The architecture decisions and governance patterns that determine whether enterprise AI works in production.
17+ years enterprise · Enterprise-Grade, Startup Speed · Australian market
Latest
A practical reference for enterprise AI practitioners — covering the core vocabulary, architecture patterns, governance concepts, and Australian regulatory context that come up in every serious enterprise AI discussion.
An architecture analysis of OutSystems Agent Workbench for enterprise — practical patterns for tool design, governance integration, and the approaches that make early use cases viable in regulated environments.
Enterprise teams are obsessing over which LLM to run. The real question is how you govern what agents do with access to your systems — a case for governance-first agent design in regulated Australian environments.
New posts on enterprise AI design, development, infrastructure and governance — delivered when it matters. No noise.
What we cover
Agentic systems architecture — patterns, trade-offs and the design decisions that determine whether enterprise AI holds up in production.
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Building agentic applications — from tool selection and orchestration to delivery patterns for regulated enterprise environments.
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The AI stack beneath the application — vector search, document intelligence, model deployment and enterprise integration patterns.
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Policies, audit trails and human-in-the-loop patterns for AI agents operating in regulated environments.
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