AI is easy to demo. Building AI agents that enterprises can actually trust is the hard part. In regulated industries, success depends on more than just good answers. It requires secure authentication and integrations, auditability, and strong evals and guardrails that make AI usable in real production environments. In our latest piece, Tomer Yona, our Head of Solutions Engineering, shares how Notch is building AI agents in complex industries and what it takes to move from proof of concept to real deployment. 💡 We’re also hiring people who want to work on these challenges with us. Read more below. Careers page in comments.
A chatbot giving a wrong answer is annoying. An AI agent making a wrong decision in a regulated industry? That’s a completely different story. That’s why most “AI agents” you see today never make it to production in these environments. We’ve been working on this challenge at Notch, building agents that don’t just respond, but actually execute safely. I wrote a breakdown of what that really requires: https://lnkd.in/e2EhXWfR If you're into this space or want to work on it, we’re hiring across multiple teams!