The evolution of AI from basic chatbots to autonomous agents demands more than just building the agents themselves. The real complexity lies in designing a secure system that allows these agents to safely access data, adhere to established rules, and collaborate effectively.
MuleSoft addresses this challenge with MuleSoft Agent Fabrica solution that enables organizations to discover, orchestrate, govern, and observe any agent, AI asset, and agent workflow. Whether you’re new to AI or have been building agents for the past year, you can take advantage of Agent Fabric to reach the next stage of your agentic transformation journey.
5 stages of the agentic transformation journey
The five stages of the journey are:
- Building the foundation
- Activating APIs for AI
- Centralizing AI asset discovery
- Governing AI assets
- Orchestrating AI agents and tools
We’ll discuss each stage of the journey and how to identify which stage your organization is in. After all, knowing where you are on your journey helps you to reach your destination (ie agents, tools, and humans working together seamlessly to solve complex, multi-step business processes).
Stage 1. Build the foundation
Where you might be in your journey:
- Early stages of digital transformation
- Critical data locked in siloed legacy systems, leading to manual business processes
- You are starting to plan on how you can make your enterprise ready for AI agents
Start by unlocking your siloed systems with a secure, API-led architecture with MuleSoft’s integration, automation, and API management solutions. This will allow you to have a foundation to start creating a connected enterprise where you can access any system, legacy or modern.
Stage 2. Activate APIs
Where you might be in your journey:
- Already have APIs or integrations that you want to make available to AI agents or LLMs
- Want to take advantage of existing assets rather than building duplicative Model Context Protocol (MCP) servers
By turning your existing APIs and integrations into MCP-compatible assets, you empower agents to operate with real-time business context – increasing accuracy, reducing hallucinations, and unlocking entirely new levels of workflow automation
Stage 3. Centralize AI asset discovery
Where you might be in your journey:
- Various teams at your enterprise are building AI agents in a tech stack of their choosing
- You hear of other building agents and you want to learn more about them
Prevent agent sprawl by building a single registry with Agent Registry. This internal agents and tools marketplace allows every team to discover and reuse approved tools to ensure consistency across the enterprise.
Stage 4. Govern AI Assets
Where you might be in your journey:
- Starting to think about how you can govern and secure agents as the number of agents in production scales
- Don’t want to slow down the innovation of new agents but want to make sure that your enterprise and customer data is properly protected centrally
Enforce governance policies centrally with Agent Governance and Anypoint Flex Gateway. You can move from experimentation to production while ensuring sensitive data stays safe as innovation scales.
Stage 5. Orchestrate agents and tools
Where you might be in your journey:
- Ready to have your existing agents and tools communicate with each other to solve multi-step business processes
- Want the agents to work autonomously for mundane tasks that require minimal human intervention to free up your employee’s time for innovation and building customer relationships.
Use Agent Broker to orchestrate workflow tasks to the right agents and tools to complete a complex business process.
Start your agentic transformation journey today
With MuleSoft, the path to an agentic enterprise is now clear. Whether you are just beginning to unlock your data or you’re ready to orchestrate a full agent network, you can start exactly where you are today.
Launch the interactive demo below and choose an option on the journey map to get a step-by-step guide on how you can use MuleSoft to reach the next stage.
