by CPI Staff | Jul 20, 2026 | AI for Business & AI Strategy, AI Governance & Risk Management, AI Vendor Selection & Implementation, Blog
In this blog post What Kimi K3 Matching Claude Opus 4.8 Means for Business AI we will explain why the latest model results matter to business leaders, where the potential savings are, and what to check before changing your AI strategy. Many organisations have started...
by CPI Staff | Jul 20, 2026 | AI Governance & Risk Management, Blog, Claude, Entra ID
In this blog post How to Govern Claude Enterprise with SSO and the Compliance API we will explain how to control access to Claude, monitor its use and create reliable evidence for security and compliance reviews. The risk is not usually that employees are deliberately...
by CPI Staff | Jul 16, 2026 | AI Agents, AI Governance & Risk Management, Blog, MCP Server
In this blog post Using A2A and MCP Together for Safer Business AI Systems we will look at why many business AI projects get stuck after the first promising pilot, and how two emerging standards can help you build AI systems that are safer, more useful, and easier to...
by CPI Staff | Jul 16, 2026 | AI Coding Agents, AI Governance & Risk Management, Blog, Claude Code
In this blog post Monitoring Claude Code and Agent Activity With OpenTelemetry we will look at how business and technology leaders can keep visibility over AI coding activity before costs, security risks, or poor governance quietly get out of hand. If your developers...
by CPI Staff | Jul 16, 2026 | AI Agents, AI for Business & AI Strategy, AI Governance & Risk Management, Blog
In this blog post Task-Based vs Conversation-Based AI Agents: Which Is Right for Your Business? we will explain the difference in plain English, show where each type fits, and help you avoid spending money on the wrong kind of AI agent. Many businesses are now asking...
by CPI Staff | Jun 17, 2026 | AI Governance & Risk Management, AI Vendor Selection & Implementation, Blog, C#
AI agents are quickly moving from proof-of-concept projects into production workflows. They call tools, retrieve documents, invoke models, write code, trigger automations, and make decisions across multiple systems. That creates a new operational problem for platform...
