​AI is changing how engineering teams work - but adoption is rarely smooth.

​The hype promises speed, automation, and breakthroughs. The reality? Resistance, skill gaps, over-automation risks, and products that don’t scale beyond flashy demos.

​In this session, we  unpack the real-world journey of AI adoption inside engineering teams:

• ​ AI Adoption & Team Transformation

​What “AI transformation” really means for engineering teams. The challenges of integrating AI into workflows, the pitfalls of over-automation, and how to navigate resistance from senior engineers while supporting juniors who are just starting out. We’ll share our own story: what triggered adoption, the resistance we faced, and the limitations we had to overcome.

• ​What Comes After the MVP

​ The hidden costs of quick wins: technical debt, scalability hurdles, compliance blind spots. Why the MVP is just the starting line, not the finish line - and how to prepare for long-term success from day one.

​And also a bit of exclusive: How transformation leads to product and how to stay ahead in a fast-changing AI world 😉

​Of course, live Q&A with questions from our audience and attendees is included!

​Hosts:

• ​Bohdan Krasiuk – Head of Engineering
  Driving Honeycomb  Software’s AI transformation, Bohdan shares the inside view on challenges, resistance, and lessons learned from leading engineering adoption.
  

• ​Tetiana Krechyk – VP of Partnerships
  Bringing the ecosystem perspective - and all the spicy questions you’d want answered - straight to the table.

​💡 Why listen?

​It’s about the real conditions that make or break AI adoption in engineering teams. If you’re a CTO, engineering leader, or product owner, you’ll walk away with:

​👉 Lessons learned from real-world adoption (not just theory)
👉 A clear-eyed view of MVP hype vs. long-term success
👉 A playbook for building AI-ready engineering teams

​We’ve walked the path - now we help others navigate it.