From rising cloud spend
to a costed action plan in two weeks.
The AWS bill keeps climbing. The CFO is asking questions. AI and Bedrock line items grew faster than anyone forecast. Cost allocation is messy, commitments have never been bought, and engineering is too busy shipping to model rightsizing from scratch.
The Rapid Savings Sprint is a two-week FinOps diagnostic built on the AWS Well-Architected Cost Optimisation pillar. We examine rightsizing, idle resources, commitment coverage, storage and data-transfer patterns, and the architecture choices driving compounding cost.
You walk away with a quantified opportunity register, a Savings Plans ladder, and a 30-day execution roadmap your team owns. No managed-service lock-in. The leverage stays with you.
The full cost surface, in two weeks
Built on the AWS Well-Architected Cost Optimisation pillar — sized, prioritised, and reviewed with engineering before anything lands in your action plan.
Rightsizing & Idle Resources
EC2, RDS, EBS, NAT gateways, load balancers, and orphaned snapshots—quantified, prioritised, and tied to safe-to-execute change plans.
Savings Plans & RI Strategy
Modelled commitment coverage across compute, Lambda, and SageMaker. A recommended ladder that flexes with your roadmap—no over-commit, no under-coverage.
Storage & Data Transfer
S3 tiering, lifecycle policies, EBS gp2→gp3 migration, snapshot hygiene, and the cross-AZ and egress traffic that quietly compounds every month.
AI & Bedrock Spend Review
Token usage, model choice, inference patterns, and GPU instance footprints—the cost lines no one was tracking when the GenAI experiment shipped to production.
Architecture-Driven Cost
Patterns that look fine in design but burn euros at scale—chatty services, oversized Lambdas, idle clusters, and anti-patterns baked into IaC modules.
Tagging, Allocation & Ownership
A clean tagging strategy, allocation rules, and a showback model your finance and engineering teams can both read—wired into Cost Explorer and AWS Budgets.
What you walk away with
Concrete artifacts your engineering team owns from day fifteen — not a deck, not a recommendation, not another standing meeting.
Quantified Opportunity Register
Every recommendation sized in euros, prioritised by effort and risk, with a named owner. Sorted so the highest-leverage moves are the ones your team executes in week three.
Savings Plans Ladder
A commitment-coverage plan modelled across compute, Lambda, and SageMaker—flexible enough to ride the roadmap, conservative enough to survive a hiring freeze.
30-Day Execution Roadmap
A two-week-by-two-week plan your engineering team owns from day fifteen. Each move has a risk rating, a rollback path, and a definition of done your finance lead recognises.
Two weeks, four phases
Fixed scope, fixed price, fixed dates. Every recommendation is reviewed with engineering before it lands in your action plan.
Discover
Account scan, Cost Explorer baseline, Compute Optimizer pull, and stakeholder interviews. We learn how your team actually deploys, where ownership lives, and which trade-offs are off the table.
Analyse
Rightsizing models, commitment-coverage simulations, architecture review, AI and Bedrock spend dissection, and tagging assessment. Numbers, not opinions.
Recommend
Prioritised by effort versus impact, with clear ownership and safe-to-execute change plans. Every recommendation is reviewed with engineering before it lands.
Hand off
Executive readout for finance and leadership, engineering deep-dive for the people executing, and a 30-day roadmap your team owns from day fifteen.
AWS-native, end to end
We work with AWS's own cost surfaces — not screen-scrapers, not third-party agents that need to live in your account.
Ready to see
where the money is going?
Book a 20-minute discovery call. We confirm fit, scope the sprint, and tell you what we typically find first — before you commit to anything.