The Meta Enterprise Platform has emerged as a significant new venture for Meta, introducing a suite of products designed to enhance business operations through artificial intelligence. This platform includes four distinct offerings: Muse, Meta Business Agent, Muse API, and Muse Code. Analysts have pointed out that Meta’s strongest advantage lies in its customer messaging capabilities, leveraging its ownership of popular communication channels such as WhatsApp, Instagram, and Messenger—assets that competitors like Microsoft, Salesforce, and Google do not possess. The Meta Business Agent is positioned as the initial pilot product, evaluated based on its cost per completed task.
On September 28, Meta unveiled the Meta Enterprise Platform, marking both a new product line and a dedicated business unit aimed at providing AI agents and developer tools to enterprises. Leading this initiative is CJ Desai, the former CEO of MongoDB, who now serves as the chief enterprise platform officer and reports directly to Mark Zuckerberg. Desai’s leadership is seen as pivotal, with Zuckerberg describing the platform as “the next major pillar” of Meta’s business strategy.
In a recent feature by TechTarget, analysts were asked whether Chief Information Officers (CIOs) should invest in this new platform. The consensus suggests a more focused evaluation is necessary, particularly regarding the agent integrated within the chat interfaces where customers already engage. This insight narrows the target audience to those responsible for customer service and commerce technology in organizations that handle substantial customer interactions via Meta’s applications. For others, Meta may simply represent another vendor in a crowded marketplace that includes Microsoft, Amazon, Google, OpenAI, Anthropic, and Salesforce.
Four products, four different ages
The Meta Enterprise Platform is anchored by four key products, each with its own timeline and functionality:
- Muse: Launched in the U.S. on September 8, this personal AI agent assists users by managing tasks such as booking travel, sending emails, and filling out forms in a browser.
- Meta Business Agent: The oldest component of the platform, operational since June within WhatsApp, Instagram, and Messenger, automating customer interactions and supporting sales. An enterprise edition has been announced, integrating with systems like Shopify and Zendesk.
- Muse API: This offering provides organizations with programmatic access to Meta’s AI models for integration within their own applications.
- Muse Code: Released in beta on August 5, this developer tool aids in planning, debugging, and writing code, tailored for complex software workflows across extensive codebases.
The timing of these releases is significant. The Business Agent had already been operational for about three months before the platform was formally introduced, while Muse was made available to consumers just weeks prior to the enterprise announcement. This context underscores why the Business Agent is the logical starting point for pilot programs, given its established presence in the channels where Meta’s strengths are most pronounced.
The Muse platform also signifies a strategic pivot for Meta. While its previous Llama models were open source, Muse represents proprietary technology aimed at competing with industry leaders like OpenAI and Anthropic. The development of Muse traces back to the Meta Superintelligence Lab, founded in 2025, with its first model, Muse Spark, debuting in April 2026. This model boasts advanced features such as multimodal inputs and the ability to deploy sub-agents for complex tasks, positioning it as a robust option for business leaders and marketers.
The edge lives in the chat window
Rob Smith, founder of Lionfish Tech Advisors, emphasizes that the real question for potential buyers is not whether to replace existing solutions like Copilot or Agentforce, but rather whether Meta should manage the agent that interacts with customers on its platforms. “Meta owns the chat window where the customer actually shows up,” he stated. This sentiment is echoed by Rick Watts of Quandary Peak Research, who notes that companies already utilizing WhatsApp or Instagram for customer interactions benefit from Meta’s unique channel access, a distinct advantage over competitors.
Tom Cloud, founder of Vertex CIO Advisory, succinctly highlighted that Meta’s ownership of WhatsApp, Messenger, and Instagram positions it favorably in customer service, sales, and support scenarios. Analysts have identified retail, hospitality, and consumer services as sectors where Meta’s offerings could excel, particularly in regions where WhatsApp is the default messaging platform. Kate Winick, a principal analyst at Forrester, pointed out that while trust in Meta’s data handling is a separate issue, many businesses already engage with Meta through its advertising services.
What IT still needs to see
However, the advantages of Meta’s channel access only address part of the equation. Brad LaPorte from Lionfish noted that Meta lacks foundational business systems, with critical documents managed by Microsoft and customer records held by Salesforce. This raises concerns about Meta’s enterprise credibility and the trust required for adoption. Rebecca Wettemann, CEO of Valoir, emphasized that Meta starts from a position of disadvantage, needing to establish a solid enterprise sales framework to gain CIOs’ confidence.
Product continuity is another crucial factor for potential buyers. The discontinuation of previous Meta products, such as Workplace and Horizon Workrooms, raises questions about the company’s commitment to its enterprise offerings. Analysts suggest that companies will seek assurances that Meta will continue to invest in the platform, especially given its history of shifting strategies.
Meta’s last two enterprise exits
- Workplace: Launched in 2016 and discontinued in May 2026, despite having millions of users.
- Horizon Workrooms: Offered with Quest headsets before its retirement in February 2026.
The closure of these products indicates that Meta’s strategy may prioritize vision over user adoption. Desai’s direct reporting line to Zuckerberg suggests that this new unit is intended to carry significant weight within the company. Zuckerberg has expressed confidence in Desai’s experience in building comprehensive software solutions, which could bolster the enterprise business.
Concerns about data governance also loom large for marketing-focused businesses. Jeremy Schulkin from Hawke Media raised the issue of Meta potentially favoring its own advertising solutions over competitors, while Diego Lomanto, CMO of Writer, called for clear boundaries between Meta’s advertising business and its enterprise platform. For governance teams, this necessitates careful consideration of data architecture and contractual agreements regarding data access.
Score it on one workflow, priced per task
In evaluating Meta’s offerings, experts recommend a methodical approach. Jim Piazza, chief AI officer at Ensono, suggests that organizations should test competing platforms using the same workflows and success criteria, focusing on the cost of successfully completed tasks rather than operational expenses. This perspective emphasizes the importance of reliable performance within enterprise settings.
Price could be a strong point for Meta, as its extensive computing resources may allow for competitive pricing strategies. A cost-per-completed-task evaluation could reveal whether Meta’s pricing remains advantageous when integrated into existing systems. However, companies whose customer interactions primarily occur through their own applications may find limited value in Meta’s offerings, as they would be competing solely on the strength of their models and agents against established players like Microsoft, Google, Amazon, and Salesforce.
Competition is also intensifying, with OpenAI launching its Dots product just a day after the Meta Enterprise Platform announcement. This new entrant aims to provide AI systems that operate continuously across applications, further raising the stakes for CIOs. As the landscape evolves, the presence of multiple vendors may offer organizations greater negotiating power and compel all players to meet higher standards.
Initial feedback from marketing professionals indicates that Meta’s model context protocol server, which connects AI agents to advertising tools, has shown promise. Jack Johnston from Tinuiti noted that the agentic campaign manager in Muse for Small Business has been beneficial for smaller enterprises unfamiliar with Meta’s advertising ecosystem. The integration of tools like Box, Figma, and Shopify within Muse for Small Business suggests that commerce is a central theme for Meta, bridging its offerings across different market segments.
As enterprises begin to implement these tools, the performance of connectors like Shopify and Zendesk will be critical in determining whether the Business Agent can effectively manage customer conversations through to order fulfillment or ticket resolution.
