How does a fast-growing, multi-country company move from grassroots experimentation and scattered AI tools to a scalable, AI-first way of working? SumUp shares its journey from early hackathons and fragmented tooling to consolidating on Langdock, rolling out to thousands of employees across multiple countries, and building enablement across the business while balancing governance with experimentation. The session combines an honest conversation about adoption, compliance, and change management with a practical live demo of an internal workflow.

Almost every AI system in this room can only see inside the company, because reaching the open web has meant proxies, bot blocks, and someone to fix the scraper at midnight. In this keynote Anil builds a self-repairing web data pipeline live on stage in under five minutes, without writing code, then breaks the source site so the room can watch it recover. For operators who have automated everything except the outside world

Maxim Romanovsky leads AI & Product Engineering at Deutsche Bank, where he's rolling AI coding tools out to thousands of software developers working on decades-old systems. In this keynote he'll walk through what AI adoption actually means at that scale: the roadmap they're following, the problems and risks that show up along the way, and how they measure whether it's working.

This thinking workshop teaches participants how to analyze a spreadsheet-based business process and translate it into an app concept.

Using a real-world booking process as an example, participants learn how to identify the underlying data model, design role-specific interfaces, and define automations for recurring steps.

Softr is used as the app-building layer, while n8n is introduced as an optional automation layer for more advanced workflows. The focus is not on tool features, but on the principles behind building useful applications.

David Gebhardt is CTO of Mobile.de, one of Germany's oldest digital companies, and Dr. Markus Schüler is its Director of Data, Analytics and AI. In this fireside chat they'll walk through what it actually took to move AI adoption beyond pilots inside a 1,000+ person, 30-year-old organisation - why they bet on Langdock, what it unlocked across teams, and where the hardest blockers turned out to be people and process, not technology.

Ingo Bartel is Director of Technology at mobile.de, where 250 engineers maintain one of Germany's oldest digital platforms - a codebase running in production for 30 years. In this keynote he'll walk through how they're introducing AI coding tools into that environment: rolling out Claude Code and GitHub Copilot, building a custom code search MCP to give AI context across their entire repository, shipping Obi (an in-house observability agent), and navigating the compliance constraints that rule out tools like Cursor - all while the train keeps running.

The tax advisory industry is at the beginning of a major transformation. In this fireside chat, we’ll speak with Melchior Neumann of Neuplaner and Silvano D’Agostino of Kambria about why a highly regulated, standardized environment can actually be the perfect setting for AI to create real value. Germany’s uniform structures, repeatable processes, and established system landscapes offer especially strong conditions for scalable AI applications. Together, we’ll explore concrete use cases, what it takes to enable organizations to adopt AI effectively, and how a traditionally conservative industry can become a frontrunner in AI transformation.

Ori Simantov, Director of AI Transformation at HiBob, built an internal AI transformation team from scratch and led the company to 90%+ AI adoption - scaling from early agent experiments to 2,500+ Custom GPTs across departments, with 200+ integrated into real daily workflows.

In this fireside chat he'll walk through the full journey: how the team is structured, how HiBob governs bottom-up AI adoption without killing momentum, how the goalposts shifted from "build agents" to "prove ROI", and lessons from open-sourcing AgentsOrg, the governance platform he built internally to discover, score, and manage every GPT across the organisation.

Janick Tacke is Operations Director at Flatpay, where a sales organization running on spreadsheets ended up with an AI system analyzing a million customer calls - built with Jan Stemplewski of Heuristiq and no in-house data team. In this fireside chat they'll trace the route from the first Google Sheet to production: what the call data revealed about how deals are actually won, what it took to get there without hiring, and where an external partner can support building this capability.

At Peter Park the processes being automated are physical: parking sites surveyed, equipped and brought live. Their biggest challenge isn't shipping new automations - it's managing hundreds. Florian Kristof, who leads Automation & AI there, walks through the operating discipline that keeps a large automation estate from quietly rotting, and where AI genuinely earns its place in that picture. Especially relevant for organizations whose automation practice is maturing - and whose challenges are growing with it.

What does it actually take to roll out AI across an organization? This keynote looks at the journey from building the right data and platform foundations to integrating AI into day-to-day work in a way that people actually use. Drawing on a real transformation case, this keynote covers both the technical side of implementation and the organizational side of adoption and what it takes to turn early momentum into lasting business impact.

How Plancraft's RevOps team used AI and automation - including an unconventional van-spotting channel - to scale their sales team from 10 to 30 reps and drive thousands of qualified leads and significant ARR.

Igor Araujo, Software Engineering Manager at AWS, works everyday with Kiro - AWS's agentic IDE focused on spec-driven development.

In this fireside chat he'll share how agentic coding changes what software development teams look like, how far that impact reaches into their work, and what happens to engineers once code itself becomes a commodity.

