McKinsey & Company, a renowned consulting firm, has recently introduced Lilli, an AI-powered search tool designed to provide easy access to the firm’s extensive knowledge base for its clients and consultants. Lilli scans McKinsey’s databases and retrieves five to seven relevant pieces of content, along with summaries, links, and expert identification. With over 40 curated knowledge sources, 100,000 documents and interview transcripts, and a network of experts spanning 70 countries, McKinsey’s knowledge base is a valuable resource. Lilli aims to streamline the process of accessing and utilizing this wealth of information, allowing consultants to spend more time activating insights and recommendations for their clients.
Lilli was developed with the input of both clients and consultants, who participated in the pilot program. The tool can be used for various business applications and to enhance productivity. McKinsey partners have shared their experiences of incorporating Lilli into their workflow, such as using it to identify weaknesses in arguments, anticipate questions, and explore new topics. The tool’s effectiveness is ensured by a team of over 70 experts working on its deployment, with plans to scale it across the organization by the end of the year.
While McKinsey has chosen to adopt an AI-powered search tool like Lilli, many enterprises opt to develop their own generative AI models. This approach allows companies to tailor language models to their specific business needs and safeguard sensitive company data. Artificial intelligence continues to play a significant role in transforming and optimizing various industries, including consultancy firms like McKinsey & Company.
In conclusion, McKinsey’s introduction of Lilli, an AI-powered search tool, demonstrates the firm’s commitment to providing its clients and consultants with easy access to its vast knowledge base. By leveraging AI technology, McKinsey aims to enhance productivity and maximize the value it can create for its clients. As the use of AI continues to grow, enterprises are exploring various strategies, including building their own AI models, to cater to their unique business requirements.