How do I export AI spend to my FinOps platform?
Download a FOCUS 1.1 CSV from the Cognocient dashboard or pull it via API. Load it into Apptio, CloudZero, Spot, or any FinOps tool that supports FOCUS — no schema mapping required.
Goal: AI spend data in your existing FinOps platform — Apptio, CloudZero, Spot, or a data warehouse — so your team sees AI costs alongside cloud costs in one view.
Time: 10 minutes for a manual export. 30 minutes to automate via API.
Step 1 — Download a FOCUS 1.1 export from the dashboard
Go to Dashboard → Reports → Export → FOCUS 1.1:
- Select the date range (e.g., last month)
- Choose format: CSV (for FinOps platforms) or JSON (for data warehouses)
- Click Download
The file is ready immediately.
Step 2 — Load into your FinOps platform
| Platform | How to ingest |
|---|---|
| Apptio Cloudability | Settings → Custom Data Sources → Upload FOCUS file → map on BillingAccountId |
| CloudZero | Integrations → Custom Dimensions → Upload CSV — AI cost dimensions align with FOCUS column names |
| Spot by NetApp | Eco → Cost Sources → Add Source → FOCUS 1.0+ compatible upload |
| AWS Cost Explorer | The FOCUS export maps to CUR 2.0 format — load via S3 + Cost and Usage Report ingestion |
| Azure Cost Management | ActualCost + FOCUS columns — ingest via Azure Storage → Cost Management export |
| Snowflake / BigQuery / Redshift | Load the CSV/JSON directly — join on BillingAccountId + BillingPeriodStart |
If you use Apptio Cloudability or CloudZero, ingest the file as a "custom spend source." AI spend will appear alongside your cloud costs with full drill-down by department, feature, and model — no schema transformation needed.
Step 3 — Automate with the API (for monthly pipelines)
Pull the export programmatically so your pipeline doesn't require a manual step:
Schedule this as a monthly cron job (run on the 2nd of each month, pulling the prior month's data):
Step 4 — Key FOCUS columns for FinOps reconciliation
| FOCUS column | What it contains | FinOps use |
|---|---|---|
ProviderName | openai / anthropic / google | Filter by AI provider |
ServiceName | Model name (gpt-4o-mini, claude-sonnet-4-6) | Cost by model |
SubAccountName | X-Cost-Department value | Department chargeback |
BilledCost | Actual API cost in USD | Join against cloud billing |
Tags/x-cost-feature | Feature name | Per-feature cost drilling |
Tags/x-cost-department | Department | Chargeback allocation |
Tags/x-cog-classification | investment or waste | ROI vs. waste split |
Step 5 — Reconcile AI spend against cloud billing
To get a unified view of all infrastructure + AI spend:
- Download Cognocient FOCUS export for the billing period
- Download your cloud billing export (AWS CUR / Azure export / GCP BigQuery billing)
- Load both into your data warehouse
- Join on
BillingAccountId+BillingPeriodStart - Filter by
Tags/x-cost-departmentto generate per-department chargebacks that include both cloud and AI spend on one line
Related: FOCUS 1.1 Export · Chargeback & GL Mapping · Board Reports
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