Strategic Insights

3 Foundational Decisions That Separate the 6% Generating EBIT from AI

Ownership, portfolio discipline, and embedded governance—the operating-model choices that compound into enterprise-scale returns.

$49
Q4 2025·Megan C. Starkey·RBD.
90%
of high-ROI orgs have CEO-led AI
6%
of companies generate 5%+ EBIT from AI
65%
remain stuck in pilot mode
25%
of initiatives deliver expected ROI
Sources: McKinsey, The State of AI, November 2025 · Deloitte, AI ROI Paradox, October 2025 · IBM, Global CEO Study, September 2025
Executive Summary

Enterprise AI adoption is near-universal, but only 6% of organizations generate meaningful EBIT from it. The difference is not technology, talent, or budget—it is three operating-model decisions that create a compounding advantage no amount of experimentation replicates. This brief decomposes those decisions, presents the evidence behind each, and provides a 90-day path from reading to action.

Governing Insight

Build functional AI capability that drives measurable returns before scaling enterprise-wide.

The 6% do not run more pilots, adopt faster models, or hire more data scientists. They make three operating-model decisions that the remaining 94% avoid: they place AI under CEO-level ownership with P&L accountability, they impose portfolio discipline that concentrates resources on the highest-value use cases, and they invest in shared capabilities that eliminate the duplication trap.

Each decision is necessary. None is sufficient alone. Together, they create a compounding advantage that no amount of experimentation can replicate.

Inside This Brief
The three operating-model decisions that separate the 6% generating EBIT from AI from everyone else.
  • 3 original exhibits
  • 3 decision tools
  • 90-day action timeline
What’s Inside

What’s Inside

  • Functional Readiness Assessment Framework — a structured diagnostic for evaluating your organization’s AI operating-model maturity across ownership, portfolio, and governance dimensions
  • AI Portfolio Prioritization Matrix — a decision tool for concentrating resources on the highest-value use cases and eliminating low-impact pilots
  • Q4 Action Timeline — a 90-day sequenced roadmap from ownership resolution through governance embedding, mapped to quarterly milestones
  • Decision Framework — the three foundational questions every executive team must answer before scaling AI, with evidence-backed guidance for each
  • Simplified Starkey Scoring Preview — an introductory view of the proprietary scoring methodology for assessing AI initiative readiness and potential
  • Portfolio Elimination Criteria — a structured checklist for identifying which AI initiatives to stop, scale, or sunset based on value-capture signals
  • CIO/CTO Ownership Decision Guidance — a role-specific decision tool for resolving the ownership question based on organizational structure and AI maturity
  • 3 original exhibits with data visualizations mapping the adoption-to-value gap, ownership prevalence versus performance, and the three-pillar governance model
Strategic Insight
$49
Instant Access — Individual License
  • Complete strategic insight with three-pillar analysis
  • 6 exhibits including signature portfolio matrix
  • Simplified Starkey Scoring Preview (decision tool)
  • Portfolio Elimination Criteria (decision tool)
  • Ownership Decision Guidance for CIO/CTO context
A consulting engagement to evaluate AI functional readiness and portfolio strategy runs $15,000–$50,000. This brief delivers the analytical frameworks and decision tools for $49.
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Apply the operating-model decisions that drive EBIT from AI to your organization’s specific context.

RBD. partners with CIOs, CAIOs, and executive teams to resolve the ownership, portfolio, and governance questions that determine whether the value of AI compounds or stalls.

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