by CPI Staff | Aug 13, 2026 | AI Agents, AI Governance & Risk Management, Blog, Cybersecurity
In this blog post How Workspace Isolation Makes Business AI Agents Safer at Scale we will explain how separate, controlled workspaces reduce the chance of an AI agent exposing data, changing the wrong files or taking an action outside its intended role. At a high...
by CPI Staff | Aug 12, 2026 | AI Agents, AI for Business & AI Strategy, AI Governance & Risk Management, Blog
In this blog post How to Design AI Conversations Around Real Business Processes we will explain how to turn an AI chat experience into a controlled workflow that reduces delays, rework and operating costs. Many AI projects look impressive in a demonstration but...
by CPI Staff | Aug 12, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft AI Foundry
In this blog post How to Evaluate Groundedness Tool Accuracy and Task Completion we will explain how to determine whether a Microsoft Foundry agent is genuinely ready for business use, rather than simply impressive in a demonstration. The problem is that an agent can...
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 12, 2026 | AI Agents, AI Governance & Risk Management, Blog, Cloud Security
In this blog post When to Reuse a Live AI Sandbox and When Your Team Should Start Fresh we will explain how to balance speed, cost and security when AI agents need a working environment. The decision sounds simple. Keep the existing sandbox if the work is continuing,...
by CPI Staff | Aug 12, 2026 | AI Agents, AI for Business & AI Strategy, AI Governance & Risk Management, Blog
In this blog post Designing Safe AI Agent Loops for Customer Service Operations we will explain how AI agents complete multi-step work, where unsafe loops create business risk, and which controls keep automation within sensible boundaries. The basic idea is...
