Customer story · Managed servicesWhen operational systems disagree about your endpoints, who determines what's actually true?
An established MSP managed large endpoint populations across multiple customers, but its inventory, security, documentation, and PSA systems did not consistently agree.
01 · ProblemSystems disagreed about endpoint reality.
Current inventory, documented exceptions, expected security services, and PSA contract data did not consistently agree.
02 · Business impactPeople carried the cost of uncertainty.
Reconciliation and technician coordination consumed approximately half of an operations team member's working time—pulling attention from higher-value work while service and contract discrepancies remained unresolved.
03 · What OPTIC changedOPTIC automated evidence collection and correlation.
OPTIC brought together evidence from dispersed APIs and raw digital documents, then reconciled inventory, exceptions, expected coverage, and PSA contract evidence.
04 · Current resultThe team gained a trustworthy path from discrepancy to action.
OPTIC identifies where evidence agrees, conflicts, or remains uncertain; preserves what supports each finding; and prepares supported gaps for operator-owned follow-up—reducing reconciliation effort and exposure to missed services or incorrect billing.
Less manual reconciliation. Clearer service coverage. Owned follow-up.
See how OPTIC established a trustworthy endpoint view →
Correlation methodRecords became a reviewable population.
OPTIC correlates compatible evidence from current inventory, raw documents, documented exceptions, expected security-service coverage, and PSA contract data while preserving source history.
Identifiers alone are not treated as proof that two records describe the same endpoint; incomplete or conflicting evidence remains visible.
Current and planned workflowOperators still own remediation.
Supported discrepancies are prepared for operational follow-up. PSA service, ownership, and assignment data can inform selection of the appropriate technician.
Automatic ticket creation and assignment are planned and are not currently implemented. A human operator retains ownership of the next decision.
Customer identity and operational details have been anonymized.