Build what gets used.
True value comes from creating solutions tailored to real organizational needs.
In a world where anyone can build now, true enterprise success isn't about chasing the newest technology. It's about bridging the gap between code and community. I bring battle-tested enterprise experience to organizations and educators across the nation to ensure your AI initiatives don't just sit on a shelf.
[ Let's Go Solve Yours ]True value comes from creating solutions tailored to real organizational needs.
Innovation is meaningless without widespread internal and external buy-in.
Getting the right AI tools into the right hands seamlessly across the enterprise structure.
Moving teams past friction and turning skeptical users into active advocates.
Establishing robust frameworks that guarantee security, clarity, and organizational alignment.
Long before aligning corporate boardrooms, I learned to command rooms full of skeptical strangers under the brick archways of standup comedy. Why does this matter for your AI strategy? Because the room tells the truth. If you cannot navigate human friction, align siloed stakeholders, and manage internal politics, your technology will fail before it even launches.










Kenan Weaver is an enterprise AI strategist based in New York City. He helps organizations and educators across the nation turn AI investment into adopted, working practice instead of shelfware. Across fifteen years in enterprise he has contributed more than $500M in revenue, driven an 85% adoption increase across enterprise clients, and worked with organizations including Apple, Verizon, Chase, AT&T, ExxonMobil, Bank of America, Monsanto, FIS, and the states of Pennsylvania and Alaska.
His work centers on three fronts. Distribution: getting the right AI tools into the right hands across the enterprise. Adoption: moving teams past friction until skeptics become advocates. Trust: frameworks that guarantee security, clarity, and organizational alignment. He is the creator of the Buy-in to Buy-in stakeholder mapping framework and is affiliated with Columbia University, where he works on the future of AI strategy and leadership.
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