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Organizations are investing in AI.

"Just 39% of organizations report any EBIT impact from AI at the enterprise level." 
McKinsey, November 2025

The promised outcomes haven’t materialized

The problem isn’t the technology. It’s Business

Train Tracks that don't meet.

AI strategy must be aligned to real business outcomes.

  • It is hard to justify AI investment without measured business results.

  • It is harder to explain to a board why the results were promised and never came.

  • The organizations seeing real value are not the ones with the most sophisticated technology.

  • They are the ones with the most disciplined strategy.

"Strategic clarity beats tools in driving sustained impact", BCG 2026

How AI Strategies Succeed

They start with the business, not the technology. Rather than chasing tools, platforms, and the latest capabilities in search of a problem to justify them, successful organizations define business goals first,  then identify the AI use cases that serve those goals.
 

They assess organizational readiness honestly. Business and IT define “ready” differently. Gaps in skills, data, culture, and systems are surfaced early, when they can be addressed, not late, when they are expensive.
 

They focus on realized value. Use cases aligned to business metrics give boards and executive teams the EBIT impact they were promised, not activity reports dressed up as results.

They pursue the right use cases. Properly aligned to business goals, honestly assessed for feasibility, and grounded in real ROI

Shows the tracks now meeting with the right strategy.

Strategy Eats Innovation

Success means the trains leave and passengers are boarding.

Introducing the
Business of AI Roadmap

  • A structured, business-owned framework, and the platform to make it operational.

  • Starts where every AI strategy should: with your business goals, your organizational readiness, and the use cases that can actually deliver value. 

  • Rigorous evaluation of Use Cases, feasibility, data readiness, security, governance, training, and ROI, so your leadership team can make confident, evidence-based decisions about where to invest and where not to.

Business of AI Roadmap Image

Your organization owns

the platform, the data,

& the process.

The first step is a focused discussion on your business objectives, current AI initiatives, and organizational readiness.

 

  • No sales presentation.

  • No technology pitch.

  • Just a structured conversation about whether your AI strategy is positioned to deliver real business impact.

 

Schedule an Introductory Discussion

Brian Silverman is the creator of the Business of AI Roadmap, co-host of Three Takes on AI, and a contributing writer on AI strategy, governance, and organizational readiness. Based in Longview, Texas.

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