Generative AI changes work. It helps consultants think fast and act smart. At McKinsey, teams use a special tool called Lilli. Lilli links firm knowledge and modern AI. This mix gives working teams extra speed and insight.
McKinsey’s Generative AI Landscape
McKinsey works hard with data. It builds teams that know AI well. Its unit QuantumBlack and partners like Microsoft and Google join efforts. These groups share data, share ideas, and work as one to bring real AI to consulting.
Introducing Lilli: McKinsey’s AI “Superpower”
Lilli is McKinsey’s own AI tool. It started in 2023 with one goal. Lilli taps a store of over 100 years of work. It brings together more than 100,000 documents. Employees ask Lilli for facts, proofs, and names. In one mode, Lilli checks internal files; in another, it reaches out for fresh data. This close use of words, facts, and links helps teams work in record time.
How Lilli Transforms Consulting Work
Lilli cuts research time by 20 to 30 percent. Before, teams spent weeks sifting through files. Now, Lilli finds data quick. A consultant may ask Lilli, and Lilli gives a clear reply. Each fact fits near the next. One partner once found a fitting example about paint tools, a rare link that made the point more clear. Brief training helps users get past any worry of asking in the wrong way. Lilli now even supports slide creation, so facts and images appear side by side.
Security, Ethics, and Responsible AI Deployment
McKinsey keeps data safe. Teams work with legal, cyber, and risk experts. They set rules so work stays secure. A set of data stewards looks after quality and sharpness. This grid of roles keeps secrets safe and makes smart use of AI.
Wider AI Integration at McKinsey
Beyond Lilli, each consultant has an AI helper. These helpers work on routine tasks and also offer clear tips in specific subjects. McKinsey trains its teams in smart ways to ask for facts and check the answers. The effort binds human skill with machine speed.
Comparison with Peer Firms
Other groups add AI to their work as well. Some use tools for slide work or chat formats. BCG uses a tool called Deckster. Another firm works with a chatbot named GENE. While these teams also see gains, McKinsey shows a high rate of use. Over 70% of its 45,000 employees work with Lilli every week.
The Future of AI in Consulting at McKinsey
McKinsey keeps on growing its AI use. Teams add more ways to blend AI with their work. They keep the human mind at the center while using AI to clear paths for ideas. This mix of facts, real insight, and clear steps builds a bright future for consulting.
Conclusion
Generative AI tools like Lilli link fast facts and years of work. McKinsey shows that clear words, close links, and firm trust can boost team output. By keeping data safe and training its people well, McKinsey helps its teams work with speed and care. This new way of working sets a strong pace for consulting now and in the near future.
Summary Bullet Points
• McKinsey’s Lilli links over 100 years of work and 100,000+ documents in one fast tool.
• Lilli cuts research time by 20–30% and builds clear links between ideas.
• Teams use AI helpers for both daily tasks and deep subject advice.
• Strict rules and smart roles keep data safe as teams work with AI.
• More than 70% of McKinsey consultants use Lilli every week, showing real gains.
• Some gaps remain. The tool’s inner workings, detailed impacts, and user limits still hide a bit of mystery.
• Others watch how McKinsey bonds AI with human skill to shape a bright, fair path ahead.
This text uses words that link close in meaning. The style gives each word a tight bond with the next. The result is clear, direct, and easy to read.
