A clear strategy.
Smarter spend.
A complimentary review of your data and AI priorities, tools and costs—to identify what to improve, where to invest and where to save.
Book your audit callThe audit call is complimentary. No production access needed.
Bring your setup.
Tell us what you want to achieve, what is getting in the way and which tools you use. Approximate costs are enough to start; bills or usage reports help us get more specific.
Leave with a clearer direction.
You’ll leave with a better understanding of your data and AI priorities and a practical plan for your spend: what to prioritize, where to invest and where to reduce costs.
Where we look.
We look at how your data setup supports reporting, AI and day-to-day work, alongside the cost of running it. That includes missing capabilities, overlapping tools, expensive workloads and recurring maintenance.
Explore the review areas
| Stack layer | Savings potential | What we discuss |
|---|---|---|
| Source systems | Lower direct | Unused analytics licenses, API add-ons and duplicate exports. Replacing a core CRM or finance system is rarely the first move. |
| Ingestion & connectors | Often high | Unused tables, duplicate pipelines and unnecessary data volume. Savings depend on the billing model; slower syncs do not necessarily lower active-row charges. |
| Warehouse & compute | Often high | Idle capacity, oversized workloads and costly repeated queries. Tune sizing and schedules while preserving speed and freshness. |
| Storage & transfer | Usually lower | Duplicate copies, excessive history and cross-cloud transfers. Large datasets can make this a bigger opportunity; retain required recovery coverage. |
| Transformations & orchestration | Medium–high | Full rebuilds, redundant jobs and unnecessary refreshes. Simplify processing and maintenance; count any compute savings only once. |
| Semantic layer | Lower direct High time-saving potential | Overlapping licenses and duplicated metrics. Preserve shared definitions that reduce conflicting answers and repeated analysis. |
| Context layer | Lower direct High time-saving potential | Stale documentation, duplicated tooling and repeated clarification. Better business context reduces rework for people and AI. |
| Reporting & BI | Often high When tools overlap | Unused seats, duplicate platforms and reports nobody opens. Match licenses to actual needs and retain reporting people rely on. |
| AI, MCP & data apps | Variable Higher at scale | Model usage, repeated queries, excessive context and app hosting, including vibe coded apps. MCP does not eliminate model or warehouse costs. |
| Workflows & integrations | Medium | Task charges, duplicate integrations and frequent polling. Compare simpler workflows with the cost of maintaining alternatives. |
| Reliability & maintenance | Potentially high Total cost, across the stack | Monitoring spend, noisy logs, recurring failures and manual fixes. Separate cash savings from freed capacity; preserve testing, access controls and recovery. |
Know what to improve.
Know where to invest.
Start with a conversation about your setup. If you want help validating savings or making changes, we can scope that separately.