Serval is launching Catalyst, an AI agent designed to build enterprise automations, making it a default feature for customers. Catalyst acts as a "super agent" that analyzes existing data, identifies automation opportunities, and drafts necessary workflows and other components. It can also create background agents that proactively monitor systems for issues and propose solutions before tickets are filed. This launch occurs as enterprise service management vendors increasingly integrate AI for workflow creation, with competitors like ServiceNow, Atlassian, and Freshworks also offering similar capabilities.Serval differentiates Catalyst by framing it as a single administrative layer for the entire automation lifecycle, from discovery to proactive agent creation. The AI agent can analyze help desk data, convert standard operating procedures into executable systems, and build various automation components. Serval emphasizes a model-agnostic approach, allowing for swappable foundation models to best suit specific tasks. The company's core value proposition lies in the "harness" around these models, including enterprise context, memory, and governed controls.Catalyst aims to simplify automation by allowing users to describe the desired outcome, with the AI generating the implementation. Serval argues this approach compresses the traditional steps involved in creating automations, contrasting with the broader, multi-tool approach of competitors. A key feature is Serval’s background agents, which actively seek out and propose fixes for issues before human intervention is required. The company's philosophy centers on eliminating support requests by converting repetitive tasks into automated processes.Serval's governance model is crucial, ensuring that Catalyst inherits user permissions and operates within defined team workspaces. All generated automations are initially drafts, subject to review and approval before becoming active. Customer data ownership is emphasized, with Serval stating that customers retain rights to their data and that Serval does not use customer data for AI model training. Deployment options include cloud SaaS, on-premises, or within a customer's own VPC, offering flexibility and control over data location and processing. Early customer examples, like Ramp, suggest faster workflow building and broader adoption of automation across departments.