Content strategy
Finding the signal, shaping the story, and making complex information usable.
About Christina
I help leaders make complex technology decisions more human, coherent, and actionable.
I work at the intersection of enterprise AI, innovation, architecture, and executive decision-making—turning emerging technology into a shared understanding of what to do next.
Christina AdamesAI Strategy Lead · CDW IBM Practice
My through-line
Different disciplines, one consistent aim: helping people understand complexity well enough to act.
UX & product
Grounding technology in real needs, workflows, decisions, and consequences.
Innovation design
Using discovery, facilitation, and prototypes to reduce consequential uncertainty.
Enterprise AI
Connecting business value, architecture, governance, and human judgment.
How I work
Technology matters. The decision system around it matters more.
At CDW, I serve as AI strategy lead for the IBM practice—helping shape how we understand the market, position watsonx and agentic AI, connect software and infrastructure strategy, and translate customer interest into credible opportunities.
Across 15+ years in strategy and design, I have learned that durable progress comes from bringing the right questions into the same room: What outcome matters? Where will the system act? What information will it touch? What evidence will earn trust?
Start with the consequential decision
Define what leaders need to understand or choose before deciding what to build.
Make architecture part of strategy
Models, data, infrastructure, identity, cost, and governance shape the business outcome together.
Use evidence to create alignment
Workshops, narratives, prototypes, and pilots help stakeholders examine the same future.
Protect the role of human judgment
Responsible AI begins with explicit boundaries, visible accountability, and respect for the people affected.
Clarity matters.
So do people.
The way we work together matters as much as the direction we choose. Listening carefully, seeing people’s strengths, and following through are part of the work.
A colleague’s perspective
Trustworthiness and consistency are adjectives that come to mind when I think of Christina. She also sees the best in others.
15+years in strategy & design
100+enterprise engagements
2,000+workshop hours
$50M+opportunities influenced
Speaking, media & publications
Ideas in public.
A curated selection of writing, interviews, and conversations about enterprise AI, agentic systems, technology economics, and the future of work.
Published writing · CDWJune 15, 2026
Editorial image placeholderPublished writing · CDW
Scaling AI Without Scaling Costs Starts With Token Awareness
A practical look at token economics, model selection, governance, and the operating discipline required to prevent AI consumption from becoming uncontrolled cost.
Read on CDW ↗Influencer interview · CXO Spice2026
Editorial image placeholderInfluencer interview · CXO Spice
What CDW + IBM Bob Reveals About the Future of Enterprise AI
A conversation with Helen Yu about modernization, institutional knowledge, cost architecture, and turning AI productivity into durable business capacity.
Watch the interview ↗Featured from CenteredJuly 15, 2026
Editorial image placeholderFeatured from Centered
The Reordering of the Enterprise Technology Stack
Why the convergence of applications, agents, data, infrastructure, and human judgment demands a new leadership model—not another isolated technology strategy.
Read on LinkedIn ↗Panel · Tampa Bay Business & WealthSeptember 9, 2025
Editorial image placeholderPanel · Tampa Bay Business & Wealth
From Hours to Outcomes: The Future of Work in an AI World
A Fractio panel on measuring value through outcomes, building transparency around AI-enabled work, and preserving trust as work changes. Christina participated as founder and CEO of Corus Innovation Labs, her role at the time.
Read the coverage ↗Speaking · Media · Educational work
Bring me the consequential question.
I welcome thoughtful conversations about enterprise AI, agentic development, partner ecosystems, and the decisions technology alone cannot make.
Start a conversation ↗