AI infrastructure
AI Infrastructure Investment Business Case
Build an evidence-based case before committing power, cooling, compute, storage and resilience investments for AI workloads.
Why this case matters
Should the organization upgrade existing infrastructure, use a hosted model, or sequence a hybrid investment?
The business case should connect the decision to avoided risks, measurable outcomes, verifiable evidence and clear accountability.
Risk if the decision remains under-framed
Confirm the risk, quantify it where possible and assign an owner.
Confirm the risk, quantify it where possible and assign an owner.
Confirm the risk, quantify it where possible and assign an owner.
Value levers
What the case should demonstrate.
Define a baseline, target and measurement method.
Define a baseline, target and measurement method.
Define a baseline, target and measurement method.
Define a baseline, target and measurement method.
Evidence required
Do not fill evidence gaps with assumptions.
Missing information should be recorded as a decision risk with a validation action.
Source, owner, date and confidence level should be identifiable.
Source, owner, date and confidence level should be identifiable.
Source, owner, date and confidence level should be identifiable.
Source, owner, date and confidence level should be identifiable.
Source, owner, date and confidence level should be identifiable.
Case structure
From current state to executive decision.
Facts, current capability, constraints and performance.
Cost, risk, dependencies, timing and reversibility.
Benefits, avoided risk, KPIs and assumptions.
Sponsor, sequence, owners and reviews.
KPI
Indicators to adapt to the context.
No benefit should be presented as guaranteed. Document the baseline, calculation method, period and dependencies.
Recommended starting point
AI InfraGrade™
Use this framework to prepare the first discussion, then validate scope and evidence before any recommendation.