For years, Meta’s story with businesses was mostly ads and reach. On Sept. 28, 2026, founder and CEO Mark Zuckerberg announced something different: Meta Enterprise Platform — a new major pillar meant to help companies use AI to grow and run differently, not only to find customers.
What is confirmed is the ambition and the leadership. Zuckerberg said the platform will lean on strengths Meta already claims — advanced models, leading agents, large-scale infrastructure, and long work with many businesses — and will initially focus on bringing its full technology stack to businesses and developers. Named pieces include the Muse agent, Meta Business Agent, Muse API, Muse Code, “and more.” To run it, Chirantan “CJ” Desai joins as Chief Enterprise Platform Officer, reporting directly to Zuckerberg. Desai comes from MongoDB (CEO and President), with earlier product and engineering leadership at Cloudflare and nearly eight years at ServiceNow, including as President and COO.
Desai’s own statement frames the job as turning Meta’s AI stack into products and services companies can deploy for themselves, with security and privacy “built in from the outset,” and a goal of making Meta “the place enterprises come to scale their businesses.”
What stays opaque — at least from Meta’s newsroom post — is almost everything buyers usually ask next: pricing, which industries first, how Muse and Business Agent plug into existing company systems, customer names, SLAs, or how this competes with other enterprise AI suites. Those details are simply not in the announcement. A tight reading treats this as a strategic door opening and a serious hire, not a product brochure.
Why it matters
When big platforms decide who gets paid to put models into company workflows, the effects show up later as the tools your workplace adopts — support bots, coding helpers, marketing agents. Meta Enterprise Platform is Meta saying it wants a seat at that table. You may never buy it yourself; you may still work beside whatever ships under its name.
What’s next
Watch for real product surfaces: APIs that developers can actually call, Muse features pitched to IT buyers, and whether Desai’s enterprise network turns into named deployments. Until then, the confirmed story is simple — a new pillar, a stack Meta already has, and a veteran hired to sell the bridge from consumer-scale AI to company-scale work.
Sources: - Launching Meta Enterprise Platform (Meta Newsroom)