by CPI Staff | Oct 12, 2026 | Azure, Blog, Cloud Cost & FinOps
In this blog post How Azure Tags and Budgets Make Cloud Costs Easier to Control we will explain how two relatively simple Azure features can give business leaders a much clearer view of cloud spending. Many organisations receive an Azure bill that shows what Microsoft...
by CPI Staff | Oct 12, 2026 | AI for Business & AI Strategy, AI Governance & Risk Management, Application Development, Blog
In this blog post Why Traditional SDLC Falls Short for Enterprise AI Applications we will explain why familiar software delivery controls can leave serious gaps when your organisation starts putting AI into production. The warning signs are often easy to recognise. An...
by CPI Staff | Oct 12, 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 | Oct 12, 2026 | AI Agents, AI for Business & AI Strategy, AI Governance & Risk Management, Blog
In this blog post Should Your Business Use Streaming for Better AI Agent Responses we will explain when real-time output improves the user experience, when it creates unnecessary risk, and how to make the right choice for your business. Most AI frustration starts with...
by CPI Staff | Oct 12, 2026 | AI Agents, Azure Security, Blog, Cloud Security
In this blog post Azure Firewall Premium Performance Gains for Secure AI and SaaS we will explain what Microsoft’s latest improvements mean for organisations trying to secure growing cloud traffic without slowing down employees, applications or AI agents. This is...
by CPI Staff | Oct 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...
