We’re wrestling with governance requirements for any enterprise automation platform we pick. The compliance team wants policy-driven approvals and full audit trails, which I get. The ops team wants speed, which I also get.
One thing I’m reading about is autonomous AI teams that can supposedly enforce policy-driven workflows while maintaining auditability. But I’m skeptical about how that works in practice. Doesn’t adding policy enforcement just mean more intervention points?
I’m trying to understand: if I set up AI agents to handle workflow decisions autonomously, how do I ensure they’re following company policy without requiring manual review at every step? And how do you maintain an audit trail that compliance actually cares about?
Zapier’s governance is pretty basic from what I’ve seen. Make has some policy controls but they feel bolted on. I’m curious if there’s a platform where this actually feels integrated.
How are others handling the governance-versus-speed trade-off? Are autonomous AI teams legitimately faster while staying auditable, or is that more aspirational?