Logan Kelly never set out to build an AI governance solution. Waxell spun out of CallSine, an AI-native sales engagement platform, when the team realized that agents that could act on their own produced a cascade of problems: burning through tokens, accessing databases, creating data-quality issues, and generally doing things no one had explicitly approved. Unable to find existing tooling that addressed the problems effectively, the team built a control plane for agents, which became the foundation of Waxell.
In this episode in our series on governing AI agents, CEO Logan Kelly emphasizes that governance should be legible to finance, legal, and compliance teams, not just developers. As he explains, agent governance is less about exotic AI risks than about visibility and control over things companies already care about, such as cost, data access, and who's allowed to do what. Kelly makes the case that the worst outcome isn't an agent misbehaving but companies losing trust in agents altogether and missing their value—arguing that every major technology, from cloud computing onward, arrived with new risks that good governance ultimately made manageable. Looking ahead, he bets that flexible, general-purpose governance will win out over locked-in "walled garden" platforms, as the pace of change in AI keeps accelerating..
Logan Kelly is the Co-Founder and CEO of Waxell, an AI governance and agent observability company that provides a control plane for operating autonomous AI agents in production. The company entered public beta in early 2026.
Podden och tillhörande omslagsbild på den här sidan tillhör
Kevin Werbach. Innehållet i podden är skapat av Kevin Werbach och inte av,
eller tillsammans med, Poddtoppen.
