by CPI Staff | Aug 27, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft AI Foundry
In this blog post Azure AI Agents Reach GA What CIOs Must Assess Before Scaling we will explain what Microsoft’s general availability milestone means, how the platform works, and what technology leaders should review before expanding from one promising agent to an...
by CPI Staff | Aug 26, 2026 | AI Agents, Blog, Microsoft Agent Framework, OpenAI
In this blog post How Compaction Keeps Long-Running AI Agent Workflows on Track we will explain how compaction helps business AI continue complex work without becoming slower, more expensive or increasingly confused as its history grows. This matters because an AI...
by CPI Staff | Aug 26, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft AI Foundry
In this blog post From AI Proof of Concept to Production Using Foundry and A2A we will explain how to turn a promising AI agent demonstration into a secure, measurable and supportable business service. Many organisations can build an agent that answers questions or...
by CPI Staff | Aug 24, 2026 | AI Agents, AI for Business & AI Strategy, AI Governance & Risk Management, Blog
In this blog post Enterprise AI Agent Governance From Chatbot to Managed Workforce we will explain how to manage AI agents as a controlled digital workforce, with clear roles, limited access, human oversight and measurable business outcomes. Many organisations are...
by CPI Staff | Aug 23, 2026 | AI Agents, AI for Business & AI Strategy, Blog, Microsoft 365
In this blog post What Microsoft Work IQ Means for Business AI and Productivity we will explain how Microsoft’s workplace intelligence layer helps AI understand your organisation, why that matters, and what leaders should check before adopting it. Most businesses do...
by CPI Staff | Aug 22, 2026 | AI Agents, AI Governance & Risk Management, Blog
In this blog post Understanding Sandbox Manifests for Safer AI Agent Workflows we will explain why an AI agent can behave perfectly in testing, then fail or create security concerns when used across the business. The problem is often not the AI model. It is the...
