The AI ROI Gap: A Fireside Chat on API Governance for Engineering Leaders

AI coding assistants promise faster delivery and real ROI. But speed without governance is a trade, not a gain. When AI-generated code outpaces API lifecycle management, teams inherit broken contracts, inconsistent specs, and remediation costs that quietly erode returns. This fireside chat unpacks the fix: integrating AI platforms with governance tooling, so speed and control reinforce each other. 

In this fireside chat , Mark Boyd (Director, Platformable) shares market insights on where organizations are losing value at the AI/API governance intersection. Dariusz Stoklosa (Senior Director, Engineering, SmartBear) offers a practitioner account of integrating Swagger into an AI-assisted workflow and the measurable outcomes that followed. 

What You’ll Learn: 

• Why AI investment without governance underdelivers on ROI 
• How integrating Swagger with AI coding platforms accelerates your AI ROI 
• A proven model for adopting governance tooling in AI-accelerated teams 

Who Should Attend: 

This session is built for anyone accountable for the return on AI investment or the stability of API-driven systems: 

• Engineering leaders managing teams that have adopted/are evaluating AI coding assistants at scale 
• Product owners responsible for API quality and consumer-facing contract stability 
• Technology executives evaluating/reporting on ROI from AI tooling investments 
• Platform and API teams looking for a practical model to bring governance into an AI-accelerated workflow without becoming the bottleneck engineering routes around 

Whether you’re already deep into AI-assisted development or still building the business case for it, this session gives you an understanding for making API governance an accelerant to that investment.