Category: Go-To-Market (GTM) Strategy

Your AI Strategy Did Not Fail. Your Operating Model Did.

Why your AI Operating Model Determines AI Value The uncomfortable truth about AI transformation is that roughly 75% of the work happens outside the model, and most organizations have not budgeted, staffed, or assigned ownership for it. Key Takeaways Table of Contents The uncomfortable math of AI transformation The uncomfortable math of AI transformation is […]

Your AI Can Do the Work. Should AI Also Make the Decisions For You?

Human in the Loop AI – Would you let AI run your business—or only the parts of it that do not require human judgment? That question is becoming increasingly important as AI moves beyond writing content and answering questions. New AI systems can monitor business activity, analyze information, recommend actions, update records, contact customers, schedule […]

How to Ground Synthetic Customers and Prevent AI Acquiescence Bias

Executive Summary The “Brown-Nosing” AI Twin: Confronting False Confidence in Synthetic GTM Testing. Enterprise Go-To-Market (GTM) strategy has entered a precarious era of simulated validation. As Chief Marketing Officers (CMOs), Chief Revenue Officers (CROs), and Chief Product Officers (CPOs) seek to bypass the high costs and protracted timelines of traditional B2B research, they have turned […]

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