Decision Workspace

Cloud FinOps Optimization

Single source of truth for this strategic initiative — objectives, risks, expert guidance and the path to a decision.

Confidence
64%
Status
Evaluating
Budget
$2.1M / 18mo
Target decision
Q2 2026
Business objective

Implement unit-cost visibility and autonomous rightsizing to reduce cloud run-rate spend by 22% within 12 months.

Decision summary

Cloud spend has grown 34% YoY without proportional value capture. Shadow provisioning, orphaned resources, and lack of showback are masking true workload costs. This decision selects a FinOps platform and operating model that embeds cost accountability into engineering workflows.

Objectives
  • Achieve 85% tag compliance and accurate showback within 90 days
  • Reduce cloud run-rate by 22% through rightsizing and reserved capacity
  • Automate anomaly detection and policy guardrails
  • Integrate cost metrics into engineering sprint retrospectives
Key risks
High
Engineering resistance to cost accountability
High
Incomplete tagging across 200+ accounts
Medium
Multi-cloud tool sprawl
Medium
Reserved capacity overcommitment
Timeline
Sep 20
Decision opened
Oct 15
Baseline spend analysis complete
Nov 12
Tool shortlist & POC kickoff
Dec 10
Peer benchmark review
Feb 01
Platform selection & implementation plan
Stakeholders
MH
Marcus Hale
Head of Infrastructure — Owner
PR
Priya Raman
CISO
DC
Daniel Cho
VP Procurement
AP
Aisha Patel
Head of Engineering
Expert recommendations
HM
Dr. Hannah Mehta
Lead Analyst — Cybersecurity

"Wood Mackenzie's OT footprint and energy threat profile push the recommendation toward CrowdStrike Falcon Complete + Charlotte AI. Confirm Defender economics for non-trading endpoints."

JO
James Okafor
Principal Analyst — Enterprise Architecture

"Wood Mackenzie's OT footprint and energy threat profile push the recommendation toward CrowdStrike Falcon Complete + Charlotte AI. Confirm Defender economics for non-trading endpoints."

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