Introducing Governance for Agent Interactions With Support for A2A & MCP

As organizations across the spectrum introduce agentic AI into their enterprise, they need new solutions for integrating these capabilities within their IT infrastructure. In order for AI agents to deliver great experiences, they need to communicate with your applications for business context, and with each other. The recently-launched Agent2Agent Protocol (A2A) and Model Context Protocol […]

HeavyJob and CMiC Integration: How MuleSoft Helps the E&C Industry

The global engineering and construction (E&C) industry is a massive, complex, and fragmented ecosystem with multiple layers across the value chain. Data can be a big challenge for organizations because it naturally lives everywhere. In the construction industry, managing project performance and costs efficiently is crucial for success. However, these disconnected systems often lead to […]

From Integration to Intelligence: Connecting Enterprise APIs to LLMs With MuleSoft and RAG

The future of AI isn’t about starting over – it’s about building on the integration work you’ve already done. Across industries, enterprises have modernized their ecosystems by exposing data from legacy systems through APIs. By leveraging MuleSoft’s API-led approach, you’ve connected legacy infrastructure with cloud platforms, third-party services, and modern applications. Now, those same APIs […]

How Integration Drives AI: Unlocking Intelligence Through Connected Systems

AI is only as smart as the data it can access. The more diverse and well-connected the data sources, the sharper AI becomes. Yet many organizations struggle with fragmented data trapped in disconnected systems. That’s where integration steps in, connecting the dots and transforming raw data into the fuel AI needs to generate real intelligence. […]

How to Create an API Strategy for Efficient and Flexible AI Adoption

The rapid advancement of AI presents an opportunity for organizations to innovate and gain a competitive edge. However, successfully implementing and scaling AI initiatives hinges on a robust and adaptable API strategy. Without a well-defined approach, you risk siloed data, integration challenges, and ultimately, slower AI adoption. In the race to adopt AI, many organizations […]

Build vs. Buy: Enterprise Integration and Innovation in the Era of AI Agents

Today’s organizations manage an overwhelming amount of applications – almost 900 on average. However, only 2% of IT leaders say their organizations have integrated more than half of their applications. This lack of integration is poised to make AI adoption a challenge to many, as AI agents need a fully integrated foundation to deliver their […]