Ship at AI Speed. Govern with Business Certainty.

Govern Agentic AI before it spirals out of control

Your agents are already reasoning across multiple turns, calling tools, and making decisions. The question is no longer "do they work?" but rather: "do you really know what they are doing, and at what cost?"

As adoption accelerates, so does the gap between how quickly a company deploys agents and its ability to govern them. Budgets drain faster than expected, behaviors become unpredictable, and the success KPI risks shifting from actual value created to the number of tokens burned. The root cause is frequently the surrounding infrastructure, or the complete lack of it.

We discussed this with Giulio Roggero, CTO and Co-Founder of Mia-Platform, to explore what it really takes to build production-ready agents. He breaks down everything from managing context to measuring whether your agents are genuinely driving value or simply driving up costs.

Key takeaways

• A fresh perspective on the relationship between reasoning and cost, moving beyond tokens burned as a metric.
• Concrete, reusable levers to reduce waste without slowing down development teams.
• A reliable framework to determine if an agentic workflow is genuinely improving session after session, eliminating guesswork.

If your team is already running agents in production (or is about to) this interview delivers the critical questions you need to ask before issues arise.