With the rapid uptake of AI technology over the past few years, it was natural to assume that AI was the next wave in technological transformation. Many change managers may think they need to develop a “rinse-and-repeat” playbook for AI change, as they had with the wave of cloud implementations that came before it. What they soon found was that introducing AI is very different, and it requires a markedly different approach.
But amid a breakneck pace of evolution, many organizations simply don’t know how to move forward. While change managers surveyed recently by Prosci say incorporating AI tools into their practices has increased efficiency (30% of respondents), enhanced communication (19%), and helped support content creation (19%), many say their use of AI in change management is being held back by uncertainty over how to implement and use AI for this purpose. In addition, some organizations and industries are more hesitant than others to use AI for any use case, particularly in those industries where data privacy is a particular concern.
Overcoming that reluctance to embrace AI to manage change will require an intentional approach. Here’s what you need to know to help your organization make the most of AI to manage change.
