Bhaumik Lathiya

As teams give AI agents more autonomy, the risky moment isn't the agent saying something wrong it's the agent doing something wrong: sending a payment, deleting records, changing a customer's data. And when it happens, the log usually says "authorized." No breach, just automation doing exactly what it was allowed to do, faster than anyone could catch.

Most tools secure the conversation or catch problems after the fact in the audit log. But by then the action already happened.

So We built @Execlave runtime governance that checks every agent action against your policy before it executes, not after. We're a small bootstrapped team from Germany, live on PH today.

Curious what this community thinks: as agents get more autonomous, where should the line sit between letting them act and making them ask first?

Doing one of these because I get more from reading what others are building than from any newsletter.

I'll start.