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Free 90-min cost review.

What you leave the call with

• Top waste sources, named and ranked by impact in USD/INR with effort estimate per lever.
• Slot or warehouse rightsizing model with the recommended commit shape, term, and a sensitivity table.
• Query-pattern teardown — the most expensive query patterns we surface in your environment, with the rewrite for each.
• dbt model fan-out audit — which models re-run unchanged source data, which multiplicatively explode source-table reads, which nobody queries downstream.
• 30/60/90-day execution plan separating quick wins (week 1) from architectural changes (quarter 2+), with savings booked against each lever.
• Monitoring blueprint — what to watch, where to put alerts, how to keep cost from regressing after the work ships.

How the session runs

Before the call. You give us read-only metadata access on the warehouse — query history, slot or warehouse reservations, dbt manifest if you run dbt. No production data access.

During the 90 minutes. We run our codified rule library and deterministic validation framework live against the metadata, with your platform lead on screen-share. We walk through findings as they surface — named levers, the rightsizing model, the dbt fan-out shape, the 30/60/90-day plan. You ask questions in real time. Recording optional.

After the call. We hand your engineering team the plan and step away. Most teams ship the quick-wins themselves within 30 days; the architectural changes either become a follow-on Execution engagement (fee credited if applicable) or land on your roadmap. We don't move money around for you, change your queries, or sell you a SaaS subscription.

The kind of teardown we run

Every Cost X-Ray is methodology-first. The same rule library and validation framework runs against your environment — but the specific levers, magnitudes, and recommended plan are entirely environment-dependent.

We've shipped this methodology on a recent India D2C consumer commerce platform's BigQuery estate, where the engagement codified the kind of waste patterns described above. The actual numbers on your environment will look different.

The sample deliverable (linked at the top of this page) shows the output shape — the 12 sections of the deck, the structural promise of what you'll receive. Treat the numbers in the sample as illustrative of the format, not as a prediction of your outcome. If the X-Ray surfaces $10k of annual waste in your environment, the deck reflects that. If it surfaces $500k, same deck, different numbers.

What the X-Ray is NOT

• Not a SaaS dashboard. No subscription. No login. A deck, a sheet, and a meeting.
• Not a 10-day FinOps Audit. The FinOps Audit covers your entire cloud spend — compute, storage, egress, Kubernetes, warehouse. The Cost X-Ray is the warehouse-only teardown at twice the depth. FinOps Audit lives here if you want the broader cut.
• Not an Execution engagement. If the X-Ray surfaces a rewrite worth shipping, that is a separate $50–300k fixed-fee Execution scoped from the X-Ray output. The X-Ray fee — once reinstated — is credited.
• Not a guaranteed savings number. We commit to a structured deliverable: top waste sources ranked, slot/warehouse rightsizing model, 30/60/90-day plan. We don't commit to a percentage — the rule library finds what's in your environment, not what's in someone else's.

Pricing & scope

• Free through end of Q3 2026. The 90-min session runs at no charge in exchange for permission to publish the anonymized methodology — your numbers, names, and topology stay private.
• After Q3 2026: reverts to a 5-day $100 paid diagnostic, credited 100% to any Execution engagement signed within 60 days of deck delivery.
• Read-only metadata access only. We do not require production data access.
• NDA on request. Standard MSA + DPA available — typically a 24-hour legal review on our side.
• The 1-page credential checklist is shared on the scoping call, scoped to your specific platforms.

Who it's for

$50M–$1B revenue companies running BigQuery, Snowflake, Databricks, or significant AWS/GCP/Azure spend at production scale — typically post-growth, starting to see cloud or warehouse spend pull ahead of the platform team's attention budget.

The buyer is typically a VP of Data, Head of Platform, CTO, or CFO running an efficiency mandate. If the 90-min cost review is the wrong shape for your situation, we'll say so on the first scoping call — and point you at whatever is the right shape.