by CPI Staff | Aug 15, 2026 | AI Agents, Azure AI Services, Azure Foundry, Blog
In this blog post How Azure Content Understanding Makes Document Data Agent-Ready we will explain how to turn scattered, inconsistent business documents into reliable information that AI agents can actually use. Most organisations do not have a shortage of data. They...
by CPI Staff | Aug 15, 2026 | AI Governance & Risk Management, Azure AI Services, Azure Security, Blog
In this blog post How to Build a Secure Azure Content Understanding Pilot in 30 Days we will show how to test document intelligence without creating a security headache. Many pilots begin with a promising demo, then stall when leaders discover that sensitive...
by CPI Staff | Aug 15, 2026 | AI for Business & AI Strategy, Blog, LLM, RAG
In this blog post Four Ways to Maintain Context Across AI Business Conversations we will explain how to stop AI assistants losing important details, repeating questions and giving answers that no longer match the task. If employees or customers constantly have to...
by CPI Staff | Aug 15, 2026 | AI Agents, AI for Business & AI Strategy, AI Governance & Risk Management, Blog
In this blog post Why Prompt-Only AI Agents Break Down in Complex Business Work, we will explain why an AI agent that performs brilliantly in a demonstration can become unreliable when placed inside a real business process. The problem is rarely that the prompt is...
by CPI Staff | Aug 15, 2026 | Azure, Azure CLI, Backup & Disaster Recovery, Blog
In this blog post Reduce Azure PostgreSQL Upgrade Risk with Pre-Upgrade Checks we will explain how pre-upgrade validation can uncover compatibility problems before a major-version change becomes a production outage. Database upgrades often look straightforward on a...
by CPI Staff | Aug 15, 2026 | AI Governance & Risk Management, Azure Monitor, Blog, Microsoft AI Foundry
In this blog post How to Monitor and Evaluate Microsoft Foundry Agents Safely we will explain how to determine whether an AI agent is genuinely ready for your employees, customers and business systems. The problem is that a successful demonstration proves very little....
