Serval has released Catalyst, an AI agent that automates enterprise IT workflows by inspecting ticket history and procedures to identify recurring work, then building the automations needed.
Unlike competitors, Serval is also deploying background agents that continuously monitor connected systems for emerging problems and propose fixes before employees file tickets, potentially reducing ticket volume and resolution time.
What happened
Serval made Catalyst, its AI agent for enterprise automation, generally available on Thursday and enabled it by default for customers. Catalyst sits above Serval's service management platform as an admin-facing agent that inspects ticket history, procedures, and instructions to identify recurring work, then drafts the workflows, skills, forms, access policies, journeys and dashboards needed to automate it. Serval is also deploying background agents that continuously inspect connected systems for emerging problems and propose fixes before employees file tickets.
Why it matters
Enterprise service management vendors are converging on AI-assisted workflow creation. Serval's approach — proactive background agents that identify and fix issues before ticketing — stands apart from competitors like ServiceNow, whose Build Agent translates natural-language instructions into applications and flows. For IT teams, this means potential reduction in ticket volume and faster issue resolution without waiting for manual intervention.
What to watch
Serval has made Catalyst available and enabled by default starting Thursday, so existing customers can begin deploying the background agent automation immediately.
Ask the AI about this article →
Serval's release of Catalyst reflects a broader industry shift toward AI-assisted automation in enterprise service management. While vendors like ServiceNow have moved to natural-language workflow creation through tools like Build Agent, Serval's distinguishing feature is the deployment of background agents that work proactively rather than reactively. By continuously inspecting connected systems and proposing fixes before tickets are filed, Catalyst addresses a gap in traditional ticketing workflows — reducing operational friction by preventing problems from becoming support requests in the first place. This approach signals a maturation of enterprise AI beyond simply automating known tasks to anticipating and resolving issues independently.
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