Serval: IT asset management software inside your ITSM
Manage Assets
Serval databases sync with your MDM, software management systems, HRIS, and IdP to track every IT asset. Serval AI links tickets to assets so you can proactively monitor asset health and lifecycle.
Centralized control over every asset
Live asset data from any source
Flexible schemas that support asset syncing from any system. Configure asset fields and build custom ingestion workflows that are unique to your organization’s needs.
Ingest data from
any system
Connect your MDM, procurement tools, IdP, HRIS, or any custom data source via API.
Fully customizable
asset schemas
Track hardware, software licenses, SaaS subscriptions, cloud costs, and enterprise assets. Define custom fields, statuses, and relationships that match your organization.
Intelligent multi-source asset mapping
Your MDM knows device specs. Your procurement system knows purchase dates. Rippling knows user assignments. Serval recommends which source should be your source of truth for each field—and uses unique identifiers to deduplicate across systems.
Maintain Complete Asset Context
in One Place
AI Automatically Links Tickets to Devices
When a request is submitted, Serval automatically create and assigns owners, sets progress status and priority levels and more.
Customizable asset relationship tracking
When a request is submitted, Serval automatically create and assigns owners, sets progress status and priority levels and more.
Changes get synced automatically
Update an asset’s status in Serval and it flows back to your source systems. Decommission a laptop, and Serval removes it from your MDM and updates your asset register.
Proactively Manage Device Health and End-of-Life
Complete Audit Trails
Export ownership history, lifecycle timelines, and usage data for compliance reviews. Track who had access to what hardware and when, with complete audit trails.
Predictive Insights
Identify devices approaching end-of-life based on support ticket frequency and device age. Surface devices with repeated issues before they fail completely.
Learn more with our docs
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