{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Beyond the Prompt","title":"Agentic AI that makes elite GTM teams superhuman  | Frank Wittkampf","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/32e0126d\"></iframe>","width":"100%","height":180,"duration":2101,"description":"Ever wonder how massive sales forces at companies like Microsoft, Salesforce, or Databricks manage to consistently hit their targets and understand complex customer needs? A huge part of the answer lies in sophisticated, AI-driven insights, and today's guest is right at the heart of building that technology.Today, I'm joined by Frank Wittkampf, Head of Applied AI at DataBook. DataBook is a platform designed to supercharge enterprise sales productivity. They don't just offer generic AI; they build deeply specialized systems that analyze vast amounts of data – financial reports, news, competitive landscapes, even proprietary insights – to tell salespeople exactly what to position, why, and when.   They are moving beyond simple chatbots or free-form AI agents. DataBook focuses on applied AI, using what Frank calls 'guided reasoning' to ensure the insights delivered are consistent, reliable, and directly drive sales outcomes, like significantly increasing deal sizes.   In this episode, Frank dives into how DataBook's AI works, why a 'guided' approach beats pure agentic systems in enterprise, the surprising challenge of people over-imagining AI's current capabilities, how they navigate the R&D frenzy to deliver real value, and their vision for a future where AI proactively coaches you.TakeawaysWhy \"Guided Reasoning\" Beats Pure AI Agents: Enterprise needs predictable, repeatable outcomes - not creative explorationThe Over-Imagination Problem: Why Computer Use and other flashy AI features aren't ready for enterprise deploymentData Strategy That Works: How Databook combines public data, proprietary datasets, and pre-solved analysis for instant insightsR&D vs Reality Balance: Practical framework for experimenting with cutting-edge AI while delivering customer valueThe Future is Proactive: Why the next leap in AI isn't just responding to queries, but actively coaching usersEnterprise Integration Challenges: Real talk about data access, security approvals, and building...","thumbnail_url":"https://img.transistorcdn.com/eSC9BT6kAR6mFLT5B3PkFQecUrFiKJoyp1yNS5fXBFM/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iY2E0/ZjZiYjllNThiNzFi/ZTM0ZTQ5NmVhYjQx/YWQ2Yy5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}