The rapid expansion of AI is not only improving the way of working in many sectors, the proliferation of autonomous agents that operates without coordination or clear supervision is also increasing: from a chatbot that serves customers, to a system that reviews inventories or detects fraud, each tool solves a concrete problem. However, the lack of cohesion converts the promise of efficiency into a mosaic of unconnected workflows, with risks for safety, normative compliance and user experience.
In this scenario, Mulesoft Agent Fabric arises, Salesforce’s proposal to give a control frame to the next age of automation. The company raises this solution as a “control tower” capable of coordinating all scattered agents in an organization.
An intelligent network for AI agents
The idea is simple: transform autonomous agents into a safe, visible and governed network. MuleSoft Agent Fabric seeks that, instead of acting as disconnected islands, agents collaborate following the same safety rules, with processes orchestration and with traceability in each interaction.
The rapid expansion of AI is not only improving the way of working in many sectors, the proliferation of autonomous agents that operates without coordination or clear supervision is also increasing
“We are entering the Agentic Enterprises era, where humans and agents of AI will work side by side. But for that it works, solid bases of governance and trust are needed,” they point out from Salesforce.
The objective is that each company can advance in its strategy without fear of losing control. To do this, MuleSoft offers a unique point where to register, supervise and coordinate all agents, regardless of their origin or the language model that impulse them.
A practical example: from inventory to antifraude
An illustrative case is that of a global retailer. If an agent controls the stock, another manages the price update and a third monitor suspicious transactions, the usual thing is that they work without direct connection with each other. With MuleSoft Agent Fabric, each event triggers a coherent chain reaction: when lowering the inventory, prices are adjusted in real time and at the same time activates an anti -fraud control in operations. All under the same security policy and centralized supervision.
Explosive growth of AI agents
The figures anticipate a radical change in the way of working of companies. Recent studies point to a 327% growth in the adoption of AI agents in the next two years, with the forecast that 40% of business applications already integrate agents in 2026.
The problem is that each agent, separately, lacks global vision and cannot apply homogeneous security or collaboration policies between systems. Hence Salesforce Apueste for giving a unified layer of control and orchestration.
The four pieces of architecture
The solution consists of four blocks that structure the new model:
- Agent region: A central catalog to register any agent, avoid duplications and facilitate reuse in different workflows.
- Agent broker: The “intelligent router” that organizes agents and distributes tasks based on the business domain and the AI model selected by the company.
- Agent governance: The module that applies the security, compliance and data control policies in each interaction.
- Agent visualizer: A dynamic map that converts the black box of AI into an observable system, showing in real time how they connect and what decisions the agents make.
