Ready to level-up your business?
Data Readiness
Most companies' data sits in five to ten systems that don't agree. We connect them, build one warehouse around how your business works, and keep it running, so your reports and your AI tools give the same answer.
Get your data ready for AI.
AI tools are only as good as the data behind them. When the numbers live in a CRM, an accounting package, spreadsheets and a few other systems, questions that cross them take days or go unanswered, and an AI tool plugged straight into each system gives inconsistent answers. We give you one place where your data agrees.
-
Scope
We map your systems and the questions you need answered.
-
Build
Read-only connections to your systems, and a warehouse designed around your business. Where sources conflict, we ask.
-
Check
Every load is reconciled, and every change is tested before it reaches production.
-
Run
We keep it in sync, fix pipelines when your systems change, and add new ones as you grow.
What you get.
- One source of truth Documented, and built around how your business works.
- Answers across systems In the AI tools you already use.
- Access down to the row So AI doesn't show everyone the payroll.
- History kept So you can compare one period with another.
Tables
Production warehouse · last sync 06:00
| Table | Source | Rows | Access |
|---|---|---|---|
| customers |   | 12,480 | All staff |
| invoices |  | 96,415 | Finance |
| payments | | 88,102 | Finance |
| orders |  | 141,377 | By region |
| staff |  | 214 | HR only |
Access is checked on every row: a regional manager sees only their region's orders.
Where your company’s data should live
Who sees what once AI is plugged into your company’s data, why a login screen isn’t security, and whether you still need engineers when AI writes the code. With Josh Bruton.
Common questions.
Do you change our systems?
No. We connect to them read-only and copy the data into the warehouse. Your systems keep working as they do today.
What happens when one of our systems changes?
We keep the warehouse in sync, fix the pipelines when your systems change, and add new sources as you grow.
Who gets to see what?
Access is set down to the row, so each person, and each AI tool working for them, only sees the data they're allowed to.
How do we know the numbers are right?
Every load is reconciled against the source systems, and every change is tested before it reaches production. Where sources disagree, we ask you which one is right.
Something else? Ask us.