From Alert → Owner → Root Cause → Fix → Automate
Our REVEAL™ Jira workflow turns cloud cost anomalies into repeatable learning loops — shrinking cycle times and embedding institutional memory.
Why Variance Management Matters
Cloud costs rarely spiral because of one big mistake — they grow quietly through variances, misconfigurations, and unmonitored usage.
Without a loop, teams struggle with:
Alerts that flood inboxes but never resolve.
Finger-pointing between Finance and Engineering.
The same anomalies reappearing month after month.
Variance & Automation Loops transform those alerts into a governed process of accountability and learning.
Our Approach
- Spot anomalies early with CUR/Athena cuts and variance thresholds
- Flag unexpected spend across accounts, services, and usage types
- Anomaly auto-creates a Jira ticket → routed to the right owner
- Engineers validate root cause, Finance tracks accountability
- Responses captured for re-use and future automation
- Frequent anomalies get codified into automated playbooks.
- EventBridge/Lambda actions or Terraform guardrails.
- Variances that once took days → resolved in hours.
Outcomes You can Expect
✅ Shrink anomaly response cycle time by up to 60%.
✅ Build a searchable record of resolved anomalies (institutional memory).
✅ Turn alerts into trust: Finance + Engineering align on fixes.
✅ Reduce manual firefighting and free up teams for strategic work.
Testimonials
"Before REVEAL, our anomaly reviews were ad-hoc and forgotten. With Jira automation, every variance is tracked, assigned, and resolved. Within months, our cycle time dropped by half and repeat anomalies fell dramatically."
-Kelvin Black
From Dallas, USA
"Before REVEAL, our anomaly reviews were ad-hoc and forgotten. With Jira automation, every variance is tracked, assigned, and resolved. Within months, our cycle time dropped by half and repeat anomalies fell dramatically."
-Jack Nelson
From Dallas, USA
let’s turn variances into a competitive advantage.
Don’t just detect anomalies — resolve them, learn from them, and automate them.