IT Financial Management (ITFM) / TBM

Full cost attribution to every IT service.

FogLifter® computes the true cost of delivering each IT service by aggregating validated usage data across every tower — compute, storage, middleware, backups, network, and labor — into a single defensible figure.

Illustration representing the Cost of Service solution

Expected outcomes

What good looks like for teams adopting this solution.

True service cost Not an estimate — a measured figure built from validated operational data
Cross-tower aggregation Servers, storage, middleware, backups, network, and labor in one view
Provider accountability Cost of service becomes the basis for contract renegotiation
Full-stack attribution Hardware, network, software, labor, and cloud rolled into one service cost

From problem to solution

Each FogLifter solution follows a decision-oriented path.

The problem

Knowing what a service costs requires aggregating cost data across every tower that contributes to it: compute, storage, middleware, databases, backups, network, and labor. Most organizations can estimate the total but cannot defend the components.

  • Tower-level costs are available but service-level costs are not.
  • Labor cost is excluded from service calculations.
  • Shared infrastructure is allocated by headcount, not by actual consumption.

How FogLifter addresses it

FogLifter aggregates validated usage data across every contributing tower and maps it to the service it supports — producing a true cost of service that is auditable, drillable, and defensible.

  • Multi-tower cost aggregation mapped to service definitions.
  • Labor cost included at the service level.
  • Shared infrastructure allocated by measured consumption, not proxies.

Related solutions

This solution works alongside other capabilities in the ITFM / TBM set.

Proof points

Evidence, not opinion.

Documented

6+ towers

Cost of service determined across servers, storage, middleware, databases, backups, and labor.

Method

Structured + unstructured

Aggregated usage data from several dozen environments.

Scale

$16M+

Total documented savings from accurate cost-of-service visibility.

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