AI Operations
A Startup Is Giving AI Agents the Keys to Run Entire Companies
Naïve packages identity, payments, infrastructure, governance, and human approvals into operational rails built for autonomous businesses.
The headline is an autonomous company, but the durable lesson is less glamorous: agents need verified identity, scoped money, explicit permissions, auditability, and human escalation. Autonomy becomes useful only when its operational rails are stronger than its ambition.
Naïve packages company formation, inboxes, phone numbers, virtual cards, databases, compute, storage, and connections such as Stripe and QuickBooks behind agent-friendly infrastructure. TechCrunch reports more than 30,000 developer customers and a $28.5 million Series A. People still complete KYC or KYB and required payments, so the autonomous company has not escaped paperwork entirely.
Naïve advertises hard spending caps, capability allow-and-deny rules, human approval for sensitive actions, isolated runtimes, audit logs, and mid-flight revocation. It also routes across models and preserves agent context. These controls turn a clever demo into something an operator can inspect, budget, and stop. Without them, autonomy is simply delegation without management.
Humans should own legal accountability, financial thresholds, hiring decisions, customer promises, exceptions, and disputed outcomes. Start with one bounded workflow and define service levels, cost limits, approval triggers, fallback owners, and shutdown conditions. Let agents handle repeatable coordination. Keep judgment where consequences are ambiguous, because an AI chief executive cannot yet attend the difficult client call for you.