Rachael Bueckert and Eddie Reynolds dive into why most AI implementations in go to market fail and what it takes to build AI foundations that actually work. Using Sas's successful AI SDR that outperformed human reps in just 2 weeks as a case study, Eddie breaks down the critical foundational work that most teams skip when jumping straight to AI tools and prompts.
Eddie explains why the same elements that make human SDR teams successful are exactly what AI needs to work properly. This includes hyper-segmented buyer personas, clean data in your CRM, documented processes, and strong accountability from frontline management. The conversation reveals how Union Square Consulting built their own AI-powered content workflow and why having a human subject matter expert who already knows what good looks like is non-negotiable for AI success.
Read the full article here.
[00:00] Intro
[02:04] Why the Faster AI SDR story hits a nerve
[03:21] The failed attempts at AI SDR implementation
[05:08] Why go to market leaders jump straight to tools
[07:27] Key foundational elements for AI success
[12:08] What makes AI and human motions fail similarly
[14:10] Identifying bad versus missing data
[18:38] Defining good processes for accurate data
[24:43] The human component in process breakdowns
[28:45] Following the go to market efficiency pyramid
[30:18] The right time to introduce AI
[34:18] Using AI to accelerate content production
[42:02] Where teams should start with AI implementation
[44:49] How realistic are 2 week results
[49:23] Why old school mentality won't survive
[53:04] Maintaining momentum during foundational work
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