Most enterprises are experimenting with AI agents. Almost none are running them in production at scale — and the gap between those two states is costing organizations dearly. Research shows 95% of enterprise GenAI pilots have produced no measurable ROI, not because the models are failing, but because organizations lack the operational structure to move agentic systems from experiment to production.
Join Solace CAISO Shawn McCallister as he introduces the Agent Development Lifecycle (ADLC): a six-stage framework for conceiving, building, deploying, governing, and continuously improving AI agents in the enterprise. Drawing on proven practices from software engineering, distributed systems design, and organizational management — and mirroring the lifecycle of a high-performing employee — the ADLC gives enterprise architects a coherent, repeatable, and scalable approach to agent development.
In this session, you’ll learn:
- Why agentic AI deployments fail, and what the successful minority does differently
- The six stages of the ADLC: Hiring, Onboarding, Coaching, Supervision, Teamwork, and Improvement
- How to evaluate agentic AI platforms against each stage of the lifecycle
- What production-grade agent governance actually looks like in practice
Whether you’re managing a handful of pilots or preparing to scale agents across your enterprise, this session will give you the framework to do it with confidence.
Presented by Shawn McAllister, Chief AI Strategy Officer, Solace
