Serval is an AI-native ITSM platform that integrates help desk, access management, and workflow automation through built-in AI agents. It targets modern IT teams seeking efficiency without overhauling existing systems. The platform supports natural language inputs for task automation and provides tools for request resolution, workflow creation, and operational insights.
Core components include three AI agents. The Requests Agent handles help desk tickets by querying knowledge bases and provisioning access. The Automation Agent generates workflows from descriptions, outputting code manageable via Git. The Insights Agent offers recommendations for process improvements and content updates.
Capabilities cover request resolution, workflow building, ticketing transformation, and access management. Workflow building uses natural language to automate tasks like onboarding. Ticketing features two-way sync with systems such as Jira and an AI Copilot for escalations. Access management includes policy creation, agentic provisioning via SCIM or APIs, and governance views.
Enterprise features ensure scalability and security. Deployment options span cloud, hybrid, and self-hosted. Team segregation provides isolated environments for departments. Governance controls API scopes and approvals. Compliance aligns with SOC 2, HIPAA, and GDPR, supported by SIEM-integrated logs. Security includes role-based access, encryption, and SAML/SCIM.
Competitors like ServiceNow offer broader suites but require more configuration. Jira Service Management excels in project tracking yet lags in AI automation speed. Serval’s pricing requires contact, generally scaling by users and features, competitive for mid-sized enterprises. Users appreciate quick resolutions and ease, though initial customization demands time. Test integrations with current tools before full adoption to verify fit.