“My people burn hours moving numbers by hand.”
Data Automation
Clean data captured where the work happens, and action taken on what the numbers show.
Two directions.
Good data out
The observer catches the change, tells the right person, and drafts the response for their approval.
What you look at
The governed layer
Every metric defined once, tested, reconciled to its source, and signed by a person.
What you already run
Good data in
Automation inside the tools your team already works in, so the right data gets captured while the work is happening.
Good data in
The attribution engine
Every lead, meeting, and deal stamped with where it really came from, modeled in your own warehouse instead of trapped in one tool's reporting. If you are spending real money on marketing and still guessing which spend brings customers worth keeping, this answers that.
Good data out
Nothing sends itself
The follow-up, the flag, the reorder note, the board pack: they arrive built and waiting for a person to approve them. You keep the decision and lose the preparation time.
Where the hours actually go.
Someone rebuilds the same spreadsheet every Monday.
Someone retypes numbers between two systems.
Someone chases three people for fields that should have been filled in already.
That costs twice: the hours you pay for, and the hand-copied data that makes every report downstream a little less believable.
Priced by the workflow.
We agree what gets automated and what it replaces before the work starts, at a fixed price. Most start with one painful workflow rather than all of them. How an engagement flows →
Stop paying people to move numbers.
Start with the free roadmap, or book a call and walk us through the workflow that eats the most time.