Migrate from ServiceNow
End the CMDB dependency. Build a live source of truth.
ServiceNow SAM's accuracy is bounded by the accuracy of the underlying CMDB — industry estimates put typical CMDB accuracy around 60%, meaning a meaningful share of records are stale or incomplete at any given time. Mima builds its own estate graph dynamically from directories, cloud billing APIs, hypervisor queries, and identity providers, independent of CMDB refresh cycles.
Mima doesn't require replacing ServiceNow — it runs as an independent, continuously-updated intelligence layer and can feed cleaner data back into your CMDB rather than depending on it. A full enterprise ServiceNow Discovery rollout commonly takes three to six months, while Mima's parallel deployment runs in days.
Full enterprise ServiceNow Discovery rollouts commonly take three to six months, consistent with published implementation estimates. Mima's parallel rollout can be running in days without disrupting existing systems.
Related Reading
How to Find Unused Microsoft 365 Licenses: A Data-Driven Reclamation Guide
Step-by-step guide to identifying and reclaiming unused Microsoft 365 licenses using active usage metrics instead of login-based tracking. Includes cost modeling and reclamation workflow design.
Microsoft Copilot License Waste: Are You Paying for AI Nobody Uses?
How to measure actual Microsoft Copilot engagement, identify wasted licenses at $30/user/month, and build a data-driven case for scaling or reclaiming Copilot deployments.
Employee Offboarding License Cleanup: Solving Leaver Access Creep
How to prevent and remediate ghost SaaS licenses that persist after employee departure. Covers the JML lifecycle gap, automated deprovisioning workflows, and the compliance audit trail requirements for license reclamation.