AI Pilots to Predictable Revenue with Justin Shriber (Terret) and Andrew Kodner (Docusign) скачать в хорошем качестве

AI Pilots to Predictable Revenue with Justin Shriber (Terret) and Andrew Kodner (Docusign)

Most GTM organizations are stuck in AI pilot purgatory. Tools deployed. Experiments promising. Revenue impact unclear. Andrew Kodner (GTM Transformation, DocuSign) and Justin Shriber (CEO, Terret) break down the operator's blueprint for moving from AI experiments to predictable revenue outcomes. What we cover: 00:00 – Introduction 02:45 – What keeps revenue leaders up at night 08:30 – Why strategy, operations, and execution stay disconnected 15:20 – The Revenue Graph: complete context for AI 22:10 – Access controls, data associations, and context compression 31:45 – Real example: 73 lost deals analyzed in 30 seconds 38:00 – Auto-generating playbooks from what closers actually do 42:30 – Pre-call scripts and post-call evaluations 47:15 – The ROI math: asymmetric growth without adding headcount 52:00 – Q&A Key takeaway: The gap between AI experimentation and revenue impact isn't technology—it's sequencing. Start with data, operationalize what works, activate it in moments that matter. To get the assets mentioned in the recording, drop a note to marketing@terret.ai. About Terret: Terret is the only platform where execution, forecasting, and AI-powered strategy interlock to grow revenue while shrinking costs. https://terret.ai #RevenueOperations #SalesForecasting #AIinSales #RevOps #GTM #RevenueIntelligence #SalesExecution #b2bsalestips #b2bsales