MuleSoft Blog

A developer using a personal Claude account to generate code against enterprise repositories may never think of themselves as deploying an intelligent system. But the moment that system begins taking action against enterprise assets, the coordination problem has already started. That is the real agentic problem. Not orchestration. Not interoperability. The rate of autonomous ...

Every enterprise AI initiative eventually runs into the same wall: the data feeding the models isn’t clean. Customer records are duplicated across Salesforce, SAP, and a dozen SaaS applications. Product hierarchies conflict between ERP and e-commerce. Supplier information drifts out of sync the moment it’s entered. Master Data Management solves the governance problem, but onl...

Relying on ‘Click-Ops’ for platform management inevitably results in Architectural Drift. When environments, from Sandbox to Production, are configured by hand, they become divergent and impossible to replicate. This lack of standardization triggers systemic failures: Unified lifecycle automation via Infrastructure-as-a-Code (IaC) Adopting the MuleSoft Terraform Provider shif...

The conversation around enterprise AI has shifted. A year ago, the question was whether to deploy agents or not. Now, it’s whether the infrastructure and governance underneath your  business can keep up with the pace of agentic adoption. Today, MuleSoft is launching Omni Gateway to address this need for unified governance and visibility that spans […]

AI-powered agents are quickly changing how enterprise integration is built – from designing APIs to automating complex system workflows. But as these agents move closer to production use, the key challenge is no longer whether they can produce results, but whether those results are consistently high-quality and reliable.  In enterprise environments, success is not define...