EAAPLEnterprise AI Architecture Pattern Library

Enterprise AI Architecture Patterns

Most AI incidents are avoidable — they repeat because teams don't know the proven fix exists. 138 battle-tested patterns across 16 domains, mapped to APRA, EU AI Act, ISO 42001, NIST AI RMF, and GDPR.

Free · a few minutes · no sign-in required

Where does your org actually stand?

Quick check · no sign-inQ1/4

What industry are you in?

Three real patterns from the library — not a demo

AI GovernanceIndustry Standard

AI Model Register

APRA CPS230EU AI ActISO/IEC 42001

The AI Model Register is the foundational governance artefact for any enterprise operating AI systems at scale. It provides a single, authoritative inventory of every AI model—including third-party, open-source, and internally developed models—deployed or approved for deployment across the organisat

Read the full pattern →
CoversAPRA CPS230APRA CPS234EU AI ActISO/IEC 42001NIST AI RMFPrivacy Act (AU)GDPR

Use it where you already work

Not another dashboard to remember to check. The library is queryable from your AI assistant and enforceable in your CI pipeline today.

Claude · Cursor · Copilot

Query patterns from your AI assistant

An MCP server, published on npm — no clone, no build. Your assistant can search the library, pull a pattern, or check a regulatory update mid-conversation.

{
  "mcpServers": {
    "aipatterns": {
      "command": "npx",
      "args": ["-y", "aipatterns-mcp-server"]
    }
  }
}
aipatterns-mcp-server on npm →
GitHub Actions

Gate every PR on governance controls

Scans changed files for AI surface area, checks for the actual governance pattern in code — not just a filename — and posts a compliance report on the PR.

on:
  pull_request:
    types: [opened, synchronize]
jobs:
  governance:
    uses: eaapl/governance-action@v1
    with:
      api_key: ${{ secrets.EAAPL_API_KEY }}
Get an API key →

From AI risk to implementation

EAAPL is not a reading list. It is a structured path from identifying a risk to proving you've addressed it.

I

Assess your gaps — free, no sign-in

Answer questions about your AI systems and governance maturity. Get an instant risk score and your top 3 gaps, each mapped to the exact pattern that closes it.

Start assessment →
II

Implement the patterns that matter

Not a generic checklist — every gap in your report links straight to the pattern for it, with the regulation it satisfies and the incidents it prevents.

Browse the library →
III

Track adoption, prove governance

Create a free account, log which patterns are live, and export board-ready evidence — an APRA evidence package or a full audit trail.

Set up your tracker →
IV

Generate the architecture

Ready to build? Sign in and generate a starting architecture — diagram, components, and regulatory flags — for your specific use case.

Generate architecture →

Where most teams begin

Three foundational patterns

Build these before anything else. They underpin every other pattern in the library.

View all 138 patterns →

Real incidents, preventable patterns

Every pattern in this library exists because an enterprise got it wrong first.

Air Canada chatbot fabricated a refund policy

Tribunal ordered compensation. Reputational damage and legal liability from a hallucinated AI response.

Samsung engineers leaked proprietary source code via ChatGPT

Confidential IP sent to an external LLM. No egress controls, no policy — data permanently outside the perimeter.

Agentic AI executed irreversible financial transactions autonomously

No human approval gate. Automated decisions with real-world consequences and no rollback path.

View all AI incidents →

16 architecture domains

From foundational governance to agentic orchestration.

Agentic AI

10 patterns

Autonomous agents, tool registries, sandboxing, and agent identity

Agentic Workflows

15 patterns

ReAct loops, sequential chains, parallel fan-out, routing, planning, and tool orchestration patterns

Regulatory Compliance

8 patterns

APRA CPS230/234, EU AI Act, ISO 42001, NIST AI RMF, and GDPR frameworks

Data Architecture

8 patterns

Training data governance, lineage, quality, and privacy-by-design

AI Governance

10 patterns

Model lifecycle, risk classification, policy enforcement, and audit trails

Human-in-the-Loop

8 patterns

Approval gateways, override patterns, confidence routing, and feedback loops

AI Integration

8 patterns

Service buses, circuit breakers, legacy augmentation, and batch processing

Knowledge Management

6 patterns

Knowledge graphs, corpus management, vector databases, and semantic layers

Model Context Protocol

5 patterns

MCP server design, gateway patterns, multi-server orchestration, auth/authz, and stateful session management

Model Management

8 patterns

Versioning, rollback, canary releases, fine-tuning, and ensemble patterns

Multi-Agent Systems

6 patterns

Orchestration, swarm patterns, debate agents, and handoff protocols

Observability & Monitoring

11 patterns

Telemetry, drift detection, hallucination monitoring, and cost visibility

Platform Engineering

10 patterns

API gateways, cost control, developer portals, caching, and multi-tenant platforms

Retrieval-Augmented Generation

10 patterns

Retrieval architectures, vector search, grounding, and citation infrastructure

Reasoning Models

5 patterns

Extended thinking gates, think-budget allocation, reasoning-then-act, cost-quality routing, and multi-step verification

AI Security

10 patterns

Zero-trust pipelines, input/output defence, secrets management, and access control

Compliance Mapping

Regulatory coverage

Every pattern is mapped to applicable frameworks. Demonstrate compliance readiness from day one.

RegulationScopePatterns
APRA CPS230Operational Resilience12
APRA CPS234Information Security18
EU AI ActHigh-Risk AI Obligations76
ISO/IEC 42001AI Management System66
NIST AI RMFAI Risk Management59
Privacy ActData Privacy23
GDPRData Protection12
View Compliance Patterns →