by CPI Staff | Oct 12, 2026 | AI, Blog, Microsoft AI Foundry
Most mid-market Australian organisations are past the AI proof-of-concept stage. The models work. The board is asking for the next phase. And suddenly the questions nobody planned for are piling up. Where do the models run? Who approves new deployments? How does the...
by CPI Staff | Oct 12, 2026 | AI Governance & Risk Management, Azure Monitor, Blog, Microsoft AI Foundry
In this blog post How to Monitor and Evaluate Microsoft Foundry Agents Safely we will explain how to determine whether an AI agent is genuinely ready for your employees, customers and business systems. The problem is that a successful demonstration proves very little....
by CPI Staff | Oct 12, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft AI Foundry
In this blog post How to Evaluate Groundedness Tool Accuracy and Task Completion we will explain how to determine whether a Microsoft Foundry agent is genuinely ready for business use, rather than simply impressive in a demonstration. The problem is that an agent can...
by CPI Staff | Oct 12, 2026 | AI Agents, AI for Business & AI Strategy, Blog, Microsoft AI Foundry
In this blog post Why Hosted Agents Make Production AI Easier for Small Businesses we will explain how managed hosting can remove one of the biggest barriers to useful AI. Many businesses can build an impressive prototype, but then discover that keeping it secure,...
by CPI Staff | Oct 12, 2026 | AI Governance & Risk Management, Blog, Claude, Microsoft AI Foundry
In this blog post How to Run Claude Agent SDK Solutions Securely on Microsoft Foundry we will explain how to combine Anthropic’s agent technology with Microsoft’s cloud controls, without creating an expensive AI experiment that becomes difficult to secure or manage....
by CPI Staff | Oct 12, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft AI Foundry
In this blog post How to Deploy LangGraph Agents to Microsoft Foundry Safely at Scale we will explain how to move an agent from a promising prototype into a controlled business service without creating a new security, cost or support problem. This is where many AI...
