McKinsey unveils has introduced Lilli, a generative AI tool designed to provide a comprehensive and impartial search and synthesis of the firm’s extensive knowledge base. Lilli aggregates McKinsey’s knowledge and capabilities, enabling colleagues to quickly and efficiently access the firm’s best insights for clients. It is named after Lillian Dombrowski, the first professional woman hired by McKinsey in 1945, known for her nimbleness, flexibility, and thoroughness.
Key Features of Lilli:
- Streamlined Knowledge Access: Lilli provides a platform that aggregates McKinsey’s knowledge and capabilities, making it easier for colleagues to access valuable insights for clients. The platform includes two modes for searching McKinsey’s reserves of knowledge and external sources.
- AI-Powered Search and Synthesis: Lilli uses AI to scan McKinsey’s entire landscape of knowledge, identify relevant content, summarize key points, include links, and even identify experts in the appropriate fields.
- Time-Saving and Efficient: Lilli helps engagement teams save time on problem-solving, coaching, building capabilities, and helping clients achieve their goals. The platform can save up to 20% of time preparing for meetings and improves the quality of expertise and contributions.
- Inspiring New Perspectives: Lilli not only widens the scope of initial inquiries but also returns answers much more quickly. The platform inspires new ways of looking at problems and answering questions, providing invaluable insights.
For more information about the announcement and tool – Link
If you are following such Generative AI news and trends recently then you must having similar questions as below
- The Role of Generative AI in Knowledge Management: How can generative AI tools like Lilli transform knowledge management and access within organizations?
- The Impact on Client Engagement: How will AI-powered platforms like Lilli enhance client engagement and the quality of insights provided to clients?
- The Future of AI in Consulting: As AI continues to evolve, what other applications and use cases can we expect to see in the consulting industry?
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