by CPI Staff | Oct 12, 2026 | AI Governance & Risk Management, Blog, Cybersecurity Strategy & Governance, Microsoft 365 Security
In this blog post The Microsoft Security and AI Checklist Every SMB Should Review we will explain what technology leaders should check before security gaps, uncontrolled AI use, and overlapping licences start costing the business. Most SMBs already own useful...
by CPI Staff | Oct 12, 2026 | AI for Business & AI Strategy, AI Vendor Selection & Implementation, Application Development, Blog
In this blog post What a Senior Forward Deployed Engineer Does for Your Business we will explain why this role is becoming important, what the engineer actually does, and how to decide whether your organisation needs one. Many businesses have an AI prototype that...
by CPI Staff | Oct 12, 2026 | AI Agents, Backup & Disaster Recovery, Blog, Microsoft AI Foundry
In this blog post High Availability and Disaster Recovery for Microsoft Foundry Agents we will explain how to keep business-critical agents working when cloud services, data stores or integrations fail. Without this planning, an agent that saves hundreds of staff...
by CPI Staff | Oct 12, 2026 | Blog, Microsoft 365, Microsoft 365 Security, Microsoft Intune
In this blog post When Your Business Needs a Microsoft 365 and Intune Health Check we will explain the warning signs that your environment needs attention, what a useful review should cover, and when waiting creates unnecessary business risk. For many organisations,...
by CPI Staff | Oct 12, 2026 | AI Governance & Risk Management, Azure Foundry, Blog
In this blog post Global Regional and Data Zone Deployments in Microsoft Foundry we will explain why a small deployment setting can create major consequences for compliance, availability and cost. Many organisations choose an AI model, deploy it in Azure and assume...
by CPI Staff | Oct 12, 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...
