McKinsey’s GenAI Platform

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Approach
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.

Implementation
Lilli’s development relied on a sophisticated technology stack that combined large and small models to deliver precise and reliable outputs. Unlike tools based solely on retrieval-augmented generation (RAG), Lilli acts as an orchestration layer, coordinating diverse knowledge sources while maintaining security and efficiency. The rollout followed a controlled approach, starting with a group of 2,500 McKinsey colleagues to gather feedback and refine the platform.

Gradual scaling allowed for iterative testing and the creation of Lilli evangelists, who promoted adoption across the firm. Training sessions, user communities in ten offices, and built-in guides further facilitated adoption. Key use cases emerged, such as knowledge synthesis, AI-augmented consulting, and the McKinsey Tone of Voice Agent, which ensures high-quality, professional writing tailored to McKinsey standards. These capabilities enable consultants to spend less time on repetitive tasks and more time delivering actionable insights to clients.

Results
Lilli’s widespread adoption has made it one of the most-used tools at McKinsey, reflecting its significant value to consultants. The platform has improved productivity by reducing the time spent on knowledge extraction and synthesis, allowing consultants to focus on activating insights for clients. Tools like the McKinsey Tone of Voice Agent enhance the quality of communications, particularly for non-native English speakers, ensuring clarity and professionalism.

Beyond productivity, Lilli has contributed to a cultural shift within McKinsey, where consultants are increasingly tech-enabled and better positioned to deliver impact. This transformation has also enabled more diverse and empathetic consulting practices by upskilling professionals and broadening the talent pool. Overall, Lilli has elevated the quality and efficiency of McKinsey’s services, solidifying its role as a key enabler of AI-powered consulting.

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#mckinsey #ai #ai_transformation #consulting

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