Stop cost spikes before the invoice.
A FinOps agent that scans your cloud spend on cron, flags anomalies the day they happen, recommends concrete right-sizing actions, and enforces budget caps through your existing approval flow. Built for teams tired of explaining last month's bill.
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Lifecycle
Every morning at 07:00 your time, the agent pulls yesterday's spend from AWS Cost Explorer, GCP Billing, or Azure Cost Management. Breaks it down by service, region, project, and tag. Compares to the trailing 7-day baseline.
Anything >20% above baseline (configurable) becomes a finding. The agent correlates with recent deploys, autoscale events, and new resource creations to identify root cause — not just "EBS spiked" but "new stateful set deployed yesterday".
Agent reads CloudWatch/Cloud Monitoring utilization, Compute Optimizer output, and your own telemetry. Proposes concrete changes: "switch 12× m5.xlarge to m5a.large — saves $720/mo, CPU headroom remains 4×".
Configure monthly caps per project or service. When forecast spend hits 80%, the agent notifies owners. At 100%, any new resource-creation tool call routes through your approval queue — no runaway launches.
Sample output
Veirox · Cost Monitor — Weekly Report
#finops · Monday 07:00
This week's spend
$28,472
▲ 23% vs. last week
Top 3 anomalies
RDS · prod-analytics
New db.r6g.8xlarge launched Thu 14:22 — not in any deploy manifest
+$2,847
NAT Gateway · us-west-2
4.2 TB egress — correlated with new batch job in warehouse-etl
+$410
S3 · ml-training-artifacts
Lifecycle policy missing — 340 GB over 30 days old
+$89
Right-sizing opportunities (verified over 7 days)
12× m5.xlarge → m5a.large
CPU p95 = 18% · mem p95 = 24% · 4× headroom retained
Save $720/mo
Delete 38 unattached EBS volumes
Orphaned for >30 days · no snapshots
Save $142/mo
Connected
Cloud billing
Cost Explorer, Cloud Billing export, Cost Management — via read-only credentials from the vault.
Utilization
Right-sizing needs utilization data. Agent reads metrics from your existing observability stack.
Change tracking
Correlates spikes to recent deploys, Terraform runs, or manual resource creations.
Reporting
Weekly briefings to finance/eng leads. Auto-opens Jira tickets for remediation work.
Approval
Forecast-exceeds-cap triggers approval queue. No surprise over-provisioning.
Internal tools
Plug your tagging service, chargeback engine, or commitment tracker via custom tool servers.
Typical outcomes
12–18%
cloud spend reduction in quarter one from right-sizing + cleanup
1 day
median time from spike to owner notification (vs. month-end)
0
unbudgeted "what happened last month?" conversations with CFO
Connect read-only billing credentials and run your first daily scan tonight.