AI Demo vs. Production: What Enterprise Leaders Get Wrong | Adam Henderson
Adam Henderson explains AI vendor selection, secure enterprise deployment, beta testing, GovCon use cases, and what it takes to move AI into production.
Adam Henderson explains how enterprise leaders can evaluate AI vendors beyond the demo using market evidence, real adoption, and credible sources.
Overview
Every enterprise AI demo can look impressive, which makes vendor selection difficult. In this short conversation, Adam Henderson explains a practical starting point for choosing an AI vendor: study the companies leading the market, identify the organizations achieving credible real-world adoption, and learn from what proven operators are already doing.
Henderson also recommends using reputable trade publications and independent industry sources to separate genuine enterprise AI capability from polished sales presentations. The takeaway for technology, operations, procurement, and CX leaders is simple: evaluate an AI platform through market evidence, production use cases, customer outcomes, security requirements, and operational fit—not the demo alone.
Ali Merchant: How do you choose a technology vendor when every demo looks impressive? What actionable insight can leaders use? Adam Henderson: First, look at the leaders and who is making a real impact. If you are leading the pack, you may need to reinvent; if you are following—as most organizations are—find one or two true leaders and learn what they are doing. Reputable trade publications are another useful source for understanding the market.
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Adam Henderson explains AI vendor selection, secure enterprise deployment, beta testing, GovCon use cases, and what it takes to move AI into production.
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