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Quick Summary
In this interactive discussion, our panel of SaaS leaders and AI experts discuss the challenges and opportunities of building AI features, and how to do it without the hefty budget or internal AI talent. They discuss practical strategies, tools to fast-track development, and inspiring stories from their first-hand experience.
Meet the panelists:
Haroen Vermylen, CTO and Founder at Luzmo
Jakub Sadowski, Product Manager at Surfer SEO
Timoté Geimer, CEO at Dualoop
Moderating the panel: Jonathan Wuurman, VP Growth at Luzmo
Main themes and insights
1. Should SaaS teams rush into AI?
Jakub: Companies once rushed AI features out of fear (FOMO), often with poor results. Today, it's more about thoughtful, value-driven implementation.
Haroen: Fear shouldn't drive decisions; AI is a means to enhance user value, not a checkbox.
Timoté: AI is transformative, but only valuable when it truly solves user problems. Don’t confuse excitement with impact.
2. Can you ship AI without an AI team?
Yes. Tools like OpenAI APIs, Lovable, Cursor, and Supabase make it easier.
Start with prototyping, then bring in engineering to make it production-ready.
Non-engineers can experiment and test ideas before involving dev teams.
3. Practical advice for product teams
Timoté's 3 key questions, inspired by Cycle’s CEO:
Would the product still be useful without AI?
Does AI make the core experience 10x better?
Could ChatGPT + a prompt solve this on its own?
Use customer support tickets to spot real user pain points AI could solve.
Focus on value, not the AI label.
4. Roadmap strategy
Keep 70–80% of the roadmap user-driven.
Allow room for "moonshot" tech-led ideas.
Empower engineers to explore AI applications.
5. Cost considerations
AI has token-based usage costs (input/output).
Build-in usage caps and monitoring to avoid cost overruns.
Small, meaningful AI tweaks can deliver big value without big budgets.
6. The future of product roles
PM, design, and engineering roles may shrink into tighter, AI-augmented teams.
AI can handle more of the grunt work; humans should stay in the loop for judgment and empathy.
7. Final Takeaways
Don’t build AI for the sake of it.
Start small, learn fast, and aim for real customer impact.
SaaS teams don’t need in-house AI teams to deliver valuable AI features.
Good decisions start with actionable insights.
Build your first embedded data product now. Talk to our product experts for a guided demo or get your hands dirty with a free 10-day trial.
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