Whitepaper · April 2026
AI Success Management™: The Discipline That Keeps AI Delivering Value
Why governance alone fails. How Customer Success Management principles transform AI from a project into a continuously optimized strategic asset.
Executive summary
AI initiatives are funded as projects. The market manages them as projects. The numbers are what they are: 85% fail to deliver on objectives, 76% of organizations lack mature governance, and the regulators are starting to ask sharper questions. The cause is rarely the technology. The cause is the missing management practice.
Two decades ago the SaaS industry hit the same wall with a different asset. The answer was Customer Success Management. The Boxwood whitepaper makes the case that the same lens applied to AI portfolios closes the gap that AI governance, AI assurance, and MLOps each address only in part. The whitepaper introduces the G.A.A.R.E. lifecycle and the Value-First Method™ as the operating system for that discipline.
Inside the whitepaper
- The problem and the four failure modes
- The missing discipline and the CSM parallel
- What AI Success Management actually is
- The AISM™ lifecycle model
- The Value-First Method™: People, Process, Policy
- The execution matrix at every pillar
- Three scenarios from financial services, healthcare, and SaaS
- The AISM Health Score
- Getting started with AISM
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For boards. For executives. For the team that owns AI risk.
The whitepaper is fourteen pages, written in board-ready language. The thesis is simple. The implications are practical. The path forward is concrete.