by CPI Staff | Jul 28, 2026 | AI Governance & Risk Management, AI Vendor Selection & Implementation, Blog, LLM
In this blog post Why Kimi K3’s Million-Token Context Needs Real-World Testing we will explain why giving an AI model more information can solve important business problems—and create expensive new ones. Many AI projects stall because the model receives only part of...
by CPI Staff | Jul 27, 2026 | AI Agents, AI Governance & Risk Management, Blog
In this blog post How to Create an Emergency Off Switch for Business AI Agents we will explain how to stop an AI agent quickly when it starts making incorrect decisions, exposing information, creating unexpected costs or taking actions it should not take. Imagine an...
by CPI Staff | Jul 27, 2026 | AI Agents, AI Governance & Risk Management, Blog, OpenAI
In this blog post What Multi-Turn State Means for Your OpenAI Agent in Practice we will explain how an agent keeps track of an ongoing task, why that continuity matters, and what your team must control before using it with business data. Without multi-turn state,...
by CPI Staff | Jul 27, 2026 | AI for Business & AI Strategy, AI Governance & Risk Management, AI Vendor Selection & Implementation, Blog
In this blog post How a Senior Forward Deployed Engineer Turns AI Ideas Into Results we will show how promising AI concepts become secure, useful systems. Many businesses already have ideas and demonstrations, but progress stalls when nobody can connect the technology...
by CPI Staff | Jul 26, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft AI Foundry
In this blog post How to Deploy LangGraph Agents to Microsoft Foundry Safely at Scale we will explain how to move an agent from a promising prototype into a controlled business service without creating a new security, cost or support problem. This is where many AI...
by CPI Staff | Jul 26, 2026 | AI Governance & Risk Management, Blog, Claude, Microsoft AI Foundry
In this blog post How to Run Claude Agent SDK Solutions Securely on Microsoft Foundry we will explain how to combine Anthropic’s agent technology with Microsoft’s cloud controls, without creating an expensive AI experiment that becomes difficult to secure or manage....
