AdminThe 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.