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AI-based forecasting is everywhere in B2B SaaS. Yet many executive teams quietly ignore the outputs. Why? Because the forecasts don’t align with reality. Hot deals don’t close. Indicators get missed. Numbers shift. Confidence erodes. The issue isn’t AI. It’s that AI is being trained on flawed revenue models and inconsistent data. In this session, we’ll challenge the hype around AI forecasting and introduce a different approach: designing your growth model first — then architecting your data and AI around it. You’ll learn how to: • Diagnose why today’s AI forecasting often underperforms • Design a clear, human-understandable RevOps growth model • Architect data to match how your business actually scales • Surface and fix bad data quickly through model inspection • Train AI on transparent, explainable revenue logic • Use scenario modeling to move from hopeful growth to designed growth This webinar is for CEOs, CFOs, CROs, CMOs, and RevOps leaders in high-growth B2B SaaS who want forecasting that drives confident decisions — not just better dashboards. Because growth shouldn’t be hopeful. It should be designed.