Architecture & Patterns
How enterprise AI systems are actually built — patterns, anti-patterns, and reference architectures observed in production.
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Topics
The publication’s coverage areas. Each topic threads research, briefings, references, and field notes into a single line of enquiry.
RAG & Retrieval
Production retrieval-augmented generation: vector stores, hybrid search, evaluation, and the architectural choices that hold at scale.
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Agents & Agentic Workflows
Where agentic systems work in production, where they stall, and what their economics actually look like in practice.
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Evaluation & Observability
Eval frameworks, online evaluation, and observability stacks for LLM-backed systems running in real environments.
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Operating Models
How AI changes the shape of enterprise operating models, teams, and delivery — including TOGAF-aligned frameworks.
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Governance & Risk
Governance structures, risk controls, and lifecycle management for enterprise AI deployments.
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Platform Choice
Microsoft, AWS, GCP, open source — vendor-independent analysis of platform decisions for enterprise AI.
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Cost & Economics
Unit economics of enterprise AI: token cost, infrastructure cost, and total cost of ownership over time.
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Case Studies
Named or pseudonymous deployments analysed in depth — what was built, what worked, what didn't.
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Industry Lenses
How enterprise AI is unfolding in media, financial services, public sector, and professional services.
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