There is one IT project factor that is overlooked all too often is costing businesses more than they realise.
Implementing AI tools like Microsoft’s 365 Copilot might seem like a quick win for improving productivity, but without effective change management, these tools fall flat and backfire.
A recent evaluation of Microsoft’s 365 Copilot trial highlighted how poor communication and lack of adequate training led to unintended outcomes. Instead of a smooth transition, employees experienced confusion, frustration, and even resistance to the new AI-driven systems.
Read more about the trial here:
This isn’t just a technology problem; it’s a people problem—and it’s one that can be solved with the right change management approach.
Why Change Management is Essential for AI Success
- Communication Is Key
Rolling out an AI tool without clear communication leaves employees feeling lost and unsure. Successful adoption hinges on keeping everyone informed about how AI will impact their roles and day-to-day tasks. - Training and Support
It’s not enough to provide the tool; employees need the skills to use it effectively. Without proper training, businesses risk wasting their AI investment. Comprehensive, role-specific training ensures staff not only adopt AI solutions but thrive with them. - Managing Resistance
Change, especially technological change, often meets resistance. Proactive change management helps anticipate these challenges, aligning AI implementations with company culture and addressing concerns before they escalate.
The Bottom Line
AI is only as powerful as the people behind it. Implementing AI solutions without a thoughtful change management strategy is like handing someone a tool they don’t know how to use. Proper planning, communication, and support can turn potential AI disasters into long-term success stories.