How leading firms are navigating AI's twin impact: generating 20-40% revenue from AI projects while transforming internal operations
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Insights from Big 4, MBB & boutique firms
Analysis of $10-15Bn in AI investments
Based on work with elite consultancies
A Partner/Director wanting to understand AI's strategic implications for your firm
A transformation leader building your consultancy's AI roadmap and implementation plan
A consultant seeking to maximize personal productivity with AI tools
A boutique consultancy assessing 'build vs buy' decisions for AI tools
A firm leader wondering if AI will replace consultants or augment them
Anyone who needs to understand where consulting is heading in the AI age
(Organizational Level)
(Individual Level)
(Implementation Guide)
How McKinsey's Lilli achieved 75% monthly adoption with 17 uses per week per active user
How Big 4 firms are spending $1-3Bn each on AI capabilities and infrastructure
The 5 technological innovations (agents, reasoning models, small language models) reshaping consulting by 2026
How to approach Build vs. Buy: McKinsey's proprietary approach vs Bain's ChatGPT Enterprise deployment
The 10 consulting workflows AI can augment today, covering 80-90% of daily tasks
Harvard study results: 25% faster completion + 40% higher quality on tasks 'within the AI frontier'
Critical warning: Performance drops to 60-70% correctness when using AI for wrong tasks
How to think about the consultant's AI augmentation vs. replacement debate
10 major consulting tasks with AI augmentation potential

Page 10 - Table of consulting workflows
Evaluate your firm: Laggard, Follower, or Leader across 7 dimensions

Page 16 - Self-assessment matrix
Hard data on when AI helps (25% faster) and when it hurts (performance drops)

Page 11 - Harvard research findings
⚡September 2025 Update: With reasoning models now live (Claude 4 Thinking, GPT-5 Thinking) and AI agents launching from major labs, the consulting industry is at an inflection point. This report helps you understand what's happening and what to do about it.
No. Written for business leaders, not engineers. Focuses on strategy, implementation, and organizational change rather than technical details.
Absolutely. The framework scales from solo practitioners to Big 4. Small firms can actually move faster on AI adoption than large firms. The 'quick wins' section is specifically designed for resource-constrained teams.
Published September 2025. Includes analysis of the latest model releases (Claude 4, GPT-5, reasoning models) and recent announcements from consulting firms. We track this space closely through ongoing training programs.
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Use the matrix on page 16 to evaluate where you stand across 7 dimensions
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