29 January 2026 10:30 - 11:15
Panel discussion: Build vs buy? Designing an AI stack that actually works
As AI floods the RevTech landscape, RevOps teams are stuck between two paths: invest in building tailored, in-house AI capabilities or rely on offâtheâshelf platforms that promise âinstant intelligence.â This panel brings together RevOps leaders to unpack the trade-offs - cost, speed, control, and risk - and share real stories of what worked, what didnât, and what theyâd do differently.
Youâll learn how to:
- Evaluate when it makes sense to build custom AI (e.g., routing, scoring, forecasting) versus standardizing on vendor capabilities
- Weigh total cost of ownership: data infrastructure, engineering support, model maintenance, and vendor lock-in
- Create a practical decision framework that RevOps can use with product, data, and finance to choose the right AI approach for your revenue engine