The day

• The Growth Trap: What do we do when 25% growth is no longer enough?

  AI-native companies are raising capital on triple-digit growth while established SaaS companies face very different expectations. Compare how CEOs are balancing growth, profitability and runway and where they draw the line between investing for more growth and building a sustainable, profitable business.

• If AI just made your team 30% more productive, do you need 30% fewer people?

  AI is starting to create real productivity gains, but what should you actually do with that extra capacity? Discuss whether to take the gains as lower headcount and higher margins, keep the team and accelerate growth, slow down future hiring, or redeploy people into higher-value work.

• What is too important to delegate: What do you still insist on owning as CEO, and why?

  As companies scale, CEOs are expected to delegate and remove themselves as bottlenecks — but some things may simply be too important to let go. Compare what other CEOs deliberately keep close, from customers and hiring to culture and key decisions, and why they believe it still deserves their personal attention.

• From SaaS to AI-native: What does it actually take to transform an existing software company?

  Adding AI features is one thing. Transforming an established SaaS business into an AI-native company is something entirely different. Hear what CEOs already on the journey have changed across product, technology, people, GTM and business model, what it cost, what went wrong and what impact they've actually seen.

• Seats, usage, credits or outcomes: How should we price our new AI-enabled offering?

  AI is challenging the traditional seat-based SaaS model, but the alternatives come with their own risks. Compare how companies are experimenting with usage, credits, outcomes and hybrid models, how they're testing willingness to pay, protecting margins and making the transition without cannibalising existing ARR.

• Your pipeline is moving too slowly: How do you actually shorten the sales cycle?

  Where are deals really getting stuck, and what can you do about it? Compare the practical changes GTM teams are making across qualification, discovery, demos, stakeholder engagement, procurement and legal to remove friction and get good deals over the line faster.

• Everyone is using AI in GTM. Who is actually making money from it?

  Sending more emails or summarizing calls isn't business impact. Compare where GTM teams are using AI to actually move commercial numbers, more revenue, higher conversion, lower CAC or reduced costs and which use cases have delivered measurable results.

• Our pipeline generation has fallen off a cliff. What are you doing about it to drive new pipeline?

  The old pipeline playbook isn't producing like it used to. Compare what's actually generating qualified pipeline today, which channels and tactics teams are doubling down on, what they've stopped doing, and where they're finding new sources of demand.

• Seats, usage, credits or outcomes: How should we price our new AI-enabled offering?

  AI is challenging the traditional seat-based SaaS model, but the alternatives come with their own risks. Compare how companies are experimenting with usage, credits, outcomes and hybrid models, how they're testing willingness to pay, protecting margins and avoiding cannibalisation of existing ARR.

• Your customers are asking ChatGPT who to buy from. How do you make sure you show up?

  Software discovery is moving beyond traditional search as buyers increasingly turn to LLMs for research and recommendations. Compare what companies are doing to become visible and recommended in AI-generated answers, how they're measuring it, and whether it's actually translating into pipeline.

• If technology is no longer your moat, what is, and how do you build for it?

  Products and features are becoming faster and easier to replicate. Here we’ll discuss what can create a durable competitive advantage instead, brand, distribution, data, community, ecosystem, customer relationships or something else,and what companies are deliberately building today that competitors will struggle to copy tomorrow.

• Winning the enterprise: What does it actually take to win enterprise size deals?

  Moving upmarket means bigger opportunities, but also more stakeholders, longer cycles, procurement, security and greater perceived risk. Compare how companies are breaking into enterprise accounts, building champions, navigating complex buying processes and becoming the safe choice when competing against established players.

• AI Finance Hackathon: Put AI to Work in Your Finance Function

  This is an instructor-led, hands-on hackathon for CFOs and senior finance leaders. AI can already automate and improve a significant amount of work across the finance function. The challenge is knowing where it actually creates value, and how to implement it. In this session, we'll identify high-impact use cases, look at best practices, and then actually build them. Using tools like Claude Code, Lovable and the systems already in your finance stack, you'll build AI agents, workflows and automations that solve real finance bottlenecks, from reporting and forecasting to analysis, reconciliation and repetitive processes. Work individually or pair up with another finance leader, with experts in the room to help you build and troubleshoot. The goal is simple: leave with something that works. A workflow, agent or automation you can take back to your finance team and continue using or developing, plus practical examples of what other CFOs are building and where AI is delivering real value today. No coding experience required. Bring your laptop and a finance problem worth solving.

11.20

• AI agents or CSMs? What is better done by humans?

  Compare where CS teams are successfully using AI agents today, what they're keeping human, and why. Share real use cases and discuss how AI changes the role of the CSM, customer coverage and the economics of scaling CS.

• NRR doesn't grow by itself – What is your team actively doing to drive expansion?

  This table goes beyond measuring NRR and compares the actual plays CS teams are using to grow existing accounts. Share what's working across expansion, adoption, stakeholder engagement, upsell and cross-sell and what is actually moving the number.

14.00

• How do you quantify and prove the ROI you create for your customers?

  How do you make customer value measurable when your product doesn't directly generate € or $ revenue? Compare how other CS teams quantify and communicate ROI, from value reports and QBRs to hours saved, outcomes achieved and business cases that help champions justify the investment internally.

• Churn prevention: From red flag to re-engagement – What's your playbook for saving at-risk customers?

  Spotting an at-risk customer is the easy part. Compare the actual re-engagement, re-onboarding and intervention plays CS teams use when usage drops, champions leave or engagement disappears and what's actually working to bring customers back.