Savings without incidents.
You own the platform, the on-call rota, and the change-management process. QCW is the optimisation layer that respects all three.
Risk-scored, dev-tested, promoted through your gates.
- 01
Every recommendation scored on operational risk alongside financial impact — dependencies, criticality, payback.
- 02
Dev-first promotion: every change runs through your existing dev → staging → prod path. No shortcuts.
- 03
Terraform / IaC-native execution. Nothing happens outside your source of truth.
- 04
Zero agents in production during assessment. Read-only until you sign off — then controlled, audited execution.
Every FinOps ticket is a question about whether breaking prod is worth $X / month. QCW takes that question off your team's plate by pre-scoring it, pre-testing it in dev, and putting the change through your gates the same way engineers would. Savings land. The platform doesn't break. Your weekends stay yours.
Answered straight.
01Will QCW touch our production environment?
Not without your sign-off. Initial assessment is read-only — billing and utilisation data, no agents, no production impact. When execution begins, every change runs through your dev environment first, then promotes to production through your existing approval gates. Same path your engineers use today.
02What if a recommendation causes an incident?
The audit trail makes rollback trivial. Every executed change is version-controlled through your IaC. Every approval, parameter, and outcome is logged. Reversing a change takes the same path as applying it — approved, controlled, recorded.
03We don't have the bandwidth to action all this.
You don't need it. QCW offers a managed execution option — our team takes the recommendations through your approval workflows on your behalf, with permissions and risk levels you define upfront. Same governance, none of the engineering load on your side.
See your first opportunities in 48 hours.
Read-only connection to your cloud accounts. First-pass recommendations in two days; validated picture grows as data matures.