Multi-Agent Systems in the Wild: 5 Lessons from Real Production Environments

Most organizations are still asking whether AI agents work. The more important question is: what does it take to make them work reliably, at scale, and under real enterprise conditions?

At SESTdigital, we have moved past that first question. With multi-agent systems running in live production across manufacturing and enterprise environments, we have learned where agentic AI delivers – and where it quietly breaks. Where governance is missing. Where infrastructure becomes the bottleneck. And what it costs when nobody is watching.

This talk shares the hard-won lessons behind real deployments: the architectural decisions that made the difference, the failures that shaped our thinking, and the principles that turn a promising prototype into a system you can trust at scale. No slides full of potential. Just the reality of agentic AI – and what it takes to get it right.