Enterprise AI Blueprint Library

Production-grade architecture blueprints, decision frameworks and implementation guides for enterprise AI engineering teams. Built for practitioners — not presentations.

Architecture-FirstProduction-GradeGovernance-AwarePractitioner-Built

Production-Ready

Retrieval Architecture

Enterprise RAG Systems

Production-grade Retrieval-Augmented Generation architecture for enterprise knowledge systems.

Full architecture for designing, deploying and governing RAG systems at enterprise scale — covering chunking strategies, vector store selection, hybrid search, re-ranking, evaluation and observability.

Data LayerModels LayerObservability Layer

RAGVector StoresHybrid SearchChunkingEvaluation

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Regulatory-Aligned

Governance Architecture

AI Governance Framework

Enterprise AI governance operating model aligned to EU AI Act, ISO 42001 and NIST AI RMF.

A complete governance architecture covering AI risk classification, model inventories, accountability matrices, bias evaluation, ethics frameworks, board reporting and regulatory compliance.

Governance LayerObservability Layer

EU AI ActISO 42001Model RiskComplianceEthics

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Enterprise-Grade

Agent Architecture

Agentic AI Systems

Reference architecture for building production autonomous agent systems with safety controls.

End-to-end blueprint for designing agentic AI systems: agent types, tool registries, memory architectures, multi-agent coordination, human-in-the-loop controls, observability and failure modes.

Models LayerAgents LayerObservability Layer

LLM AgentsTool UseMemoryMulti-AgentHITL

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Production-Ready

Infrastructure Architecture

AI Infrastructure Architecture

Cloud, hybrid and on-premise AI infrastructure design for enterprise-scale model deployment.

Infrastructure blueprint covering GPU provisioning, model serving, inference optimisation, MLOps pipelines, feature stores, model registries and sovereign deployment patterns.

Data LayerModels LayerObservability Layer

GPU InfraModel ServingMLOpsSovereign AIFeature Store

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Operations-Grade

Observability Architecture

AI Observability & MLOps

Production AI monitoring, drift detection, evaluation pipelines and continuous model governance.

Full observability architecture for production AI: model performance monitoring, data drift, concept drift, evaluation frameworks, alerting, SLOs, CI/CD for ML and experiment tracking.

Observability LayerGovernance Layer

Drift DetectionModel MonitoringEvaluationCI/CD MLSLOs

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Advanced Architecture

Multi-Agent Architecture

Multi-Agent AI Systems

Coordination patterns, communication protocols and governance for enterprise multi-agent deployments.

Architecture blueprint for designing multi-agent systems: orchestrator-worker patterns, agent-to-agent communication, shared memory, conflict resolution, trust hierarchies and production safety.

Agents LayerModels LayerGovernance Layer

Agent CoordinationMCPA2A ProtocolTrust HierarchiesSafety

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