Enterprise AI Architecture Patterns

Agent Checkpoint and Recovery

The Agent Checkpoint and Recovery Pattern defines the durable execution architecture that…

Agent Identity and Authorisation

The Agent Identity and Authorisation Pattern defines the security architecture governing who…

Agent Sandboxing

The Agent Sandboxing Pattern defines the secure execution environment that isolates AI…

Agent Tool Registry

The Agent Tool Registry Pattern defines the centralised catalogue and invocation framework…

EAAPL-AGT010 — AI Agent Cost Governance Architecture

Agentic AI systems that autonomously execute multi-step workflows—calling tools, querying APIs, writing…

Event-Driven Agent

The Event-Driven Agent Pattern defines the architecture for AI agents that are…

Long-Running Agent

The Long-Running Agent Pattern defines the architecture for AI agents that execute…

Reflexive Agent

The Reflexive Agent Pattern defines an architecture in which an AI agent…

Single Agent Pattern

The Single Agent Pattern defines the canonical architecture for a single autonomous…

Stateful Agent Memory

The Stateful Agent Memory Pattern defines the multi-tier memory architecture that allows…

APRA CPS230 AI Compliance

APRA Prudential Standard CPS230 Operational Risk Management (effective 1 July 2025) imposes…

EAAPL-CMP002 — APRA CPS234 AI Security Architecture

Australian Prudential Regulation Authority (APRA) Prudential Standard CPS234 Information Security applies in…

EAAPL-CMP003 — EU AI Act Compliance Architecture

The EU Artificial Intelligence Act (Regulation (EU) 2024/1689) establishes legally binding obligations…

EAAPL-CMP004 — Privacy-Preserving AI Architecture

AI systems that ingest, process, or generate personal information must comply with…

EAAPL-CMP005 — ISO/IEC 42001 AI Management System Implementation

ISO/IEC 42001:2023 is the first international standard providing requirements for an Artificial…

EAAPL-CMP006 — NIST AI Risk Management Framework Implementation

The NIST AI Risk Management Framework 1.0 (NIST AI RMF, published January…

EAAPL-CMP007 — Data Residency for AI Architecture

AI systems introduce new vectors for cross-border data transfer that existing data…

EAAPL-CMP008 — GDPR-Compliant AI Architecture

The General Data Protection Regulation (Regulation (EU) 2016/679) applies in full to…

Enforcement of Chapter V under the EU AI Act

This page aims to provide an overview of the EU AI Act’s…

Overview of Guidelines for GPAI Models

On 18 July 2025, the European Commission published draft Guidelines clarifying key…

Overview of the Code of Practice

The Code of Practice offers a clear framework to help developers of…

What the EU AI Act Means for Staffing Businesses

If your business uses AI to screen, rank, or match candidates, the…

AI Data Mesh Integration

Enterprises adopting Data Mesh architectures face a structural challenge when integrating AI:…

AI Training Data Governance

AI training data governance is the foundation of responsible AI.

Data Lineage for AI

Regulators, auditors, and risk committees increasingly demand that organisations explain not just…

Data Quality for AI

AI systems are uniquely sensitive to data quality failures in ways that…

Federated Learning Pattern

Federated learning enables multiple organisations or devices to collaboratively train a shared…

Privacy by Design for AI Data

Privacy-by-design mandates that privacy controls are embedded into AI data pipelines at…

Real-Time Feature Engineering

AI models that make real-time decisions — fraud detection, personalised recommendations, credit…

Synthetic Data Generation

Many of the most valuable enterprise AI use cases — fraud detection,…

AI Approval Workflow

The AI Approval Workflow establishes a multi-stage, evidence-gated approval process that every…

AI Audit Trail

The AI Audit Trail pattern establishes an immutable, tamper-evident log of every…

AI Ethics Review Board

The AI Ethics Review Board (AERB) is a standing organisational governance structure…

AI Incident Management

The AI Incident Management pattern implements a specialised incident management lifecycle for…

AI Model Register

The AI Model Register is the foundational governance artefact for any enterprise…

AI Policy Enforcement

The AI Policy Enforcement pattern implements runtime governance controls that ensure AI…

AI Regulatory Compliance Gateway

The AI Regulatory Compliance Gateway is a centralised, runtime compliance validation layer…

AI Risk Assessment Framework

The AI Risk Assessment Framework provides a systematic, repeatable methodology for evaluating…

Model Bias Detection

The Model Bias Detection pattern implements a continuous pipeline for detecting, measuring,…

NIST Launches Centers for AI in Manufacturing and Critical Infrastructure

NIST has expanded its collaboration with the nonprofit MITRE Corporation as part…

Providers of General-Purpose AI Models — What We Know About Who Will Qualify

This content is outdated – Draft guidelines have now been published by…

Responsible AI Framework

The Responsible AI Framework operationalises the five core responsible AI principles—fairness, transparency,…

Why Join the EU AI Scientific Panel?

