Auto iTSM runs IT service management end to end. AI Employees triage and resolve tickets, orchestrate incidents and changes, provision access, and keep the CMDB current. IT stops working the queue and starts governing the command center that does.
SOC 2 Type 2 · ISO 27001 · Sovereign by default
Legacy ITSM platforms give IT a ticketing workflow, a CMDB, and a self-service portal, then wait for agents to triage, diagnose, and resolve. Auto iTSM runs the service desk and escalates only what needs a human.
| Where the work happens | Your ITSM platform today | Auto iTSM |
|---|---|---|
| Ticket triage & routing | Tickets are categorized and routed by static rules, then queue for an agent. | AI Employees classify, prioritize, and route every ticket, and resolve the ones that clear policy. |
| Knowledge & resolution | The knowledge base exists, but agents still diagnose from scratch. | Resolution draws on the knowledge base and the Auto Graph, and turns each fix into reusable knowledge. |
| Access & provisioning | Access and provisioning requests wait on manual approval and fulfilment. | Access and provisioning run end to end under policy, with entitlements applied deterministically. |
| Major incidents | Major incidents are coordinated over a bridge call and a spreadsheet. | Major incidents are detected, correlated, and orchestrated with stakeholders updated automatically. |
| CMDB accuracy | The CMDB drifts out of date the moment the environment changes. | The CMDB is kept current from actual change and discovery activity, not manual updates. |
Auto iTSM decomposes the service desk into the components an IT operation actually runs, each executed by governed AI Employees against a living service and configuration graph.
Classifies, prioritizes, and routes every ticket across chat, email, portal, and voice, with no static-rule dead ends.
Resolves password, access, how-to, and common technical issues end to end when they clear policy.
Answers and resolves in-channel before a ticket is ever created, cutting queue volume at the source.
Serves users across languages and time zones without adding shifts or headcount.
Correlates alerts and tickets into incidents, cutting noise and surfacing the real event fast.
Runs the process end to end: stakeholders, comms, and updates handled automatically under command.
Links recurring incidents to root cause and tracks the fix so the same issue stops coming back.
Tracks SLAs in real time and escalates at-risk items before they breach, not after.
Fulfils requests end to end, applying entitlements deterministically under policy.
Assesses, schedules, and executes standard changes under policy, routing risky changes for approval.
Runs onboarding, role changes, and offboarding across systems, keeping access correct and timely.
Keeps the CMDB current from real change and discovery activity, so the record stays trustworthy.
The command center where IT monitors AI Employees, reviews exceptions, and steers the operation in plain language.
IT authors resolution, access, and change rules in plain language; they take effect deterministically.
Turns every resolution into reusable knowledge in the Auto Graph, so the desk gets sharper each cycle.
Every action, approval, and access grant is time-stamped and queryable for audit and security review.
Each is a service operation the command center owns end to end, with humans on the loop for oversight and in the loop only on risky changes and escalations.
Common access, password, and technical issues are resolved end to end without an agent when they clear policy.
Requests are answered and resolved before a ticket is created, cutting queue volume at the source.
Every ticket is classified, prioritized, and routed with context, ending static-rule misroutes.
Incidents are detected, correlated, and coordinated with stakeholders and comms handled automatically.
Recurring incidents are linked to root cause and the fix tracked so the issue stops recurring.
Access requests are fulfilled end to end with entitlements applied deterministically under policy.
Standard changes are assessed, scheduled, and executed under policy, with risky changes routed for approval.
Onboarding, role changes, and offboarding run across systems, keeping access correct and the CMDB current.
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 IT service workers triage, resolve, orchestrate incidents, and fulfil access and change across the ITSM, identity, and infrastructure systems, escalating only risky changes and true escalations.
Resolution rules, access entitlements, change-risk criteria, and approval limits are authored in plain language and enforced deterministically before an action executes.
Escalations and risky changes arrive with the full context and the applied policy. The reviewer decides once; the resolution trains the next cycle.
Users, assets, configuration items, incidents, and resolutions become a living per-tenant graph that makes triage and resolution sharper every cycle.
Governed through the Auto Manager Console. Every action logged, time-stamped, and auditable.
Supervity AI Employees run service operations across channels and languages, resolving common requests end to end and orchestrating incidents and access under policy. IT moves from working the queue to governing the command center and reviewing exceptions.
SOC 2 Type 2 and ISO 27001 certified. Sovereign deployment on the customer's own cloud and model contracts.
Auto iTSM is deployed against a committed path to AI-first operations. Supervity keeps working at no additional cost until the milestone is reached. Milestones are scoped per deal during FDE baseline scoping and subject to commercial agreement; the remedy is extended engagement at no additional cost, not a refund.
See the Auto iTSM command center run your service desk against your own volumes and policies in an FDE baseline scoping session.
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