time and a board-level conversation.

🔄 The Same Incidents Repeat

Without a knowledge base that learns from resolutions, the same ORA errors, the same holds, and the same interface failures recur indefinitely — treated as a new incident by the next consultant on the ticket.

How It Works

From incident alert to governed fix — fully automated.

The ORA-01652 incident below is a real example. The platform handles every step autonomously — and stops for human approval before touching production data.

Oracle AI Platform 8-Step Incident Flow — Incident Submitted, LLM Triage, Diagnostic Scripts, Root Cause, Oracle Support, Human Approval Gate, Fix Executed, Knowledge Stored

Every Oracle incident follows the same 8-step sequence. Step 6 is the only step that requires a human — every other step runs autonomously.

01
User → Support Portal

Incident Submitted

A user submits "Invoices stuck in INCOMPLETE status with ORA-01652." The portal captures the error code, module, and description as a structured JSON payload sent to n8n via webhook.

02
n8n → LLM Router

Triage & Classification

An LLM-based router agent classifies the incident domain and dispatches the correct diagnostic workflow — in this case, a DBA-level tablespace issue.

03
Script Agent → Oracle DB

Diagnostic Scripts Execute

The platform triggers the Tablespace Diagnostic Script from the 65-script library. SQL runs against the Oracle database and returns structured JSON for LLM analysis.

04
LLM Analyst → Claude / GPT-4o

Root Cause Identified

Result: TEMP tablespace at 99.8% utilization. Root cause confirmed. Resolution path generated: extend TEMP tablespace by 5GB.

05
Playwright → My Oracle Support

Oracle Support Knowledge Retrieved

The browser agent authenticates into My Oracle Support, searches ORA-01652 TEMP Tablespace, and retrieves the top-ranked knowledge article — without human involvement.

06
HITL Node → DBA via Slack

Human Approval Required

Because ALTER SYSTEM is a High-Risk action, the platform pauses. The lead DBA receives a Slack notification with the AI reasoning and an Execute Fix button. Nothing runs until they approve.

07
n8n → OracleDB Node

Fix Executed & SOX Audit Logged

Upon approval, the tablespace extension executes. A signed audit record captures who approved, what SQL ran, and the before/after state.

08
RAG → Milvus Knowledge Base

Resolution Stored for Next Time

The complete resolution is vectorized and stored in Milvus. The next ORA-01652 incident retrieves this resolution in seconds.

Full Incident Walkthrough →
Governance Framework

Three risk tiers. Zero unreviewed production changes.

Every platform action is classified before execution. The traffic light system determines whether the platform proceeds autonomously or pauses for human approval.

🟢 Low Risk — Read-Only

Fully Autonomous

Diagnostic and read-only actions run without human involvement. Results are reported directly to the submitting user with no approval step required.

SELECT tablespace_name, used_percent
FROM dba_tablespace_usage_metrics;
✓ Report sent automatically
🟡 Mid Risk — Non-Destructive

Human-on-the-Loop

Non-destructive management actions auto-execute, but an Instant Rollback button remains available to the admin for a defined time window.

Re-run failed Concurrent Program;
purge old log files from spool.
⚡ Auto-execute + rollback available
🔴 High Risk — Data Correction

Human-in-the-Loop

Any action touching production data or system configuration requires explicit admin approval. The platform serializes state and waits for a signed decision.

UPDATE stuck interface table;
ALTER SYSTEM extend tablespace.
🔒 Admin approval required
Full Governance Framework →
Platform Architecture

Four phases. One complete system.

The platform is designed in four distinct, interlocking phases — each buildable independently, each adding a layer of autonomous capability.

Phase 01 — Core Architecture

System Architecture & Data Flow

The foundational event-driven architecture: ingestion, diagnostic, intelligence, and delivery layers. n8n orchestrates the full flow from incident submission to resolution delivery.

Explore Architecture →
Phase 02 — Knowledge Retrieval

RAG Strategy & Vector Knowledge Base

Semantic chunking of Oracle diagnostic outputs, Milvus vector storage with metadata filtering, and a RAG pipeline that improves with every resolved incident.

Explore Knowledge Base →
Phase 03 — Browser Automation

Oracle Support Integration

A containerized Playwright browser agent that authenticates into My Oracle Support, retrieves top-ranked knowledge articles, and returns structured resolution content to the workflow.

Explore Integration →
Phase 04 — Governance

Approval Framework & Audit Trail

The traffic light risk classification system, the Human-in-the-Loop Safe-Stop sequence, the Decision Tower approval UI, and a signed SOX/ITGC-compliant audit record for every platform action.

Explore Governance →
Technology

Built on proven enterprise tools.

Every component is production-grade, self-hostable, and designed for Oracle ERP environments where security and compliance are non-negotiable.

⚙️
n8n — Orchestration

Self-hosted workflow engine managing the full incident lifecycle from webhook ingestion through approval routing to fix execution.

🧠
Claude / GPT-4o — Intelligence

LLM analysis of diagnostic output for root cause identification, resolution synthesis, and knowledge base article generation.

🌐
Playwright — Browser Automation

Containerized stealth browser agent for authenticated My Oracle Support retrieval — session-persistent, MFA-aware, and headless by default.

🗄️
Milvus — Vector Storage

High-performance vector database for Oracle diagnostic knowledge with metadata filtering by ERP version, module, and error code.

🔗
JDBC / REST / SSH — ERP Connectivity

Native Oracle EBS connectivity via JDBC and SQL*Plus. Oracle Fusion via REST APIs. Application tier access via SSH for system-level diagnostics.

📜
65 Diagnostic Scripts — Foundation

Powered by the same production-grade scripts at scripts.williamagreen.com — peer-reviewable, versioned, and tested across 11 Oracle modules.

Full Technology Stack →
Insights

From the platform build.

Technical deep-dives on building an autonomous Oracle support system — written for DBAs, Oracle architects, and IT leaders.

Case Study

ORA-01652 Resolved in 4 Minutes: How AI Changes Oracle DBA Work

A step-by-step breakdown of how the platform takes a tablespace error from alert to governed fix without a human running a single query.

February 26, 2026 · 8 min read
Governance

Human-in-the-Loop AI for Oracle ERP: The Safe-Stop Model

Why autonomous Oracle support without a human approval layer is the wrong architecture — and how the Safe-Stop sequence makes it safe for production.

February 26, 2026 · 7 min read
Compliance

SOX Compliance and AI Automation: Built-In Audit Trails for Every Oracle Fix

How the platform satisfies SOX/ITGC controls with signed audit records, separation of duties, and JWT-secured approval flows.

February 26, 2026 · 6 min read
View All Posts →

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