How to Choose the Right AI Vendor (Beyond the Demo)
Adam Henderson explains how enterprise leaders can evaluate AI vendors beyond the demo using market evidence, real adoption, and credible sources.
Adam Henderson explains why enterprise AI transformation demands patience, due diligence, discipline, and a proven implementation process.
Overview
Enterprise AI transformation is not won by chasing the newest demo. In this short exchange, Ali Merchant asks Adam Henderson for one practical lesson for leaders navigating AI and broader technology change.
Henderson’s answer is patience: follow a deliberate process, learn from proven operators, and apply the discipline, dedication, and thoroughness needed to make decisions that hold up beyond the demo.
Key takeaways
Patience is an operating discipline, not a delay. It creates room for leaders to evaluate technology deliberately instead of reacting to the latest shiny object.
A proven process reduces the risk of hype-driven decisions. Leaders should learn from experienced operators and use repeatable evaluation criteria.
Due diligence matters more as AI decisions become more consequential. Thorough evaluation separates a compelling demo from a production-ready system.
Discipline, dedication, and thoroughness turn promising technology into durable transformation. Sustainable AI adoption depends on consistent execution.
Ali Merchant: A practical insight. All right. So, one last question from us: if you had to give just one advice to leaders who are embarking on a journey of transformation, whether they be AI—at this point of time, mostly it’s AI—or any other technology, what would be that one piece of advice that has always helped you make those transformations as easy and as smooth as possible?
Adam Henderson: Patience. That would be my biggest practical advice, is patience, because guess what, man? It’s always easy to run for the shiny coin under the fountain, right? It takes a little bit more discipline, dedication, and thoroughness in order to make the right decision.
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