by CPI Staff | Aug 20, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft Agent Framework
In this blog post How to Pause and Resume AI Agent Work Without Starting Again we will explain how businesses can interrupt long-running AI tasks, preserve completed work and continue safely when they are ready. Imagine an AI agent reviewing 4,000 supplier records. It...
by CPI Staff | Aug 20, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft AI Foundry
In this blog post From Copilot Chat to Governed AI Agents with Microsoft Foundry we will explain how Australian mid-market CIOs can move beyond basic AI chat without creating an uncontrolled collection of bots, data connections and security risks. Many organisations...
by CPI Staff | Aug 20, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft Fabric
In this blog post How Fabric IQ Grounds AI Agents in Trusted Business Data Safely we will explain how organisations can stop AI agents guessing what their data means and start giving them governed, business-ready context. This matters because most companies do not...
by CPI Staff | Aug 19, 2026 | AI Agents, Azure Foundry, Azure Security, Blog
In this blog post How to Publish Private AI Agents Without Public Internet Exposure we will explain how to make an internal AI agent available to employees and business systems without placing the agent itself on a public internet endpoint. This is a common sticking...
by CPI Staff | Aug 19, 2026 | AI Agents, AI for Business & AI Strategy, AI Governance & Risk Management, Blog
In this blog post Choosing Between Simple AI Assistants and Multi-Agent Solutions we will explain how to match the complexity of your AI setup to the business problem you actually need to solve. Many technology leaders are being shown impressive demonstrations...
by CPI Staff | Aug 18, 2026 | AI Agents, AI Governance & Risk Management, Azure, Blog
In this blog post How to Design Durable Azure AI Agents That Stay Under Control we will explain why promising AI automations often become unreliable when they move beyond a demonstration. The agent works well until an approval takes two days, an API fails halfway...
