Meta is expanding into enterprise AI, opening a new route to revenue as it turns its models, agents and infrastructure into tools for businesses.

The company announced Meta Enterprise Platform on September 28, followed by new small-business capabilities for Muse the next day. Together, the launches extend its ambitions beyond helping advertisers reach customers.

A new business led by an enterprise veteran

In Meta’s announcement, Mark Zuckerberg called the platform the company’s “next major pillar.”

Its initial offering brings together:

  • Muse, its personal AI agent.
  • Meta Business Agent.
  • Muse API, for developers.
  • Muse Code.
  • Underlying AI models and infrastructure.

Chirantan “CJ” Desai, previously MongoDB’s CEO, will lead the division as chief enterprise platform officer, reporting directly to Zuckerberg. His experience also includes senior roles at Cloudflare and ServiceNow.

The appointment brings experience in selling and delivering business software, an important requirement for a company attempting to expand beyond its established advertising relationships.

Small businesses are the immediate target

Meta’s September 29 launch lets businesses connect Muse to services including Shopify, QuickBooks, Stripe, Canva, Slack and Notion, alongside Facebook and Instagram business accounts.

The proposed uses include analysing sales, reviewing expenses and preparing marketing campaigns. These are company-described capabilities, rather than independently established productivity gains.

Meta says publishing, sending messages and spending money require the user’s approval. It also offers subscriptions for users who need more than the free service provides.

The opportunity is to coordinate work across existing applications. A business could continue using its accounting and commerce software while increasingly interacting with those tools through Meta’s agent.

Related: Meta Wants to Do Your Shopping. Amazon Has Other Plans..

Another route to monetising AI

That potential role is the central argument in App Economy Insights’ October 2 analysis: Meta wants its agent to become the place businesses organise their work, even when other companies supply the software underneath.

The analysis identifies four possible revenue channels:

  1. Advertising, earning money from audience attention.
  2. Subscriptions, charging heavier users.
  3. Commerce, potentially earning from transactions.
  4. Business software, selling access to AI capabilities.

These are opportunities with different levels of maturity. Announcing an enterprise division does not establish that it will become a significant earnings contributor.

Winning business customers takes more than a capable model

Large organisations require security reviews, reliable integrations, implementation support and clear accountability when systems make mistakes. Existing relationships with advertisers provide access to customers, but do not automatically translate into trust with sensitive business operations.

For investors, the useful evidence will be paying customers, renewals and revenue earned relative to the cost of delivering the service.

Related: The AI Boom Is Increasingly Being Financed by Debt.

Meta has opened another path to earning money from AI. The test is whether businesses will pay it to handle work reliably, alongside the money they already spend on advertising.

Disclosure: This article does not represent investment advice. The content is for informational and educational purposes only.