Meta's Muse arrives in the enterprise: what the AI agent can do
Meta extends Muses to the business world: the new AI agent can connect to the tools used by companies, perform tasks via the web and prepare actions that require user approval before being executed.
Muse is no longer just an experiment aimed at private users.
After the launch of the’September 8, 2026, Meta announced at the end of the month Muse for Small Business and the new one Meta Enterprise Platform, bringing their AI agent towards more direct use in business processes.
The difference compared to a traditional chatbot is substantial. Muse doesn't just produce a response: it can use a dedicated browser, connect to external services, and perform multi-step tasks.
For an SME the issue therefore becomes less theoretical: not only what to ask the AI, but what operations to authorize it to carry out.
What is Muse di Meta and how does it work?
Meta defines Muse as a personal AI agent, that is, an agent capable of operating on behalf of the user through connected applications and services.
Muse works inside Muse Secure VM, a dedicated virtual machine with its own browser. In this environment, you can browse the web, fill out forms, book services, manage tasks, and interact with authorized applications.
Interaction can take place via the Muse app or directly through WhatsApp.
The most important feature, however, is the action.
A chatbot can explain how to book a trip. Muse can even research alternatives, fill out the necessary steps, and prepare the booking.
It is precisely this shift from response to execution that makes AI agents different from the generative assistants used in recent years.
Muse for Small Business connects the tools already used by companies
The September 29, 2026, Meta introduced Muse for Small Business.
The stated goal is to enable small businesses to connect Muse to the services they already use on a daily basis.
Announced additions include:
- Shopify;
- Slack;
- Stripe;
- QuickBooks;
- Klaviyo;
- Canva;
- Figma;
- Dropbox;
- Notion;
- Zoom;
- Asana;
- Facebook and Instagram business accounts.
Meta also mentions Box, Granola, HighLevel and Lovable.
This greatly expands the possible scenarios.
An agent connected to multiple tools could, for example, collect information from different services, prepare documents, analyze activities, support customer management, or coordinate steps that are currently performed manually across multiple platforms.
Muse can take action, but sensitive operations require confirmation
When a system can perform real actions, the issue of control becomes central.
Meta states that Muse requires confirmation before sensitive operations such as send an email or make a purchase. The user can also decide which services to connect and what level of access to grant.
For example, in the case of email, it is possible to distinguish between read-only permission and the ability to send messages.
Muse also maintains a audit trail, that is, a register of the activities carried out and those planned to be carried out.
In the case of Muse for Small Business, Meta also states that nothing is posted, sent or spent without user approval.
These controls, however, do not eliminate the need to define clear business rules.
An AI agent makes poorly defined processes visible
“Manage this business” seems like a simple request until you try to describe what it really means.
A salesperson preparing a quote probably knows what prices to use, what conditions to check, which exceptions require authorization, and which promises should not be made.
Most of these rules may be unwritten.
As long as the work is done by the same person, the process continues to work because that person knows the context.
When part of the work is entrusted to an AI agent, that knowledge needs to become more explicit.
An ill-defined activity remains ill-defined even if it is performed very quickly.
Muse doesn't necessarily mean automating everything
The arrival of AI agents can easily lead to a search for tasks to delegate entirely.
For an SME, it may be more useful to start with limited processes.
An agent might select five alternatives based on pre-established criteria, prepare a draft, compare information from multiple tools, or organize data that will later be verified by a person.
The parameter to observe is not only how quickly the result arrives.
What matters most is how long the follow-up check takes.
If a task that used to take thirty minutes is completed in five but it takes another twenty-five to verify it, the process has changed little.
Meta also brings Muse to an enterprise platform
Evolution doesn't stop at small businesses.
The September 28, 2026, Meta announced the Meta Enterprise Platform, a new initiative dedicated to companies and developers.
Technologies listed include Muse, Meta Business Agent, Muse API is Muse Code.
The signal is clear: Meta is trying to transform Muse from a personal assistant into a component of a broader ecosystem of agentic tools also intended for organizations.
For companies, this means that the topic of AI agents is no longer just about experimental software separate from corporate systems, but platforms designed to connect directly to processes.
What this means for your business
Before introducing an AI agent it is useful to look at the tasks in which someone must perform today:
- continuously open more software;
- copy information from one system to another;
- repeat the same checks;
- prepare drafts always using the same rules;
- ask for approvals before completing a transaction.
These are the best processes to analyze.
The solution could be an AI agent, but also a simpler integration between existing tools or an already available automation.
The starting point should be the process, not the product.
DigiFe develops AI solutions for business analyzing the company's real flows and identifying where agents, automations, and integrations can reduce repetitive tasks while maintaining human control and oversight.
