Head-to-head comparison
michael burrows vs mckinsey & company
mckinsey & company leads by 20 points on AI adoption score.
michael burrows
Stage: Early
Key opportunity: AI can automate proposal generation and client research, freeing senior consultants to focus on high-value strategic analysis and deepening client relationships.
Top use cases
- Automated Market Research — AI agents scrape and synthesize public data on industries, competitors, and trends, generating initial draft reports for…
- Intelligent Proposal Engine — Generative AI drafts tailored RFP responses and project proposals by pulling from past successful submissions and a data…
- Meeting Intelligence & Summarization — AI-powered tools transcribe client meetings, extract key decisions, action items, and sentiment, and auto-populate CRM a…
mckinsey & company
Stage: Advanced
Key opportunity: Deploy a firm-wide generative AI platform to synthesize decades of proprietary engagement data, accelerating insight generation and automating deliverable creation for consultants.
Top use cases
- AI-Powered Insight Engine — Leverage LLMs on McKinsey's proprietary knowledge base to provide consultants with instant, synthesized answers, benchma…
- Automated Deliverable Generation — Generate first drafts of slide decks, reports, and financial models from structured data and prompts, allowing teams to …
- Client Engagement Diagnostics — Use NLP to analyze client interview transcripts and survey data in real-time, surfacing hidden themes, sentiment risks, …
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