This report argues that traditional go-to-market systems have become over-engineered and disconnected from modern buyer behavior. While AI usage has surged 893% since 2022, only 19% of companies believe their data is AI-ready. The report shows that poor data quality costs organizations 15–25% of revenue and that scaling automation without trusted signals amplifies inefficiency. It introduces a new model centered on real-time, signal-driven GTM Intelligence, replacing rigid funnels with adaptive workflows powered by unified data. Case examples demonstrate improved pipeline, conversion rates, and revenue growth. The report concludes that organizations must move from volume-based execution to intelligence-driven orchestration to compete effectively.

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