The European Commission has published a call for applications for a scientific…

Active Learning Loop

The Active Learning Loop pattern establishes a structured, closed-loop process by which…

AI Confidence Threshold Routing

The AI Confidence Threshold Routing pattern dynamically routes inference requests to different…

Annotation and Feedback Loop

The Annotation and Feedback Loop pattern defines the end-to-end architecture for collecting…

Collaborative AI Decision

The Collaborative AI Decision pattern defines an architecture in which humans and…

Human Approval Gateway

High-stakes AI systems — those authorising transactions, making clinical recommendations, or influencing…

Human Escalation Pattern

The Human Escalation Pattern defines the architecture for routing AI-handled requests to…

Human Override Pattern

The Human Override Pattern provides a lightweight, universally applicable mechanism by which…

Hybrid Intelligence Pattern

The Hybrid Intelligence Pattern defines an architecture for systematically allocating each component…

EAAPL-INT001 — Enterprise AI Service Bus

The Enterprise AI Service Bus pattern establishes an event-driven integration backbone that…

EAAPL-INT002 — Legacy System AI Augmentation

The Legacy System AI Augmentation pattern adds AI capabilities to existing enterprise…

EAAPL-INT003 — AI-Powered API Composition

AI-Powered API Composition uses large language models with function-calling capability to dynamically…

EAAPL-INT004 — Real-Time AI Stream Processing

Real-Time AI Stream Processing applies AI inference directly to streaming data pipelines,…

EAAPL-INT005 — Batch AI Processing

Batch AI Processing applies AI inference to large volumes of data through…

EAAPL-INT006 — AI Webhook Pattern

The AI Webhook Pattern delivers AI-generated notifications, inference results, and asynchronous AI…

EAAPL-INT007 — AI Circuit Breaker

EAAPL-INT008 — Bidirectional AI Sync

EAAPL-KNW001: Enterprise Knowledge Graph

An Enterprise Knowledge Graph (EKG) is a persistent, curated, machine-readable representation of…

EAAPL-KNW002: Semantic Data Layer

The Semantic Data Layer (SDL) is a governed translation layer that sits…

EAAPL-KNW003: AI Knowledge Corpus Management

The AI Knowledge Corpus Management pattern defines the complete operational lifecycle for…

EAAPL-KNW004: Vector Database Management

Vector databases are the retrieval backbone of enterprise AI systems.

EAAPL-KNW005: Knowledge Graph for Explainability

The Knowledge Graph for Explainability pattern uses a structured knowledge graph to…

EAAPL-KNW006: Corpus Quality Assurance

Corpus Quality Assurance (CQA) is the automated pipeline that evaluates the fitness…

EAAPL-MDL001 — Model Versioning and Lineage Tracking

AI models are long-lived, continuously evolving artefacts.

EAAPL-MDL002 — Shadow Model Deployment

Shadow model deployment allows an organisation to validate a new AI model…

EAAPL-MDL003 — Canary Model Release

Canary model release is the controlled, incremental exposure of a new AI…

EAAPL-MDL004 — Model Rollback

Model rollback is the capability to revert production AI model serving to…

EAAPL-MDL005 — Multi-Model Ensemble

Multi-model ensemble combines the outputs of two or more AI models to…

EAAPL-MDL006 — Fine-Tuning Pipeline

Fine-tuning is the process of adapting a pre-trained foundation model to an…

EAAPL-MDL007 — Model Compression and Optimisation

Model compression reduces the computational footprint of an AI model — memory…

EAAPL-MDL008 — Model Access Governance

Model access governance controls who can invoke, export, copy, and administer AI…

EAAPL-MAG001 — Multi-Agent Orchestration

EAAPL-MAG002 — Supervisor Agent

EAAPL-MAG003 — Human-in-the-Loop Agent

EAAPL-MAG004 — Agent Swarm

EAAPL-MAG005 — Debate Agent

EAAPL-MAG006 — Agent Handoff Protocol

EAAPL-OBS001 · AI Telemetry Architecture

AI systems present unique observability challenges that traditional APM tooling does not…

EAAPL-OBS002 · Prompt Monitoring

Prompts sent to large language models in production are the primary control…

EAAPL-OBS003 · Hallucination Detection

Large language models fabricate plausible-sounding content with confidence.

