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...
by CPI Staff | Aug 15, 2026 | AI Governance & Risk Management, Azure AI Services, Azure Security, Blog
In this blog post How to Build a Secure Azure Content Understanding Pilot in 30 Days we will show how to test document intelligence without creating a security headache. Many pilots begin with a promising demo, then stall when leaders discover that sensitive...
by CPI Staff | Aug 15, 2026 | AI Agents, AI for Business & AI Strategy, AI Governance & Risk Management, Blog
In this blog post Why Prompt-Only AI Agents Break Down in Complex Business Work, we will explain why an AI agent that performs brilliantly in a demonstration can become unreliable when placed inside a real business process. The problem is rarely that the prompt is...
