Enterprise integration is getting harder. Applications are multiplying, APIs are evolving, and data is moving across cloud and on-premises environments. As complexity grows, integration teams are under increasing pressure to deliver faster while maintaining reliability, security, and governance. 

AI can change this equation – not simply by generating more code, but by bringing intelligence into the integration engineering lifecycle. With the right context, AI can help engineers understand requirements, plan changes, build integration flows, generate tests, and document solutions, reducing manual effort while enabling teams to focus on higher-value engineering decisions. 

But AI alone cannot solve integration complexity. Its real value comes from combining AI capabilities with integration expertise, enterprise context, engineering standards, and strong governance. The question here is no longer whether AI can transform integration, but how it can be applied effectively, responsibly, and at scale. 

To find the answer, join our industry experts for an insightful session on AI-enabled Integration Engineering with IBM BOB and webMethods Integration. Together, they will explore what AI can realistically automate across the integration lifecycle, where human judgment remains essential, and how organizations can build a faster, smarter, and more reliable approach to integration engineering.