Meta Enters a New Phase of Enterprise Artificial Intelligence
Meta is expanding its artificial intelligence business beyond consumer-facing products with the launch of a new Meta Enterprise Platform, a dedicated business focused on bringing the company's AI technology to companies and developers.
The announcement was made on September 28, 2026, as Meta said the new platform will become another major part of its business. The company plans to offer its AI models, agents, developer tools and related technology to organizations looking to use artificial intelligence in their operations.
Meta has appointed Chirantan “CJ” Desai, who stepped down as president and CEO of MongoDB, as Chief Enterprise Platform Officer. Desai will report directly to Meta founder and CEO Mark Zuckerberg.
What Is Meta Enterprise Platform?
Meta Enterprise Platform is designed to turn Meta's growing AI technology into products and services that businesses can deploy.
The initial technology portfolio includes the company's Muse AI agent, Meta Business Agent, Muse API and Muse Code, along with additional AI and developer technologies.
Meta says the platform will allow businesses and developers to use its AI stack to grow their operations, improve customer interactions and transform business workflows.
CJ Desai Takes Charge of Meta's Enterprise AI Push
The appointment of CJ Desai is one of the most significant parts of the announcement.
Desai previously served as president and CEO of MongoDB. Before joining MongoDB, he held senior leadership positions at Cloudflare and ServiceNow and has more than 25 years of experience across cloud infrastructure, enterprise software, cybersecurity and AI-related technology.
MongoDB confirmed on September 28 that Desai had stepped down from his position with immediate effect to take a senior role at Meta. Dev Ittycheria has been appointed interim president and CEO of MongoDB.
Why Meta Is Targeting Businesses
Artificial intelligence is increasingly becoming part of business operations.
Companies are using AI for customer service, software development, marketing, data analysis, internal communications and automation.
Meta already operates some of the world's largest consumer platforms and works with hundreds of millions of businesses through its advertising and business ecosystem.
The new enterprise division gives Meta a dedicated way to offer AI products directly to corporate customers instead of limiting its AI technology primarily to consumer applications.
Muse AI Could Become a Key Enterprise Product
One of the technologies Meta is bringing into its enterprise strategy is Muse.
Muse is designed as an AI assistant capable of performing tasks rather than simply responding to questions. Meta's consumer AI strategy has increasingly focused on agents that can interact with services and complete multi-step activities.
Under the new enterprise platform, similar technology can be adapted for businesses and developers.
This could allow companies to build AI-powered systems that interact with customers, assist employees or automate parts of business operations.
Meta Business Agent Targets Customer Interactions
Another important component of the new platform is the Meta Business Agent.
Businesses increasingly communicate with customers through digital platforms, messaging applications and online services.
AI agents could potentially answer customer questions, provide product information and help users complete certain activities without requiring a human employee to handle every interaction.
Meta's existing relationship with businesses across its social platforms provides a significant environment for testing and deploying these types of AI tools.
Developers Will Also Get New AI Tools
Meta is not limiting its enterprise strategy to finished AI assistants.
The company is also introducing tools aimed at developers, including the Muse API and Muse Code.
APIs can allow developers to integrate AI capabilities into their own applications, while AI coding tools can assist software teams with development tasks.
This means Meta's enterprise strategy could extend across multiple layers of business technology, from customer-facing applications to internal software development.
AI Agents Are Changing Enterprise Software
The development comes at a time when the technology industry is moving from traditional AI chatbots toward AI agents.
A chatbot generally provides information in response to a user's request. An AI agent is designed to take actions and complete multiple steps toward a particular objective.
For businesses, this distinction could become important.
An enterprise AI agent could potentially search internal information, prepare reports, interact with software systems or assist employees with repetitive workflows.
However, businesses also need strong security, permissions and monitoring because enterprise AI systems may have access to sensitive information and operational systems.
Security and Privacy Remain Important
Meta says security and privacy are being built into its enterprise AI products from the beginning.
This is particularly important for corporate customers because enterprise systems can contain confidential business information, customer records and proprietary data.
Companies adopting AI agents also need controls that determine what an AI system can access and which actions it can perform.
The success of enterprise AI will therefore depend not only on how capable the technology becomes, but also on how organizations manage permissions, security and human oversight.
Meta's AI Strategy Is Expanding
Meta has invested heavily in artificial intelligence infrastructure, models and AI assistants.
The company has also been developing AI technologies across its major consumer platforms.
The creation of Meta Enterprise Platform represents a move toward monetizing that technology through direct business services.
Meta says it already has extensive experience working with businesses and advertisers at global scale, and the company intends to use that existing ecosystem as part of its enterprise strategy.
MongoDB Also Has a Strong AI Connection
CJ Desai's move to Meta comes after MongoDB itself had been investing heavily in enterprise AI technology.
MongoDB has developed database capabilities designed to support AI applications, including vector search, embeddings and agent memory.
The company has increasingly positioned its database technology as infrastructure for businesses building AI-powered applications.
That background gives Desai extensive experience with the challenges companies face when deploying AI technology at scale.
The Enterprise AI Market Is Becoming More Competitive
Meta is entering an increasingly competitive enterprise AI market.
Major technology companies and specialized AI firms are developing models, agents, coding assistants and enterprise platforms for corporate customers.
Businesses now have more choices when deciding which AI systems to integrate into their operations.
Meta's advantage is its combination of large-scale infrastructure, AI models, consumer platforms and an established global business ecosystem.
What Comes Next for Meta Enterprise Platform?
The immediate focus will be turning Meta's existing AI technology into products that companies can deploy reliably.
Pricing, availability and the exact rollout structure for different enterprise services will become important details as the platform develops.
Meta will also need to demonstrate how its AI tools perform in real business environments where reliability, security and data protection are critical.
CJ Desai's new role suggests that Meta is treating enterprise AI as a major business opportunity rather than a small extension of its existing consumer AI products.
A New Business Chapter for Meta
The launch of Meta Enterprise Platform marks a significant expansion of Meta's artificial intelligence strategy.
The company is now moving toward selling AI models, agents and developer technologies directly to businesses, while bringing an experienced enterprise technology executive into the organization to lead the effort.
As AI continues moving from experimental technology into everyday business operations, enterprise platforms could become an increasingly important part of the technology industry.
Meta's new division will now compete for a share of that market, with its AI agents, models and developer tools at the center of the strategy.
The coming months will show how quickly businesses adopt Meta's enterprise AI products and how the company's new platform develops under CJ Desai's leadership.
Journalist: Vijay Singh