EAAPL-OBS004 · AI Incident Management

AI system failures are qualitatively different from traditional software failures.

EAAPL-OBS005 · Model Drift Detection

AI models degrade silently.

EAAPL-OBS006 · AI Cost Observability

AI inference costs have a fundamentally different cost structure than traditional compute:…

EAAPL-OBS007 · Distributed AI Tracing

AI pipelines are not single API calls.

EAAPL-OBS008 · AI Performance Benchmarking

AI system quality degrades silently between benchmarking events.

AI API Gateway

The AI API Gateway pattern establishes a purpose-built control plane that sits…

AI Experiment Tracking

AI systems that cannot demonstrate systematic evaluation before production deployment are a…

EAAPL-PLT010 — AI Developer Portal Architecture

Enterprise AI capabilities—LLM APIs, embedding services, vector stores, AI agent frameworks, fine-tuning…

Enterprise AI Platform

The Enterprise AI Platform pattern establishes a shared, governed infrastructure layer that…

Feature Store Integration

Feature stores solve a deceptively simple problem: when an ML model needs…

LLM Caching Layer

LLM inference is expensive and often redundant.

LLM Cost Control

LLM inference costs exhibit a dangerous property shared with no previous enterprise…

Model Routing

The Model Routing pattern establishes intelligent, policy-driven dispatch of AI inference requests…

Multi-Tenant AI Platform

When an AI platform serves multiple tenants—whether internal business units within an…

Prompt Version Control

Prompts are the primary programming interface for LLM-based systems, yet most organisations…

Agentic Retrieval-Augmented Generation

Agentic RAG places a reasoning AI agent in the orchestration loop of…

Contextual RAG with Metadata Filtering

Contextual RAG with Metadata Filtering extends the foundational RAG pattern with a…

Enterprise Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG) is the foundational architecture pattern that grounds Large Language…

Federated Retrieval-Augmented Generation

Federated RAG enables retrieval across multiple organisationally or geographically distributed knowledge bases…

Graph Retrieval-Augmented Generation

Graph RAG combines vector-based semantic retrieval with structured knowledge graph traversal to…

Hybrid Retrieval-Augmented Generation

Hybrid RAG combines dense (semantic) vector retrieval with sparse (keyword-based BM25) retrieval…

Multi-Source Retrieval-Augmented Generation

Enterprise knowledge is never stored in a single system.

Multimodal Retrieval-Augmented Generation

Multimodal RAG extends the retrieval-augmented generation paradigm to knowledge corpora that include…

Secure Retrieval-Augmented Generation

Secure RAG is the enterprise access-control overlay that must be applied to…

Streaming Retrieval-Augmented Generation

Streaming RAG extends the foundational RAG architecture to continuously ingest and index…

Adversarial Input Defence

Adversarial Input Defence addresses a class of attacks specifically designed to manipulate…

AI Data Classification

AI Data Classification defines the automated detection, labelling, and enforcement architecture that…

AI Gateway

The AI Gateway pattern establishes a centralised, enterprise-grade control plane through which…

AI Output Filtering

AI Output Filtering is the post-generation inspection and transformation pipeline that evaluates…

LLM Input Sanitisation

LLM Input Sanitisation is a pre-processing pipeline that transforms raw application inputs…

Model Isolation

Model Isolation defines the architectural pattern for constraining the execution environment of…

Prompt Firewall

The Prompt Firewall is an inline defensive layer that inspects every user…

Secrets Management for AI

Secrets Management for AI addresses one of the most prevalent and consequential…

Secure Tool Invocation

Secure Tool Invocation defines the security architecture for AI agents that can…

Zero-Trust AI Pipeline

The Zero-Trust AI Pipeline applies the "never trust, always verify" security architecture…