In this keynote, Maximilian Beiche will share some of his best practices for implementing the transparency requirements under the EU AI Act, drawing from his extensive experience advising clients. Maximilian is a Tech & AI lawyer and Salary Partner at WIPIT, a law firm specialized in Venture Capital and Technology law. There, he advises developers, founders, C-level executives, and AI transformation leads on what the EU’s AI regulation stack actually means in practice.

Most AI enablement happens one company at a time. RM Equity Partners did it across a whole portfolio at once.

In this fireside chat, Eugen B. Russ, Managing Partner gives the investor's view: what it takes to run enablement at portfolio level, what changes when the mandate comes from the fund rather than the management team, and how AI capability is starting to shape the way investors look at the companies they back. For investors thinking about AI adoption across their entire portfolio.

Search APIs hand your LLM someone else's index: noisy snippets, wasted tokens, results that almost fit. Rented context. In this hands-on session you build context you own: a search engine over exactly the slice of the web you care about. Pick an e-commerce site, then vibe code the full pipeline: scrape its product pages, index them in a vector database, and query your new engine from an LLM. The payoff: context that is exactly what the model needs, far fewer tokens per answer, and faster responses. You leave with a working search engine over the store you picked, a blueprint that applies to any site you point it at, and a head start on the shift from renting context to owning it.

Jesuena Reimer, Founder & CEO of Mindflows, built Primal OS: one system serving seven user groups — 40 internal staff plus thousands of external customers, vendors, and clients, each with their own view and permissions. She'll show how it replaced manual, cross-country email coordination with structured workflows on top of existing data, and the security model that keeps thousands of external users safe.

Alexander Rausch is a serial operator - ex-COO at Amorelie and Joblift, founder of Chronext - who built Certa, an independent real estate appraisal firm operating in one of Germany's most analog industries, without an engineering team.

He started with heavy automation, and recently moved to coding Certa's entire company OS himself - with Claude Code. CRM, sales prioritization, financials, OKRs, bonuses, forecasting, and the AI agents that step into customer conversations before churn happens.

In this keynote he'll show what a non-technical operator can realistically ship at each stage - and how this allows Certa to grow 150%+ YoY with only 3 net new hires.

Benchmarks can tell you which model looks best in a test. Production traffic tells how they actually work. In this keynote, Requesty CEO Thibault Jaigu shares lessons from real AI workloads: model leadership shifts quickly, provider behaviour matters, and agents compound latency, retries and cost. He'll explore what this means for teams building AI systems that need to stay reliable and efficient as models, providers and workloads keep changing.

Most teams can build almost anything now — yet most AI initiatives never turn into real business value. Dr. Philipp Schlenkhoff, Co-Founder of AITI, takes a holistic view of what it actually takes: from evaluating a use case against business goals (including the classic business-case math), to delivery, to anchoring AI in the organization and in management so it sticks. He'll show where value gets lost along the way — and how to avoid the POC graveyard.

Katharina Menzel is Head of Recruiting at HeyJobs and co-leads the company's AI enablement program with their CTO.

In this fireside chat she'll break down HeyJobs' playbook: the tiered operator/builder model, the AI ambassadors network, and the decision to bake AI fluency into performance reviews. The honest version of how "we should use AI" became something everyone actually does.

Business Automation & AI Managers: A role evolving at the intersection of business and technology, growing from no-code/low-code roots to become AI-first generalists focused on solving pure business problems. We share hands-on insights on the rise and evolution of this new modern role in light of recent technological progress. AI has transformed the way we think, work, and define future success.

Pedro Lucena, Senior Solutions Engineer, will share Kapaya’s experience from innovating with and transforming 800+ organisations: the challenges, learnings and takeaways and examples of navigating the enterprise reality

A customer story, told by JetBrains. Maria Gurova leads Marketing Communications at JetBrains — one of the most respected dev-tool companies in the world, known for a no-hype, realist take on AI. In this session, she and Damir Fatkhriev (Kinetik) talk through what's actually happening inside JetBrains' marketing team right now: an ongoing set of experiments with different AI tools on the market, Kinetik among them — some landing well, some not, and adoption spreading unevenly across the marcom team rather than in one clean sweep.

Walk away with: a grounded, realistic picture of where AI adoption in enterprise marketing genuinely stands today, and what to expect (and not over-expect) when you start running the same experiments on your own team.

Mobile might just unlock growth for your business, and there's never been a better time to get a mobile app into the App Store. Nick Carroll, Lead Product Manager at Bubble will show you how you can build one - live. From generating the app from a prompt, testing it on a phone, then walking the submission flow. No prior experience with app builders needed.

Walk out with a plan for taking a whole team from AI curiosity to daily use. Jan Meinecke and 9x have trained 20,000+ business operators and the same lesson keeps repeating: the content is rarely the bottleneck, finishing is. You'll work through what to teach first, how to structure a rollout people actually complete, and which signals show adoption is real. For anyone responsible for a team's AI skills.

idealo and Naviu share how they built a platform to generate AI videos at scale for social media. From the strategic why, to the product and process behind it, down to the technical details of prompting and pipeline orchestration. A look behind the scenes of shipping AI in production.