Engineering for Trust in AI Systems

In the age of AI, uptime isn’t enough — *trust* has become the new metric.

Join Ravi Madabhushi, CTO of Scalekit , and Rahul Bhattacharya, CTO of Adopt AI, for a conversation on how engineering leaders are rethinking reliability, control, and proof in AI-driven systems.

What the Session Covers

• From Uptime to Proof of Trust — Why the question for AI systems isn’t “is it running?” but “do we trust what it just did?”
• Making Systems Trustworthy by Design — How modern teams discover, validate, and control actions across APIs and agents — even the undocumented ones.
• Proving Trust in Production — What it takes to verify who (or what) acted, why it was allowed, and how to trace decisions in real time.
• Operationalizing Trust — How leading teams turn trust into a measurable capability with live guardrails and feedback loops between engineering and security.

Why Attend

• Learn how today’s CTOs design trustworthy-by-default AI systems — from discovery to authorization.
• Hear real-world lessons on building control and proof into autonomous, agent-driven workflows.
• Understand why, in the AI era, trust isn’t just uptime — it’s the new interface between automation and accountability.