AI Implementation and Change Management

Analyzing the changes to workflows, roles, and responsibilities resulting from AI implementation. Identifying affected stakeholders. 

Workshops, focus groups and interviews to understand stakeholder perspectives and get their buy-in for AI-driven transformation. 

Developing training programs to upskill employees on using/working alongside AI technologies and new processes. We also handle skills gap analysis. 

Crafting change messaging, FAQs, and tutorials on AI tools and new ways of working for the organization. Ongoing change communications. 

Organizing UAT with stakeholders to garner feedback, surface adoption barriers, and continuously improve AI solutions pre-deployment. 

Identifying sources of people-related resistance and developing mitigation strategies - incentive alignment, participation, change agents etc. 

Providing extra guidance and problem resolution mechanisms during the transition period to prevent reversals. 

Surveying users, conducting focus groups, and monitoring metrics to track adoption levels and change success. Feedback loops. 

Using insights from success tracking to address ongoing adoption barriers through modified communication, training, and change initiatives.