Influential Women launches AI masterclass on adoption
Influential Women has released a new masterclass from Momentum Group CEO Jackie Cook on why AI adoption depends on people, workflows and leadership — not just tools and training. The session lays out a framework for turning AI access into real workplace change.
Why it matters: - AI rollout is not the same as AI use that changes how work gets done. - Jackie Cook argues leaders need to focus on trust, judgment and workflow design if they want AI to produce real value. - The masterclass is aimed at helping organizations move beyond experimentation and into practical adoption.
What happened: - Influential Women released a new masterclass, "AI Adoption Is a People Problem Before It’s a Technology Problem." - The session features Jackie Cook, Founder and CEO of Momentum Group, LLC. - Cook helps leaders and organizations navigate leadership, change, career and AI. - The masterclass is available through Influential Women.
The details: - Cook draws on more than 20 years of experience in organizational transformation, operations, product strategy, talent development and leadership enablement. - The masterclass separates AI deployment from AI adoption. - Deployment means an organization has made AI available through tools, licenses, policies and training. - Adoption happens when people actually change how they work, including the decisions, tasks, processes and workflows where AI becomes part of the job. - Cook's Adoption Path has four stages: Access, Ability, Application and Adoption. - Organizations often invest in access and ability, but application is the bridge between knowing how AI works and knowing where it belongs in a specific role. - Cook says employee hesitation may reflect unanswered questions about privacy, accuracy, accountability, job security and appropriate use. - Leaders are asked to create trust, permission, confidence and accountability so employees can use AI responsibly. - Cook's Four Ps framework is Permission, Practice, Protection and Purpose. - Permission gives clear boundaries for experimentation. - Practice gives employees room to use AI in real work. - Protection creates enough safety for people to learn from appropriate mistakes. - Purpose explains why changing how work gets done matters. - Cook also introduces a three-level model for AI agency: Recommend, Initiate and Execute. - The model helps leaders decide how much authority AI should have based on risk, reversibility, human judgment, trust and when escalation to a person is needed. - Cook says organizations should determine AI's role within each workflow rather than aiming for maximum automation. - Her approach starts by finding friction, lost context, repetitive work and slow decisions before deciding whether AI can improve the process.
Between the lines: - The masterclass reflects a broader shift in AI strategy from tool deployment to workflow redesign. - Cook's framework suggests many adoption problems are management problems, not user-training problems. - The emphasis on permission and protection signals that employees may need guardrails before they need more tools. - The focus on human judgment shows AI is being positioned as a support layer, not a replacement for decision-makers.
What's next: - Influential Women will continue offering the masterclass to its audience of professional women and workplace leaders. - Organizations using Cook's framework may be pushed to review where AI adds value and where human oversight should remain. - The likely next step for many teams is deciding which workflows should be assisted, initiated or fully executed by AI.
The bottom line: - Cook's message is simple: AI transformation starts with the work and the people doing it, not with the software itself.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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