Meta has spent years helping businesses advertise on Facebook and Instagram and talk to customers through WhatsApp. Now it wants its AI working deeper inside those businesses.
The company launched Meta Enterprise Platform on Monday, a new business focused on turning its AI models, agents, coding tools, and infrastructure into products companies can deploy themselves.
CEO Mark Zuckerberg called the platform the “next major pillar” of Meta’s business. Its initial technology stack includes the Muse agent, Meta Business Agent, Muse API, and Muse Code.
The move puts Meta more directly into an enterprise AI market already crowded with Microsoft, Salesforce, Google, ServiceNow, and other vendors racing to make AI agents part of everyday business operations.
Meta is turning its AI stack into a business platform
Meta says it already helps hundreds of millions of businesses reach customers. Enterprise Platform is an attempt to expand that relationship beyond advertising and messaging.
Rather than introducing one standalone enterprise application, Meta plans to bring together several parts of its AI portfolio.
Muse is Meta’s general-purpose AI agent, capable of taking actions such as sending emails, booking travel, and completing other multistep tasks. TechRepublic previously reported that Muse launched in the U.S. this month across iOS, Android, the web, and WhatsApp.
Meta Business Agent is aimed more directly at companies. Meta says more than one million businesses already use a Business Agent on WhatsApp and Messenger to respond to customers.
The agent can answer questions, recommend products, book appointments, qualify leads, and close sales. Meta also says more than one billion active threads with businesses take place across WhatsApp, Messenger, and Instagram each day.
For larger organizations, Meta Business Agent Platform can connect with hundreds of systems, including Shopify, Zendesk, and Shopee. Meta says the platform includes enterprise controls, guardrails, and measurement tools that let companies define how their agents operate.
Meta has also outlined broader ambitions for Business Agent. The company says it eventually wants the technology to help with tasks such as market research, product insights, calendar management, and competitive intelligence.
Enterprise Platform now gives those efforts a dedicated business operation.
Meta hires an enterprise software veteran to lead the push
Meta recruited former MongoDB CEO Chirantan “CJ” Desai as chief enterprise platform officer. He will report directly to Zuckerberg.
Before leading MongoDB, Desai oversaw product and engineering at Cloudflare and spent nearly eight years at ServiceNow, including as president and chief operating officer.
“Meta Enterprise Platform will focus on turning its AI stack into products and services that companies can deploy for their own businesses,” Desai said in Meta’s announcement.
The hire gives Meta an executive with experience building and selling software to large organizations as it moves beyond its traditional advertising and consumer-platform businesses.
Microsoft and Salesforce have another AI competitor
Meta is entering a market where major enterprise software companies have already spent years embedding AI into existing business platforms.
Microsoft offers AI agents across Microsoft 365 Copilot and Dynamics 365, including agents capable of accessing organizational data and taking actions such as sending emails or updating records.
Salesforce has similarly expanded Agentforce across its CRM products, positioning autonomous agents around sales, service, marketing, and other customer workflows.
Meta starts from a different position. It does not have Microsoft’s productivity suite or Salesforce’s CRM footprint, but it does have massive consumer reach, business messaging platforms, AI models, agents, and large-scale infrastructure.
That could give Meta an opening through customer-facing operations before it pushes further into internal enterprise workflows.
The move could also provide another way for Meta to generate returns from its rapidly expanding AI infrastructure. According to Meta, the company currently expects 2026 capital expenditures of between $130 billion and $145 billion, with data center capacity among the drivers of that spending.
Zuckerberg has previously said Meta sees a broader enterprise opportunity that could include APIs, business agents, services for large customers, and potentially selling compute directly.
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Meta still has big enterprise questions to answer
For all the ambition behind the announcement, Meta Enterprise Platform is still more of an enterprise strategy than a clearly packaged software suite.
Meta has not disclosed overall platform pricing, named launch customers, or explained exactly how Muse, Business Agent, Muse API, and Muse Code will be packaged and administered together.
Those details will matter for IT leaders deciding whether Meta belongs alongside established enterprise vendors.
Organizations will need to understand how administrators control agent access, which actions require human approval, how activity is logged and audited, and how Meta’s products integrate with existing identity, security, and business systems.
Meta says security and privacy will be built into its enterprise products from the outset. Its existing Business Agent Platform already includes enterprise controls and guardrails, but Meta has not yet provided the same level of detail for the broader Enterprise Platform.
That leaves the biggest question unanswered: whether Meta can turn its enormous consumer reach and AI investment into an enterprise platform companies trust with core business operations.
For now, Meta is no longer content with helping businesses reach customers through its apps. It wants its AI agents doing some of the work behind them, too.
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