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 → 4Data centers consolidated into next-generation sites | 260K+Configuration items in scope | ~4,000Business 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.
