Strategy Consulting Is Productizing.

· Source: AI Strategies for CEOs · Field: Business & Management — Corporate Strategy & Leadership, Consulting & Professional Services · Depth: Intermediate, medium

Summary

Strategy consulting is evolving towards "productized Skills," a new model for strategic deliverables that addresses the high failure rate of enterprise generative-AI pilots, with 95% yielding no measurable P&L impact according to MIT's The GenAI Divide (NANDA initiative) in 2025. This model offers fixed scope, price, and timeline for strategic artifacts like diagnostics or business cases, executed and delivered by a partner, unlike traditional bespoke engagements or internal efforts. Productization is enabled by matured strategic methods and AI's ability to accelerate tasks like sizing and benchmarking. Buyers benefit from price and scope certainty, speed, preserved judgment through partner review, and low-commitment entry points, such as a 60-minute AI readiness audit. This approach is suitable for problems with a known shape, while genuinely novel or ambiguous questions still require traditional bespoke consulting.

Key takeaway

For Directors of AI/ML or VPs of Engineering evaluating new AI initiatives, you should consider productized strategic "Skills" to mitigate the high failure rate of pilots. This approach offers predictable costs and defined deliverables, accelerating strategic decisions for problems with known structures. Start with a low-commitment option like an AI readiness audit to validate the method and clarify your organization's specific priorities before investing in larger engagements. This helps ensure your AI investments yield measurable P&L impact.

Key insights

Productized strategic "Skills" bridge the gap between bespoke consulting and internal efforts for known business problems.

Principles

Method

Strategic "Skills" involve a fixed-scope, fixed-price, fixed-timeline deliverable, executed by AI-accelerated protocols and reviewed by a human partner.

In practice

Topics

Best for: Executive, Director of AI/ML, VP of Engineering/Data, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Strategies for CEOs.