Messy sources in. One trust layer out.
Every engagement follows the same five stages. When it is done, dashboards, exports and AI all point at the same numbers.
You have data. It disagrees with itself.
Every platform, spreadsheet and export follows its own naming rules. Three people asked for the same number bring back three different answers. Dashboards drift, and nobody trusts the top line.
Everything lands in one place, on a schedule.
Each source is pulled in automatically, into the warehouse you already run. Nobody exports a file by hand. When a feed breaks you hear about it before the meeting rather than during it.
Raw tables become one shared definition.
Naming is made consistent, joins are written down, and checks run against every refresh so drift shows up the day it starts. One definition of spend, one definition of a customer, one place to change either.
Clean tables land where your tools already look.
Reviewed, checked and versioned tables sit in the warehouse your team already queries. When someone asks for a number, the answer comes from the same table the dashboard is reading.
Dashboards, exports and AI read the same tables.
Whatever your team already uses stays in place. Each one points at the trust layer, so the number in a board deck matches the number in an export, and matches what an AI tool reads back.
Your pipeline , end to end
01 / 05 · The messWant this in your warehouse?
Every engagement starts with a short call and a rough scope. Four to eight weeks is typical for a full rebuild. Audits and one-off cleanups can be shorter.