Head-to-head comparison
1898 & co. vs mckinsey & company.
mckinsey & company. leads by 23 points on AI adoption score.
1898 & co.
Stage: Early
Key opportunity: Leverage AI to automate security assessment report generation and threat intelligence synthesis, enabling consultants to focus on higher-value advisory work and reducing project turnaround times by 40-60%.
Top use cases
- Automated Security Assessment Reports — Use LLMs to draft client-specific cybersecurity assessment reports from structured findings, reducing consultant writing…
- Threat Intelligence Synthesis — Deploy NLP pipelines to aggregate and summarize OT/ICS threat feeds, producing daily briefs tailored to each client's in…
- RFP Response Automation — Implement GenAI to generate first-draft proposals by matching past project data and consultant profiles to new RFP requi…
mckinsey & company.
Stage: Advanced
Key opportunity: AI can transform McKinsey's core consulting services by automating research, generating data-driven insights, and creating personalized client deliverables at unprecedented speed and scale.
Top use cases
- AI-Powered Research Assistant — Internal LLM tool that rapidly synthesizes market reports, academic papers, and client data to produce initial drafts of…
- Predictive Engagement Modeling — ML models analyze past project data and market signals to predict client needs, identify cross-selling opportunities, an…
- Automated Proposal & Deliverable Generation — GenAI system uses past successful proposals and firm IP to generate first drafts of client presentations, reports, and f…
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