In Practice

A detailed program for executive leaders in high-stakes industries, moving from understanding the critical risks in AI deployment to implementing auditable, real-time safety mechanisms and achieving regulatory compliance. Introduction AI adoption is no longer optional—but blind deployment is a risk most organizations can’t afford. The Trustworthy CTO  is a five-part podcast series for executive and technical leaders navigating the safety, compliance, and architectural challen

AI is moving fast—but safety isn’t keeping up. This opening episode dives into the real gap between what AI agents can do and what they should be allowed to do. We walk through the current state of AI safety, highlight the failures exposed in the 2025 AI Safety Index, and lay out why real-time ethical reasoning must become a first-class system function—not an afterthought.

Laws are catching up—and they’re targeting real-time compliance. In this episode, we break down the regulatory wave driving the AI safety mandate, starting with California’s SB-53. This is the first law to require developers to disclose how their AI systems detect risk as it happens—not just after something goes wrong.

Safety can’t be layered on top—it has to run through the core. In this episode, we introduce the Inhibitor: a real-time, interruptible safety engine designed to evaluate an agent’s reasoning as it happens. It’s not a content filter. It’s a conscience—built to stop bad decisions before they’re made.

Different use cases demand different kinds of trust. In this episode, we break down how the Inhibitor operates under real-world pressure—balancing performance with precision. Whether you’re building fast-moving agents or audit-focused systems, safety isn’t one-size-fits-all. The Inhibitor was built to flex.

In our final episode, we lay out a step-by-step path for building agent systems that are not just functional—but safe, auditable, and ready for deployment. This isn’t a research project. It’s a development plan.