by CPI Staff | Jul 22, 2026 | AI Agents, Blog, GitHub Copilot, Microsoft AI Foundry
In this blog post How GitHub Copilot Speeds Up Secure Microsoft Foundry Agent Delivery we will explain how technology teams can move from an AI agent idea to a controlled production deployment without creating another expensive, open-ended experiment. Many...
by CPI Staff | Jul 22, 2026 | AI Governance & Risk Management, Azure, Blog, Microsoft AI Foundry
In this blog post How Microsoft Foundry Keeps AI Data in the Asia Pacific Region we will explain how to control where your AI workloads process and store business information, what the main deployment options mean, and where data can still leave your intended...
by CPI Staff | Jul 22, 2026 | Azure Managed-Identity, Azure Security, Blog, Microsoft AI Foundry
In this blog post Secure Microsoft Foundry Projects with RBAC and Managed Identity we will explain how to stop AI projects accumulating excessive access, shared credentials and unclear ownership as they move from testing into production. The high-level idea is simple....
by CPI Staff | Jul 21, 2026 | AI Vendor Selection & Implementation, Blog, Microsoft AI Foundry, OpenAI
In this blog post When to Use GPT-5.6 Sol Terra or Luna in Microsoft Foundry Projects we will explain how to match each model to the right business workload without paying for more AI capability than you need. The common mistake is simple. A business deploys the most...
by CPI Staff | Jul 20, 2026 | .NET, AI Agents, Blog, Microsoft AI Foundry
In this blog post Building Foundry Agent Web Interfaces with AG-UI and ASP.NET Core we will explain how to turn a capable AI agent into a practical application employees can actually use. Many organisations build a promising agent, only to discover that a basic chat...
by CPI Staff | Mar 22, 2026 | AI, AI Agents, Blog, Microsoft AI Foundry
Most Australian organisations that started building AI capabilities in the last two years are hitting the same wall. The proof of concept worked. The board approved the next phase. And now IT teams are drowning in questions nobody planned for. Where do the models run?...
