by CPI Staff | Aug 16, 2026 | AI Governance & Risk Management, Blog, Microsoft Agent Framework, Microsoft AI Foundry
In this blog post How to Add Human Approval to Microsoft Foundry Agent Workflows we will explain how to stop a useful AI automation from turning into an expensive or risky mistake without someone checking it first. At a high level, human approval creates a controlled...
by CPI Staff | Aug 16, 2026 | AI Agents, AI Governance & Risk Management, Blog
In this blog post When Should an AI Agent Remember a Customer and When to Forget we will explain how to give an AI agent enough memory to improve service without creating a privacy, security or customer trust problem. The challenge is familiar. Customers become...
by CPI Staff | Aug 16, 2026 | AI Agents, AI Governance & Risk Management, Blog
In this blog post Understanding the Agent Harness Behind Reliable AI Workflows we will explain the control layer that turns an AI model into a dependable business process. Without that layer, an impressive AI demonstration can quickly become an unreliable, expensive...
by CPI Staff | Aug 16, 2026 | AI Governance & Risk Management, Blog, Microsoft 365 Security, Microsoft Purview
In this blog post How to Control Shadow AI Before It Exposes Your Business Data we will explain how to find unapproved AI use, reduce data leakage and give employees safer ways to work. Your staff are probably already using AI, whether you approved it or not. They may...
by CPI Staff | Aug 16, 2026 | AI Governance & Risk Management, Blog, Microsoft 365, Microsoft Teams
In this blog post From Copilot Meeting Recaps to Accountable Action in Microsoft 365 we will show how to turn AI-generated summaries into decisions, assigned work and measurable outcomes. If your teams finish meetings with polished recaps but still ask, “Who is doing...
by CPI Staff | Aug 15, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft Agent Framework
In this blog post Design Durable Secure Workflows with Microsoft Agent Framework we will explain how to stop a promising AI pilot becoming an unreliable, expensive or risky business process. The challenge is rarely getting an agent to complete a task once; it is...