Ownership at creation
A resource without an owner is a cost nobody will defend. Ownership is captured when the resource is created, from the pipeline that created it, rather than reconstructed from tags at month end.
Finding waste is the part every tool does. Preventing the same overspend next quarter needs an owner at creation, a guardrail before the spend, and a record of who approved the change.
Signed off by FinOps leads, platform engineering and internal audit
A finding that nobody owns becomes the same finding next month.
A resource without an owner is a cost nobody will defend. Ownership is captured when the resource is created, from the pipeline that created it, rather than reconstructed from tags at month end.
Budget and rate policies evaluate at request time, so an agent run or an oversized cluster is stopped or flagged before the money is committed rather than after the invoice arrives.
A variance goes to the team that can act on it, with the attribution behind it attached. No central FinOps queue, and no monthly report that lands on everyone and moves nobody.
Every recommendation, approval and applied change is recorded with its rule, its inputs and its approver. An AI agent raises the pull request, a person approves it, Terraform applies it.
Coverage, allocation quality and policy adherence are measured over time against the Crawl, Walk, Run model, so the practice can show progress rather than assert it.
If the answer is that it gets flagged again next month, the tool reports. If the answer names the guardrail, the owner and the approval record, the tool controls.
DigiUsher composes the AI and RPA stack you already run into a governed workflow, with change management in the path rather than beside it.
| Alerting tools Conventional | DigiUsher Governed workflow | |
|---|---|---|
| Trigger | Threshold breached, email sent | Policy evaluated at request time, before the spend commits |
| Routing | Central FinOps inbox | The owning team, with the attribution attached |
| Change | A ticket somebody has to write | A pull request, raised with the fix in it |
| Approval | Out of band, in chat | In the path, recorded against the change |
| Evidence | A screenshot in a deck | Rule, inputs, approver and applied state, queryable |
A 15-minute call about your stack, then first insight within 48 hours of onboarding.