Columbia-based technology consultant and author argues that competitive advantage will go to organizations that adopt AI wisely — not those that adopt it fastest
COLUMBIA — As headlines and board questions push companies to “do something” with artificial intelligence, technology consultant and AI strategist Tzvi Boxer is warning business leaders against urgency culture — and urging a judgment-first approach to adoption that protects budgets, teams, and trust.
Boxer, who is based in Columbia, works remotely with Optimal Targeting, and is the author of The Practical AI Playbook, says the most expensive AI failures he encounters share a pattern: tools purchased under pressure before problems are defined, data is ready, ownership is assigned, or success is measurable.
“AI doesn’t require urgency. It requires judgment,” said Tzvi Boxer. “The advantage will not go to the businesses that adopt the most AI. It will go to the ones that adopt it wisely. Urgency culture turns demos into decisions. Judgment culture turns decisions into outcomes you can measure.”
Boxer distinguishes between healthy pace and reactive spending. Judgment-first adoption, in his framework, means leaders can answer plain questions before contracts are signed: What operational problem are we solving? Is the work pattern-based enough for AI or better suited to rules-based automation? Is our data trustworthy? Who owns the system internally? How will we measure success — and when will we stop if it fails?
He notes that urgency often pushes organizations toward AI when simpler interventions — clarifying process ownership, cleaning data, or automating predictable steps — would deliver more value with less risk. Confusing automation with AI, he adds, leads to unused licenses and unnecessary complexity.
“Responsible AI is part of judgment, not a footnote,” Boxer said. “Privacy, security, transparency, and human oversight are how you build systems people can sustain. Speed without those is just a faster way to create operational debt.”
With more than 20 years of experience advising organizations on systems modernization and practical technology strategy, Boxer encourages leaders to replace “Are we behind?” with “Are we clear?” and to treat delay as a valid strategic option when readiness is missing.
Resources on judgment-first AI decisions and The Practical AI Playbook are available at https://www.tzviboxer.com/.
About Tzvi Boxer / Optimal Targeting
Tzvi Boxer is a technology consultant and AI strategist based in Columbia. He helps organizations modernize systems, streamline operations, and decide where AI and automation actually add value. Remotely, he collaborates with Optimal Targeting on practical AI strategy and high-authority content work grounded in clear expertise and operational reality. He is the author of The Practical AI Playbook. Learn more at https://www.tzviboxer.com/.
Media contact
Tzvi Boxer
Optimal Targeting (remote)
Email: tzviboxer1@gmail.com
Web: https://www.tzviboxer.com/
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