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EPISODE · Mar 27, 2026 · 26 MIN

AI in B2B Forecasting: Making AI Work

from ayeQ Answers · host Dana Marxer

AI in revenue forecasting is inevitable. But most executives don’t trust the answers.Why?Because AI can’t fix what it can’t see.In this episode of ayeQ Answers, we break down why most B2B companies don’t actually have a model of how revenue works—they have data, stages, and dashboards.We explore:why forecasts are often wrong (and hard to trust)how a clear revenue model changes board-level conversationswhat it takes to move from reporting → decision-makingand why AI only becomes useful once your GTM system is structuredIf you’ve ever questioned your forecast—or your AI—this episode will show you what’s missing.

Episode metadata supplied by the publisher feed · Published Mar 27, 2026

What this episode covers

AI in revenue forecasting is inevitable. But most executives don’t trust the answers.Why?Because AI can’t fix what it can’t see.In this episode of ayeQ Answers, we break down why most B2B companies don’t actually have a model of how revenue works—they have data, stages, and dashboards.We explore:why forecasts are often wrong (and hard to trust)how a clear revenue model changes board-level conversationswhat it takes to move from reporting → decision-makingand why AI only becomes useful once your GTM system is structuredIf you’ve ever questioned your forecast—or your AI—this episode will show you what’s missing.

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This episode is 26 minutes long.

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This episode was published on March 27, 2026.

What is this episode about?

AI in revenue forecasting is inevitable. But most executives don’t trust the answers.Why?Because AI can’t fix what it can’t see.In this episode of ayeQ Answers, we break down why most B2B companies don’t actually have a model of how revenue...

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