Meta Builds AI Sales Army, Courts Consultants to Sell Muse to Businesses

Meta is building a sales organization to hawk its AI products to small and midsize businesses, and it is lining up consulting firms and systems integrators to reach large companies, The Information reported on Monday. The plan has no public confirmation from Meta, and the article itself sits behind a paywall. But the outline is clear: after spending years selling ads, Meta now wants to sell software — and it is staffing up accordingly.

The report, according to its public summary, describes these moves as the next steps in Meta's plan to build a business selling AI to companies. That business already has a name, a launch date and a boss.

What did Meta actually launch?

On Sept. 28, Meta launched the Meta Enterprise Platform. The bundle groups four products: the Muse agent, Meta Business Agent, the Muse API and the Muse Code coding tool.

Running it is Chirantan "CJ" Desai, the former MongoDB CEO, who holds the title of chief enterprise platform officer and reports directly to Mark Zuckerberg. That reporting line matters. A direct line to the CEO signals how seriously Meta treats the enterprise push.

What Meta did not disclose at launch: pricing, or a single named enterprise customer.

A day later, on Sept. 29, Meta opened the Muse agent to small businesses. The terms are freemium — free with usage limits, with paid subscriptions for heavier use. The agent connects to Instagram analytics, Facebook pages and Meta ad accounts, plus outside tools such as Shopify, Stripe, Slack and QuickBooks.

Why sell beyond ads?

Most businesses Meta deals with today are advertisers. That's the whole commercial model — companies pay Meta to reach users, not to run their operations.

Large companies buy AI differently. They usually deploy it through consulting firms and systems integrators, which connect models to internal data and existing software. The Information's report, per its public summary, puts Meta on exactly that route for its biggest prospective customers.

The report did not name the partners. That gap leaves open whether Meta signs the global consultancies — the Deloittes and Accentures of the world — or smaller specialists. Either way, the channel choice mirrors how Microsoft, Google and Amazon already move AI into large accounts.

For small and midsize businesses, Meta is taking the direct route: its own sales team. The freemium Muse rollout, with its hooks into Shopify and QuickBooks, looks like the top of that funnel.

What's the competitive backdrop?

The enterprise AI market is crowded and getting more so. OpenAI, Anthropic and Google pitch chatbots and APIs to businesses of every size. Meta arrived late with a formal product — the Sept. 28 launch came years after ChatGPT opened the category — but it starts with assets rivals lack: millions of businesses already inside its ad ecosystem, and integrations into Instagram and Facebook that competitors must build from scratch.

There is also an internal wrinkle. The push comes days after Meta strategy chief Dave Wehner left to become CFO of Fireworks, an AI inference startup. Wehner, a long-time Meta executive and former CFO, departing for an infrastructure upstart underscores where talent and capital are flowing in the AI stack.

What happens next?

The open questions are concrete: pricing Meta never announced, customers it never named, and consulting partners The Information never identified. Until Meta names an integrator partner or discloses enterprise revenue, the enterprise platform remains a roadmap with a sales team forming around it — and the first pricing and customer disclosures will signal how hard Meta intends to push into a market where rivals already book billions.