​🏗️ Revenue Control Is Not a Dashboard, It’s Architecture: The AI RevOps Workshop (Munich)

​Most revenue leaders are flying blind with a 4k cockpit display. You have the dashboards. You have the data. You have the "Frankenstack" of AI tools. Yet, revenue remains a reactive game of "catch up" rather than a proactive system of control.

​Following a sold-out session in Berlin, we are bringing the refined AI Revenue Operations Workshop to Munich. This isn't just a lecture—it’s a high-speed construction zone for your revenue engine.

​The Philosophy: Architecture Over Analytics

​Revenue is not an outcome; it is the result of a system. To scale, you must move from Revenue Monitoring (looking backward) to Revenue Control (architecting the future). We will show you how to move AI from a "cool feature" to the structural backbone of your growth.

​⚡ The "Aha" Moment: Live AI Agent Build

​Theory is cheap; execution is everything. To prove how accessible this architecture has become, we are including the most popular segment from our Berlin workshop: The Live Build.

​Within 15 minutes, I will build a fully functional ICP (Ideal Customer Profile) Grader Agent live on agent.ai. You’ll witness exactly how to move from a manual, messy qualification process to an automated AI agent that scores leads and identifies high-intent accounts in real-time. No fluff, no slides—just raw, functional AI deployment.

​🛠️ What We’ll Build Together:

• ​The Live Build: Watch the 15-minute creation of an ICP Grader and learn how to deploy similar agents across your funnel.

• ​Beyond the Dashboard: Why your current reporting is lying to you and how to build a "Control Layer" that predicts slippage before it happens.

• ​The AI RevOps Stack: A blueprint for integrating AI into your architecture to automate data hygiene and pipeline forecasting.

• ​Systemic Predictability: How to transition from "heroics" (individual sales wins) to "systems" (architectural wins).

​🔍 The Next Step: The Revenue Stress Test (Audit)

​At the end of this session, you won’t just leave with a slide deck. You’ll leave with the framework to perform a Revenue Stress Test. For organizations at scale, we will introduce our proprietary Revenue Audit—a deep-tissue diagnostic designed to identify the "structural cracks" in your RevOps architecture. Before you add more AI, you need to know if your foundation can hold the weight. Attendees of this workshop will receive priority access to book a Stress Test consultation.

​📅 Event Details

• ​Where: Munich (straight. GmbH, Leopoldstrasse 154)

• ​Who: RevOps Leaders, CROs, VPs of Sales, and Founders looking to move beyond "random acts of AI."

• ​Strictly Limited: To ensure high-level networking and technical depth, seats are capped.

​Stop watching your revenue. Start controlling it.

​The workshop will be held in English or German, depending on the attendee profiles.

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Your Hosts

Christian Geissendoerfer from vBase Digital

​​Christian is a veteran RevOps strategist with over 15 years of experience in high-growth ecosystems across Europe and Asia. He specializes in bridging the gap between legacy business processes and modern AI efficiency. As the founder of vBase Digital, a HubSpot Platinum Solutions Partner, Christian helps B2B organizations architect advanced AI workflows within the HubSpot platform. His focus is on delivering actionable roadmaps that empower leadership teams to optimize their revenue engine, improve margins, and achieve measurable digital transformation.

​​Frank Miller from straight.

​​Frank is a recognized expert in digital communication and an evangelist for "Smarketing"—the seamless alignment of Sales and Marketing. With over 25 years of experience in digital transformation, he leads the Munich-based agency straight., where he focuses on AI-supported marketing automation and CRM strategy. Frank is dedicated to helping companies operationalize AI to solve complex dialogue and lead-management challenges. Through his "Smarketing Alliance" initiative, he supports teams in implementing the technical and cultural shifts required to thrive in an AI-driven revenue landscape.
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