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SERVICENOW SPM

“Infrastructure Demand Intake: capacity decisions that show their work”

A global financial services institution replaced manual, spreadsheet-driven capacity requests with governed demand intake on ServiceNow SPM - sized by evidence, not instinct. Built by ValueCentrix and now live in production.

14 →  4 

Data centers consolidated into next-generation sites 

260K+ 

Configuration items in scope 

~4,000 

Business applications in scope 

The challenge 

Infrastructure demand ran on spreadsheets and email, disconnected from any real measure of how the estate was being used. Three failures compounded. 

No demand-side discipline 

Capacity planners over-provisioned by default — the safe answer was always the largest option — because nothing let them size a request against actual utilization. 

Governance came too late 

Capacity and architecture approvals happened at order time rather than during forecasting, so every correction turned into a cycle-time delay. 

No capacity guardrail 

Leadership had no dependable view of committed demand against the floor capacity actually available, so it stayed possible to commit to space that did not exist. 

What we built 

ValueCentrix made ServiceNow SPM the front door for infrastructure demand, orchestrating the systems the client already owned rather than replacing them. Three components did the work. 


–   A sizing engine that recommends capacity for each configuration item from its

own utilization history, classifying the workload pattern and applying a growth

buffer — and recording the reasoning behind every recommendation rather

than just the answer. 

–   A capacity wallet that validates each request against the CPU, memory and

storage genuinely available to that owner, in real resource units rather than

abstract points or budget. 

–   A shift-left approval path that clears automatically when the recommendation is

accepted and escalates only when it is overridden, moving capacity governance

out of the critical path. 

 

The outcome 

Demand intake is live in production. What changed in how the client works: 


–   One governed front door. SPM is the system of record for infrastructure

demand; spreadsheets and email are out of the request path, and every request

arrives structured and enriched. 

–   Right-sizing by default. Requests are sized against measured utilization instead

of defaulting to the largest option available. 

–   Guardrails at intake. Demand that would exceed available capacity is stopped

before it consumes downstream review cycles. 

–   Human review for exceptions only. Accepted recommendations clear the

capacity gates automatically; only overrides escalate to a capacity manager. 

–   Explainable, and AI-ready. Every recommendation carries its logic, so Now Assist

can answer capacity questions traceably. Dashboards and AI Agent capability are

in build. 


How we delivered it 

Staged deliberately - the model was proven on the client’s own data before anyone committed to scaling. 

Proof of concept 

Built and validated against the client’s live utilization and configuration data — evidence rather than a proposal. 

Production rollout 

Moved into the client’s production environment as the system of record for infrastructure demand. 

In flight now 

Executive dashboards for pipeline and capacity visibility, plus Now Assist and AI Agent capability. 

 

What comes next 

–   Executive dashboards and AI agent capability — in active development. 

–   Operational readiness automation, with bidirectional status sync back to

application teams. 

–   Cutover, change management and automated decommissioning of retired

infrastructure. 

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