by CPI Staff | Oct 26, 2026 | AI Agents, Azure Foundry, Azure OpenAI, Blog
In this blog post How the Azure OpenAI Decisions API Cuts Agent Cost and Delay we will explain how mid-market teams can make routine AI agent decisions faster, reduce unnecessary model spending and keep higher-risk choices under human control. Many business agents are...
by CPI Staff | Oct 23, 2026 | AI Governance & Risk Management, Azure Foundry, Blog, RAG
In this blog post Building RAG That Stays Current Across Azure AI Foundry Teams we will explain why a useful AI assistant can quietly become unreliable as business information changes, and how to prevent stale answers from creating cost, compliance and operational...
by CPI Staff | Oct 21, 2026 | AI Agents, Azure Foundry, Azure Monitor, Blog
In this blog post Why Azure AI Foundry Voice Agents Need Observability Before Launch we will explain how to see what your voice agent is doing, where conversations are failing, and whether it is genuinely ready for customers. A voice agent can look excellent in a...
by CPI Staff | Oct 12, 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 | Oct 12, 2026 | AI Agents, AI Governance & Risk Management, Azure Foundry, Blog
In this blog post Azure AI Agent Architecture That Keeps CIOs Safely in Control we will explain how to give AI agents useful business access without handing them uncontrolled access to your data, systems or budget. At a high level, an AI agent is software that can...
by CPI Staff | Oct 12, 2026 | AI Governance & Risk Management, Azure Foundry, Blog
In this blog post Global Regional and Data Zone Deployments in Microsoft Foundry we will explain why a small deployment setting can create major consequences for compliance, availability and cost. Many organisations choose an AI model, deploy it in Azure and assume...
