Autonomous optimization
Automate commitments, rightsizing, and cleanup with policy-driven workflows.
The problem
Recommendations rot when every change still needs a hero ticket. Rightsizing, cleanup, and commitment buys happen in bursts, then stall until the next cost review. Savings do not compound because the process is still manual.
How it works
Define the policy
Set which actions can run automatically, which need approval, and which environments are in scope.
Queue the work
Commitments, rightsizing, and idle cleanup land in workflows ranked by impact and risk.
Approve or auto-run
Low-risk cleanup can execute under policy; production changes stay behind human sign-off.
Keep optimizing
As usage shifts, the engine re-evaluates so optimization is continuous, not a quarterly project.
Benefits
- Compound savings without staffing a full-time remediation queue.
- Keep humans in the loop where production risk is real.
- Turn one-off cleanups into an always-on optimization loop.
Ready to put this to work?
Connect a cloud account and see it on your data, or talk to sales for a guided walkthrough.