Summarize:
It looks like there was no content provided for summarization. Please share the text you’d like summarized!
Case Study: McKinsey’s Generative AI Platform
#Case #Study #McKinseys #GenAI #Platform
Subscribe to AI in Action: https://aiinaction.substack.com/
AIX website: https://aiexpert.network/
McKinsey case study: https://aiexpert.network/ai-at-mckinsey/
AI transformation case studies: https://aiexpertnetwork.notion.site/AI-Transformation-Case-Studies-779878d924fa466186071b7939d7599a
The development of Lilli began as a small-scale experiment with a team of just four people. McKinsey adopted an iterative and user-centric approach, conducting ethnographic research to identify and address specific consultant needs. The focus remained on four key domains: enabling high-performing teams, developing clients with AI-augmented strategies, delivering distinctive client service, and maintaining high-quality communications post-engagement.
McKinsey ensured that every feature developed was tied directly to solving a user problem, keeping the user experience central to the process. Integration with McKinsey’s culture was also prioritized, as leaders encouraged Lilli’s adoption through role modeling and consistent usage in team meetings, asking, “Have you asked Lilli?” These efforts were complemented by structured training programs, user groups, and iterative feedback loops to refine the platform continuously.
Click here to learn more about this YouTuber