Enterprise architecture patterns for AI integration in government
Most AI failures are architecture failures. These are the patterns we use to design AI systems that integrate cleanly with existing government platforms and data infrastructure.
Straight talk for Australian government and enterprise teams navigating AI adoption - no hype, no vendor spin.
Most AI failures are architecture failures. These are the patterns we use to design AI systems that integrate cleanly with existing government platforms and data infrastructure.
As AI systems enter government environments, how do the Essential Eight controls apply? We break down the gaps and what additional controls AI workloads require.
Employees are already using AI tools - with or without approval. Here's how to identify shadow AI usage, assess the risk, and build a governance response that works.
Before you invest in AI tooling, you need an honest picture of where you stand. This is the framework we use to assess data quality, governance maturity, and delivery capability.
Data governance is boring until it isn't. When your AI model produces biased outputs because of ungoverned training data, you'll wish you'd done this first.
A free, practical checklist for Australian government and enterprise teams assessing AI governance readiness.
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