SaaSiest Munich 2026

Scaling a SaaS company is a constant process of breaking and rebuilding. The question isn't whether your current model will break. It's whether you'll know what to carry forward when it does. Fabian Veit, CEO of Make.com, draws on experience scaling two high-growth companies to share the three things that consistently survive. Practical, honest, and grounded in real experience.

Our Marketing Now Runs on AI Agents While I Sleep - Here's the System I Built

Learn how I built a fully automated pipeline that goes from customer call recordings and search data to published EN + DE blog posts every Monday morning, without a single human touch, automated Google Ads optimization, LinkedIn ad variant generation, an email nurture engine, and a pipeline that turns product recordings directly into case studies and how-to content. You'll leave with a concrete blueprint for what an AI-native marketing setup looks like in practice: what to build first, what signals actually matter, what it costs, and where you still need a human in the loop.

Most SaaS companies try to land the biggest possible enterprise deal. Parloa learned the opposite lesson. In this session, Sven Grube shares how his team built a new operating model around strategic accounts, helping turn customers like IKEA, Booking.com and many others alike into long-term growth engines through value creation, cross-functional pods, and relentless focus on customer success.

AI promises to make your team faster. But faster individuals don't automatically make a faster company. In this session, Tobias Schmidt — VP & GM DACH at Miro and former 16-year Microsoft leader — shares the unfiltered story of how Miro rebuilt its entire GTM org with AI. What changed in outreach, forecasting, and enablement. What almost derailed it. And the three things every CRO needs to get right before scaling AI across their revenue team.

~80% of B2B buyers go with the first vendor they seriously evaluated. And that evaluation happened in the dark without you, before a hand was raised. So how do you show up in the dark and make your product the obvious choice?

Reputation. Brand. Trust.

In this session I will share how you build a reputation engine that wins the buying journey you can't see. I'm diving into the concrete stuff and sharing a system we built, broke slightly, fixed, and now have real numbers on.

In this session, you’ll learn how to use Claude Code to build an AI-powered operating system for your product team. We’ll show how to connect context, workflows, and team habits so AI can support day-to-day product work in a practical way. The session is hands-on and interactive, focused on real use cases, shared workflows, and concrete ideas you can adapt to your own environment.

A hands-on, 3-hour workshop where SaaS CFOs build AI agents, automations, and workflows for real finance challenges.

Learn how leading finance teams are using AI today, then create practical solutions you can take back to your business immediately.

You'll leave with:

• AI agents and workflows you've built yourself
• Real-world CFO use cases and inspiration
• Practical skills you can apply right away

Everyone is building AI. Almost nobody is building a brand. In a category where every pitch sounds the same and every competitor is the same shade of purple, octonomy's VP Marketing Maren Kaspers shares the lessons from 24 months of building a Business-AI brand from zero — on a small budget, with a small team. From bold positioning and standing out, to building trust, trusting talent, and knowing your numbers, this is a candid, practical playbook for SaaS marketing leaders who need to cut through the noise.

A talk about what actually went wrong when they worked to make their company AI-first — not the technology part, but the human part. She walks through three specific blockers they hit, the human cost of downsizing from a product & engineering team of 40 to 5 engineers, and what finally worked

The old pipeline generation playbook may be dead, but some of the underlying principles still work. In this session, Guido de Vries shares what is actually driving pipeline and revenue growth today, what tactics have stopped working, and how modern SaaS teams are adapting to win in a changing market.

AI is changing how enterprise software is sold, but not what ultimately drives great sales outcomes. Research, content creation, and execution have become faster, cheaper, and more visible, raising the standard for every seller. Yet enterprise sales remains a human business built on trust, judgment, political navigation, and accountability. Buyers are not just choosing software, they are making high-stakes decisions with organizational and personal risk attached. In that world, AI will amplify the best sellers, but it will not replace the ones who can create confidence and lead through complexity.

Finally, a talk for operators that isn’t about AI...This session challenges some of the most common assumptions in B2B SaaS, and why they might be killing your growth. Drawing on experience across 100+ B2B SaaS companies, this session will uncover the patterns behind missed targets, inefficient pipelines, and growth that looks good on the surface… but doesn’t scale.If you’ve ever been told you just need more leads, more pipeline, or more activity, this session is for you.

In this session, Benedict Marzahn, Co-CEO of Alasco, shares the honest story of how Alasco successfully managed their own AI transformation and how this drives the future growth of the company. He shows the current AI setup and tangible internal use cases, and walks through the key success factors that made the transformation work. Most importantly, he shares how the entire journey led to something nobody originally planned for: a brand new venture, built from within the scale-up itself, that is now set to be one of Alasco's most exciting growth levers.

In a world, where everything is moving to AI and agents, what is left for us humans? Quite a lot of things, we just need to reinvent our roles and re-focus on our most human ressources and advantages, an AI cannot replace. Kristina is currently resolving the product management team, as the times of classical product management and design are over. However, she will share what are the skills and ressources needed even more, so we can get most out of AI and in the end, generate true impact and drive real growth instead of noise.