What Meta Muse needs to do to succeed in The Enterprise.

Muse gives Meta a strong starting point. It is a persistent agent that can perform tasks across applications rather than simply answer questions. Its early popularity also gives Meta something most enterprise AI vendors lack: users who may already understand the product before encountering it at work.

But consumer adoption is not proof of enterprise readiness. Businesses need agents that can be provisioned, bounded, monitored, audited, supported, and stopped. Meta must explain how an enterprise agent receives its identity, which credentials it uses, and how its access changes when an employee changes roles or leaves. An agent should have its own identity and scoped permissions rather than quietly inheriting everything its user can access.

Those policies also need to follow the agent across applications. Recent friction with Amazon illustrates the problem. Amazon blocked Muse from transacting on its marketplace, citing unauthorized access and privacy concerns. Whatever the competitive motivations, the incident shows that an agent cannot assume it has permission to operate simply because a user wants it to. Enterprise agents need standard ways to identify themselves, request access, record actions, and have that access revoked.

🔗 Meta Enterprise Platform Needs More Than Muse