On September 28, 2026, Meta announced the Meta Enterprise Platform, a new business unit meant to turn its AI models, agents and infrastructure into products that companies can deploy themselves. A day later it followed with Muse for Small Business, a version of its Muse agent wired into the software small firms already use. Together they are Meta's clearest move yet from consumer AI into enterprise AI.
What the Meta Enterprise Platform includes
Per PYMNTS, the unit will initially include "the Muse agent, Meta Business Agent, Muse API, Muse Code, and more," according to a statement from Mark Zuckerberg. He cited "advanced models, leading agents, large-scale infrastructure, and years of working closely with many businesses" as Meta's advantages, and called the unit the "next major pillar" of the company's business, as reported by CNBC.
Meta also hired Chirantan "CJ" Desai, the former CEO of MongoDB, as chief enterprise platform officer. He reports to Zuckerberg. PYMNTS notes that Desai previously held roles at Cloudflare and ServiceNow, experience that maps to selling infrastructure and developer products rather than advertising.
Muse for Small Business: connectors and pricing
TechCrunch reports that Muse for Small Business integrates with more than 15 tools, including Shopify, Stripe, Intuit QuickBooks, Slack, Asana, Notion, Zoom, Figma, Canva, Dropbox and Box. It can also connect to Instagram analytics, Facebook pages and Meta ad accounts, giving the agent context on a business's sales, operations and marketing. The product launches with a free tier with usage limits, and paid subscription plans for heavier use.
Meta
SalesforceWhy a consumer-ads company is moving into enterprise AI
Meta depends on digital advertising for almost all of its revenue, and it has spent heavily on AI talent, including Scale AI founder Alexandr Wang, who leads its AI efforts. A model business built only on ads has to be justified by ad performance. An enterprise platform gives the same models and infrastructure a second way to earn revenue, through subscriptions and API usage.
There is also a distribution argument. As CIO frames it, Meta's differentiator is less about superior technology, since rivals such as Microsoft, Google and Salesforce offer comparable AI capabilities. It is that Meta owns customer-facing platforms, including WhatsApp, Instagram and Messenger, where an agent can join advertising, discovery, messaging and commerce.
Microsoft
GoogleHow it compares with Microsoft, Salesforce, Google and OpenAI
Microsoft and Salesforce sell into existing systems of record such as productivity suites and CRMs, while Google and OpenAI sell model access and agents to developers and companies. Meta's angle differs: its agent starts from the marketing and customer-messaging side, and Muse for Small Business reaches into the ad accounts and professional profiles that small firms already manage on Meta. The trade-off is that incumbents have longer enterprise sales histories and established compliance programs.
OpenAIThey told us they're short on hours, not ideas.
Meta on small business owners, as reported by TechCrunch
The trust and data-governance hurdle
The same CIO piece quotes analysts who see trust as Meta's biggest obstacle. Armaan Sandhu says Meta tends to abandon enterprise products when its vision changes, and the article points to Workplace, which ran from 2016 to 2026, and Horizon Workrooms, retired in February 2026. Carmi Levy cites the company's "somewhat checkered" record on data stewardship, including the Cambridge Analytica scandal. CIO's practical advice is to start with narrowly scoped applications and weigh pricing, integrations and technical features before wider deployment.
What deploy-it-yourself plus connectors means for small businesses
For a small firm the appeal is speed: connect accounting, chat, design and ad tools once, then ask one agent to work across them, at no cost to start. The questions are the ones any connector-based agent raises. Which data leaves each tool, what the agent may change without approval, whether ad-account data is used for anything beyond the task, and how easily the workflow moves if the vendor changes course. Workspaces built around agents that can run on more than one model provider, as on Metir, reduce that last risk because the workflow does not depend on a single vendor's roadmap.
Bottom line
The Meta Enterprise Platform is a bet that Meta's models, agents and messaging reach can earn revenue beyond ads. Whether enterprises adopt it will likely depend less on capability and more on proof of long-term commitment and clear data governance.
Sources:
- CNBC: Meta launches Muse for Small Business as Zuckerberg pushes enterprise AI
- TechCrunch: Meta is expanding its AI agent Muse to small businesses
- PYMNTS: Meta launches platform aimed at attracting enterprise customers
- CIO: Meta's next big AI bet is enterprise, its biggest hurdle may be trust
- Axios: Meta takes fresh aim at businesses with Muse tools, enterprise launch
- TechRepublic: Meta enterprise AI platform, Microsoft and Salesforce
Image credits
Header image: Meta sign at 1 Hacker Way, by LPS.1 via Wikimedia Commons, released under CC0. In-body image: aerial view of the Facebook campus in Menlo Park, September 2019, by Pi.1415926535 via Wikimedia Commons, licensed under CC BY-SA 3.0. Both images are illustrative and do not depict the Meta Enterprise Platform.