Last week was all about Xymphony evolving into a modular suite. This week, I want to focus on a problem that becomes clear once AI moves beyond a demo.
Building an agent is getting easier. But who decides which models it can use? What data it can send? How much it can spend? What happens when a provider fails? And how do we know why it made a particular decision?
These questions are often handled separately by each team. That works for a few experiments. It becomes difficult when agents and AI-enabled applications begin to spread across the enterprise.
This is why we are building Xymphony Conductor.
Conductor sits between enterprise applications, agents and workflows and the models they use. It provides one place to apply access rules, guardrails, routing, budgets and data controls. It also records what happened so teams can monitor usage, investigate problems and understand cost. The goal is not to add another approval layer. It is to make the approved way of using AI the easiest way.
Teams should still be able to choose the models and tools that fit their work. But the organization should not lose visibility or control each time they do.
That is the role we see for Conductor: a common control plane for enterprise AI.
More about why AI governance has to operate at runtime—not only during a review before deployment: https://smartims.com/blog/ai-governance-cannot-stop-at-approval/
Next week, I’ll continue the Xymphony evolution as we head toward ITC Vegas 2026.