Data Warehouse
One reconciled source of truth your AI can actually reason from — the live, trustworthy facts an agent or skill needs to investigate a real question, in your own cloud.
Ask your AI a real question and it has nothing solid to stand on.
Your context and skills can reason, but the numbers they'd reason from live scattered across CRM, billing and product — and they disagree. The board number doesn't match the CRM number. So every answer is suspect, not because the model is weak, but because the ground under it is shaky.
Trustworthy ground your AI reasons from.
A Data Warehouse is a focused pipeline that pulls your scattered systems into one reconciled revenue grain — a single source of truth your AI investigates over and your team queries with confidence. It's provisioned in your own cloud account, so you own the infrastructure, the data, and the bill. This isn't about rebuilding reports you already have; it's about giving every answer above it solid ground to stand on.
Built when a win needs live facts.
You don't build this by default — you build it the moment a use case needs trustworthy live numbers your context and skills can't supply. Start as narrow as the win allows: a current-state mirror of the one or two sources it needs, broadened into a fuller warehouse when you need history and breadth. Same discipline either way.
See how the ladder fits togetherWhat you build, own, and can trust.
A warehouse in your cloud
Provisioned in your own account — you own the infrastructure, the data, and the billing.
Source connectors
Production pipelines from CRM, billing and product analytics, refreshed on schedule with alerting.
An identity model — the trust layer
The join logic that resolves leads, accounts and opportunities into one revenue grain, reconciled to source.
A data dictionary and lineage
Field-level definitions traced back to source — so an answer built on it is auditable and defensible.
Dashboards — the visible surface
Built on the same grain and handed over so your team can see and extend it. The surface, not the point.
An answer is only as good as its facts.
The whole point of this rung is trust: if the numbers underneath can't be reconciled, no AI answer built on them can be defended. So we build the ground to be checkable, not just convenient.
- Reconciled to sourceThe identity model is checked against source-system counts within an agreed tolerance — the numbers tie out.
- Auditable by designStaging → core → marts layering and a full data dictionary mean any figure can be traced back to where it came from.
- Defensible in the roomWhen the AI's answer rests on this ground, you can show your work — to the board, to finance, to yourself.
One trusted ground beats ten dashboards.
Scattered, generic data
- Numbers that disagree across systems
- An AI guessing from whatever it can reach
- Locked inside a tool you don't own
Your Data Warehouse
- One reconciled grain, tied to source
- Facts your AI can actually reason from
- In your cloud, on a model you choose
Your facts; the model is yours to choose.
ChatGPT
your choiceThe warehouse feeds whichever model you pick — and swap as the field moves. Your data, the part that's actually yours, stays put and keeps working.
Model names and logos are trademarks of their respective owners; shown to indicate compatibility, not partnership.
We build the warehouse; you run it.
The warehouse is built in your own cloud account and handed over with an operator runbook — refresh schedules, a failure playbook, and how to add a source, a field, or a dashboard. Your team can run and extend it without us.
We're a build partner, not a managed-data service: we don't sit between you and your numbers. Where DACH compliance applies, the dictionary and architecture carry DSGVO and EU AI Act notes from the start, not bolted on after.
You walk away with
- The warehouse, in your own cloud
- Connectors, identity model, and dictionary
- An operator runbook and a trained team
See the data layer from your seat.
Scoped to the win, owned by you.
There's no price tag here on purpose. The warehouse is scoped to the win in front of you — as narrow as the use case allows, broadened only when you need it. It lives in your cloud and ties out to source. Book a call and we'll tell you the smallest data step that unblocks your win.
Find the facts your AI is missing.
Every quarter on numbers that don't agree is a quarter of AI answers no one can defend — and decisions made on a guess. Solid ground is the cheapest thing to fix first.
Book a discovery call — a short, no-obligation conversation. You'll leave knowing whether a data layer is your bottleneck, the smallest step that unblocks it, and what it would cost.