by CPI Staff | Aug 24, 2026 | AI for Business & AI Strategy, AI Governance & Risk Management, Blog
In this blog post How CPI Helps Businesses Choose a Safe AI State Strategy That Works we will explain how to give business AI enough memory to be useful without creating an uncontrolled store of sensitive information. Many organisations discover the problem after an...
by CPI Staff | Aug 24, 2026 | AI Agents, AI for Business & AI Strategy, AI Governance & Risk Management, Blog
In this blog post Enterprise AI Agent Governance From Chatbot to Managed Workforce we will explain how to manage AI agents as a controlled digital workforce, with clear roles, limited access, human oversight and measurable business outcomes. Many organisations are...
by CPI Staff | Aug 23, 2026 | AI for Business & AI Strategy, AI Governance & Risk Management, AI Vendor Selection & Implementation, Blog
In this blog post What to Look for When Hiring a Senior Forward Deployed Engineer we will explain how to identify someone who can turn an AI idea into a secure, useful system that delivers measurable business value. The risk is not simply hiring someone who lacks...
by CPI Staff | Aug 22, 2026 | AI for Business & AI Strategy, AI Governance & Risk Management, Blog
In this blog post Who Should Own AI Governance and Accountability in Your Business we will explain who should make AI decisions, who should manage the risks, and how to avoid leaving accountability in the gap between IT, legal and business teams. That gap is already...
by CPI Staff | Aug 22, 2026 | AI Agents, AI Governance & Risk Management, Blog
In this blog post Understanding Sandbox Manifests for Safer AI Agent Workflows we will explain why an AI agent can behave perfectly in testing, then fail or create security concerns when used across the business. The problem is often not the AI model. It is the...
by CPI Staff | Aug 21, 2026 | AI Agents, AI Governance & Risk Management, Blog, Cloud Security
In this blog post From Agent Harness Prototype to Secure Production Operations we will explain how to move an AI agent from a promising trial into a controlled, measurable and secure business service. The risky point is rarely the first demonstration. Problems appear...
