Salesforce has expanded MuleSoft Agent Fabric in response to the rapid growth of AI agents across enterprises.
Designed as a control layer, this expansion will allow the CRM giant to tackle the “agent sprawl” problem in CX with targeted capabilities.
This strategy aims to provide enterprises with structured AI agent management to apply them safely and consistently across customer experience and operations.
Andrew Comstock, SVP & GM for MuleSoft at Salesforce, highlights that market competition will soon be determined by an enterprise’s ability to work with a mix of models, tools, and environments.
“The most successful organizations of the next decade will be those that harness the full diversity of the multicloud AI landscape,” he explained.
“The expanded capabilities of MuleSoft Agent Fabric give you the freedom to innovate across any platform while maintaining the unified visibility and control needed to scale.”
The Problems and Risks with Agent Sprawl
Salesforce has identified the rapid rise in autonomous AI agents across businesses and IT environments to tackle everyday tasks.
In fact, the number of actively deployed AI agents worldwide is expected to grow to more than 1 billion by 2029, a 40-fold increase from 2025.
This illustrates how quickly the deployment of AI agents can easily outpace an enterprise’s ability to track, govern, or integrate them without new tools and processes.
This growth rate exposes several challenges for the enterprises that choose to adopt AI agents.
Due to the rarity of AI agents being deployed for company-wide use, most agents are built on various clouds and tools, often controlled by individual teams to achieve targeted goals. This results in limited or no visibility on agent interactions, where they run, what they do, and what data they can access.
Defining this issue as “agent sprawl”, Salesforce highlights how a fragmented landscape of autonomous agents operating without centralized governance or coordination means reduced comprehensive discovery and management.
This means that many enterprises could struggle with redundant or overlapping agents, hidden deployments, and unclear responsibilities for security and compliance.
Tackling Agent Sprawl With Salesforce MuleSoft
By expanding MuleSoft Agent Fabric, Salesforce can now directly address agent sprawl by giving enterprises a central control plane for all AI agents and tools.
MuleSoft Agent Fabric was introduced into Salesforce in September, aiming to tackle agent sprawl in enterprise AI.
By integrating new capabilities, this latest expansion aims to replace the manual effort required for ensuring that agents remain visible to security and operations teams whilst establishing clear ownership, preventing the agent landscape from fragmenting.
This is done by creating a shared system of record for agents, automating discovery, standardizing metadata, and centralizing visibility.
This turns a growing, unmanaged set of agents into a known, accountable portfolio, with each agent having ownership, context, and a clear role within the enterprise.
Gain Oversight Without the Legwork
MuleSoft now includes Agent Scanner, which automatically detects new loan-processing agents across clouds and surfaces them in a single view, allowing customers to see which LLMs power them and which databases they can access.