Service desk
Intake, knowledge retrieval, and first-response drafts. SLA still owned by DTarform.
Managed services
An MSP that uses AI to shrink noise, not hide accountability.
Keep the catalog buyers already expect. Add the operating layer they cannot get from a generic help desk: triage, correlation, and draft remediation — always with an engineer on the hook.
What we talk about vs what we do not
| We say | We do | We do not say |
|---|---|---|
| AI-assisted service desk | Classify, summarize, and route tickets; humans close exceptions | Replace your IT team with a bot |
| Predictive infrastructure | Watch capacity, backups, and drift before users feel it | Zero incidents, guaranteed |
| Copilot for engineers | Draft runbooks and change notes from live context | Autonomous production changes with no approval |
Managed infrastructure
On-prem, cloud, and hybrid — same as today, with AI watching telemetry around the clock.
Data and applications
Lifecycle, backups, and custom software. Private models stay on StellarCascade when data cannot leave.
Outcomes we will publish
Mean time to acknowledge, ticket deflection, after-hours load, backup success, and change failure rate — not vague innovation.