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 28, 2026 | AI for Business & AI Strategy, Anthropic, Blog, Claude
In this blog post Why Claude Opus 5 Raises the Bar for Cost-Efficient Enterprise AI we will explain why the latest Claude model could change the business case for advanced AI. Many organisations have promising AI trials, but costs rise quickly when those trials are...
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 | .NET, AI Agents, Blog, OpenAI
In this blog post Why Streaming Responses Make OpenAI Agents Feel Faster in Business we will explain why capable AI agents can still frustrate users, and how showing results as they are generated creates a faster, more trustworthy experience. You have probably seen...
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 Agents, AI Vendor Selection & Implementation, Blog, OpenAI
In this blog post How OpenAI Presence Moves Customer Service Agents Into Production we will explain why so many promising customer service AI pilots stall after the demo, how Presence addresses the production gap, and what technology leaders should check before...
