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Case study showing ServiceNow CMDB accuracy for a manufacturing client

95% CMDB Accuracy | How Aegis Softtech Fixed the Root Cause Behind a Manufacturing Client's Change Failures

CSDM Implementation | Automated Discovery | Fewer Change-Related Outages

At a Glance

IndustryManufacturing & Critical Services
ServicesCSDM Implementation, Automated Discovery Configuration, CMDB Accuracy Improvement, Change & Incident Management Optimization
ChallengeAn inaccurate CMDB driving high change-failure rates, unreliable service records, and outages nobody could trace back to their actual cause.
SolutionApplied CSDM principles and automated discovery to rebuild the CMDB around critical services.
Key ResultReached 95% CMDB accuracy and cut change-related outages by 50%.

About the Client

The client is a manufacturing organization running critical services where a failed change could stop production, not just an IT ticket.

Requirement

The client's CMDB looked complete on paper but didn't hold up once changes started failing against it. A few root issues kept surfacing across critical services that required ServiceNow consulting.

  • Inaccurate CMDB: The configuration data teams relied on didn't reflect what was actually running. Every change carried risk nobody could fully see.
  • High Change-Failure Rates: Changes kept failing in ways that traced straight back to bad assumptions about dependencies — assumptions the CMDB itself had gotten wrong.
  • No CSDM Structure: Nothing organized service data around a consistent model, so the same service meant something different depending on which team you asked.
  • Manual, Inconsistent Discovery: Updates depended on someone remembering to make them, and they fell out of date almost as soon as they were entered. Gaps went unnoticed until a change failed because of one.

Solution Delivered

Aegis Softtech rebuilt the CMDB around a structure that could stay accurate on its own, instead of depending on manual upkeep. Each piece addressed a specific gap uncovered in the requirement phase.

  • CSDM Implementation: Aegis Softtech restructured the client's configuration data around CSDM principles, giving every critical service a consistent, accurate model to sit on.
  • Automated Discovery: As part of the ServiceNow implementation, we replaced manual CMDB updates with automated discovery, so configuration data stayed current without someone remembering to enter it.
  • Critical Service Mapping: Dependencies between critical services got mapped accurately for the first time, closing the visibility gap that had been driving failed changes.
  • Change Process Alignment: Change management now checks against a CMDB teams can actually trust, instead of working around known gaps in the data.
  • Ongoing Validation: The Aegis Softtech team validated CMDB accuracy against real service behavior throughout the engagement, catching drift before it became a blind spot again with ServiceNow managed services.

The Results

The client saw the following outcomes:

Technology Stack

Is Your CMDB the Reason Changes Keep Failing?

Aegis Softtech helps IT teams rebuild the CMDB around CSDM principles and automated discovery, so changes get made against data that actually reflects the environment.

Whether your CMDB has drifted out of accuracy over time or you're structuring one for the first time, our ServiceNow team of experts can help you catch failures before they turn into outages.

Talk to a CMDB & Configuration Management Specialist

Client identity is confidential. Project details verified through internal delivery records. Reference available on request.