Auto ITAM runs IT asset management and the configuration model end to end. AI Employees discover assets, keep the CMDB current from real change activity, manage software licenses, and drive the hardware lifecycle. IT stops reconciling spreadsheets and starts governing an asset graph that stays true.
Legacy ITAM tools give you a discovery scan and a database that drifts the moment the environment changes. Auto ITAM keeps the configuration model current and enforces asset policy continuously.
The difference is not a better inventory screen. It is a continuously maintained asset operation that sees change, reconciles truth and acts under policy.
Auto ITAM decomposes ITAM and the CMDB into the operating surfaces an IT estate actually runs, each executed by governed AI Employees against the same living configuration graph.
Assets, relationships, licenses and change history stay connected as the estate moves.
Each is an asset operation the Auto owns end to end, with humans on the loop for oversight and in the loop only on unauthorized change and audit sign-off.
Configuration items and relationships stay current from real change and discovery, ending manual upkeep.
Service maps are maintained so change impact and blast radius are known before a change runs.
Untracked and orphaned assets are detected and reconciled into the model as they appear.
True license position is computed continuously, surfacing true-up exposure and reclaimable seats.
SaaS subscriptions and usage are consolidated to end duplicate and unused spend.
A defensible entitlement-versus-deployment position is produced on demand for vendor audits.
Procurement, refresh and secure disposal run end to end under policy across the estate.
Idle and over-provisioned assets are identified with a reclaim or rightsizing recommendation.
Every cycle runs through the four parts of an Auto. Auto Policies set the boundary, AI Employees act, humans resolve exceptions in the Auto Workbench, and each resolution deepens the Auto Graph. The operation compounds with every cycle.
Multi-agentic asset workers discover, map, reconcile and manage the estate across cloud, endpoint and network systems, escalating only unauthorized change and audit sign-off.
Asset, license and lifecycle rules are authored in plain language and enforced deterministically before a change or disposal executes.
Reconciliation and drift exceptions arrive with evidence and the applied policy. The reviewer decides once; the resolution trains the next cycle.
Assets, configuration items, relationships, licenses and change history become a living per-tenant graph—the agentic CMDB itself—that stays true every cycle.
Supervity AI Employees run asset discovery and configuration management for large IT estates, keeping the CMDB current from real change activity and computing license position continuously.
IT moves from reconciling spreadsheets to governing an asset graph it can trust.
Auto ITAM is deployed against a committed path to AI-first operations. Supervity keeps working at no additional cost until the milestone is reached.
Committed initial operating baseline.
The operation expands as policy coverage and graph context deepen.
A scaled operating model with humans focused on governance and genuine exceptions.
See Auto ITAM keep a live CMDB and license position against your own estate in an FDE baseline scoping session.