Move From AI Experimentation to Enterprise Value.

When this becomes a leadership issue

AI pilots are multiplying without a clear business case. Executives disagree on priorities. Or the organization needs to move from experimentation to funded adoption and commercialization.

Questions leadership should be asking

• Which AI opportunities actually matter to the business?

• What measurable value should they create?

• What data, technology, and operating changes are required?

• How will adoption and economics be measured?

• What would make this a funded initiative rather than another pilot?

How Anderson Strategy Consulting helps

We start with the business decision, not the model. Use cases are prioritized by value and feasibility. Business cases are built with economic rigor. Technology choices are connected to adoption, operating model, and commercialization—so AI moves from experiment to enterprise return.

What this work is designed to produce

• Prioritized use cases with clear ROI and funding paths

• A structured path from experimentation to production adoption

• Pipeline and engagement models that convert interest into signed work

• An AI agenda leadership can defend and resource

Relevant executive experience

Prior experience includes $29M in documented AI/analytics pipeline, 30+ enterprise AI engagements ($50K–$250K range), a $400K gaming data strategy spanning 5,000 titles and 110M users, and enterprise AI and data initiatives across media and technology.

Ideal for

CIOs, Chief Data Officers, and product leaders in media, financial services, or technology firms ready to move beyond demos and into measurable enterprise value.