How Microsoft Copilot Replaced 40 Hours of Work in Just 5 Minutes

How Microsoft Copilot Replaced 40 Hours of Work in Just 5 Minutes 

A client of mine had a real challenge. They were managing 95 corporate policies written over different years by various departments. Some policies even contradicted each other. It was a compliance risk, but no one had time to read through thousands of pages. 

They asked, can #Microsoft Copilot help? It turns out it could. We took these steps.

1. Open Microsoft Copilot Pro's Research Agent 
2. Connected it to their SharePoint folder where all the policies were stored.
3. I gave it a single prompt: 
• Search all policies and identify where any two contradict each other. Return a table with this content: 
• Column A: Policy A include the sharepoint file link + summary description 
• Column B: Policy B include the sharepoint file link + summary description 
• Column C: The issue or contradiction found 
• Column D: Provide a recommended action based on industry and policy best practices.”

In about five minutes, Copilot returned a full table. It highlighted conflicts, provided file links, and suggested next steps based on best practices. It was not perfect, but it was a powerful starting point compared to spending 40 hours on manual review.  Now the team scheduled this prompt to run monthly. Copilot scans new or updated policies and highlights issues automatically. Once they trusted the output, they shared the Agent with others across the company to keep policy management clear and fast. 

 Lesson: You do not need a huge budget to save serious time. Teach your team how to think with AI and real value will show up in everyday work. So what has your team done with AI this week?

AI’s 95% Failure Rate Looks Just Like Cloud’s Early Struggles

**AI’s 95% Failure Rate Looks Just Like Cloud’s Early Struggles** MIT says 95% of AI pilots flop. Sounds scary, right? But this is not the end of the world. In fact, it looks a lot like the early days of cloud computing. Fifteen years ago, most cloud projects went nowhere. Security fears, messy migrations, and grumpy IT teams kept things stuck in pilot mode. Today, AI pilots are tripping on the same issues. Poor workflow fit, bad data, and unrealistic hopes keep projects from scaling. Here is the good news. Cloud eventually became the backbone of business. AI will get there too and probably faster since it is standing on cloud’s shoulders. So yes, most pilots fail. Think of them as practice rounds. The companies that stick with it and learn from the flops will be the ones cashing in when AI finally clicks.