AI and Change Management
I am currently working with Accenture and other global talent leaders to develop a new delivery center model leveraging a balance between human creators and AI tools.
This work is based on work I have pursued with our Learning Services team to dramatically refactor our learning module creation process to take advantage of new capabilities offered by LLMs and an ‘agentic’ approach.
Just as important as the process innovation is the change management within the organization. Leadership needs to be deliberate, informed, and supportive of internal experts while working together to identify new process and efficiencies. There may be opportunity for entirely new sources of revenue or other opportunities to build a moat. Only through intentional communication will capable leaders reap these benefits.
Organizational structure serves a role as well. Breaking out a dedicated squad to focus on innovation while the rest of the team continues to do their jobs is a key tactic to ensure innovation occurs without impacting key deliverables.
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Whether Generative AI is ‘an exciting advancement in autocomplete’ or ‘the most profound shift in communications technology since the Renaissance’, business (and people) need to navigate the change.
For most white-collar workers over the past 50 years, change has been a constant. This time is no different. File sharing was catastrophic for many aspects of the music industry but that disruption planted the seeds for a new generation of artists and platforms to serve audiences in a new way.
As we survey the landscape currently being disrupted by ChatGPT, Midjourney, and thousands of other new tools, we can remain confident there IS a model for to manage this type of change and position our businesses to be in a leading role when the new paradigm is established.
For any who have not yet adopted to a ‘permanent adaptation to change’ mindset, now is a good time to begin.