by CPI Staff | Aug 14, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft Agent Framework
In this blog post Microsoft Agent Framework and Durable AI Agents for IT Leaders we will explain why an AI pilot can look impressive in a demonstration but fall apart when it meets a real business process. The problem is rarely the AI model itself. The problem is that...
by CPI Staff | Aug 14, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft Agent Framework
In this blog post MCP A2A and Semantic Memory Capabilities Every CIO Should Track we will explain how three important Microsoft Agent Framework capabilities could change the cost, usefulness and risk of business AI. Many organisations already have promising AI pilots....
by CPI Staff | Aug 14, 2026 | AI Agents, Azure Foundry, Blog, Microsoft Agent Framework
In this blog post What Azure AI Agent Server GA Means for Enterprise AI Agents we will explain why the general availability milestone matters, how the technology works, and what technology leaders should check before putting an AI agent into a live business process....
by CPI Staff | Aug 13, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft Agent Framework
In this blog post Build a Service Desk Triage Agent with Microsoft Agent Framework we will show how to reduce ticket backlogs, improve response times and stop skilled IT staff wasting hours manually sorting support requests. The problem is rarely a lack of effort....
by CPI Staff | Aug 12, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft Agent Framework
In this blog post How Agent Harness Keeps Azure AI Workflows Under Human Control we will explain how to automate complex work while keeping people involved in the decisions that carry financial, security or compliance risk. This matters because AI becomes risky when...
by CPI Staff | Aug 3, 2026 | AI Agents, Azure, Blog, Microsoft Agent Framework
In this blog post How Resilient Tasks Make Long-Running Business AI More Reliable we will explain why an AI process that works perfectly in a demonstration can still fail when it meets real business conditions. A supplier does not respond. A manager takes two days to...
