MuleSoft Blog

I started thinking about some of the challenges adopting AI agents at scale in a new way. Whenever a problem feels impossibly complex, I’ve learned to look at it from another angle. This time, the thought that popped into my head honestly made me laugh because it hit me that what we’re trying to do […]

For Salesforce admins and integration developers, keeping data aligned across systems often turns into a manual translation exercise. For example, a Salesforce case status P1 may need to map to a Jira ticket status Critical. Traditionally, this logic is handled through hardcoded if/else formulas scattered across flows and integrations. Over time, this creates formula debt, […...

Every enterprise IT leader we talk to has the same uneasy feeling: they know their developers are building AI agents, but they don’t know where, how many, or what those agents can actually do. It’s happening right now in your organization. New shadow IT is here, and the stakes are higher A decade ago, shadow […]

In recent conversations with IT and platform leaders, there’s a shift in the primary tension surrounding AI spend. Organizations have realized they can’t “sit out” on agentic spend, yet find themselves in a position similar to John Wanamaker’s marketing dilemma: half their token spend is likely wasted – they just don’t know which half.  The […]

Developers aren’t only working on platform consoles anymore. They’re building in Claude Desktop, Windsurf, Cursor, VS Code, and other AI-assisted tools. Platform teams are troubleshooting in Slack. AI agents are starting to call APIs, use MCP servers, and interact with enterprise systems directly. Headless MuleSoft is built for that reality. We are now giving developers, […]<...