The same data re-keyed into two or three systems. Schedules and dispatch built by hand. People walking the shop to look something up. None of it shows up as a line item, so nobody ever cuts it.
We automate the repetition and give the hours back. AI under the hood handles the messy real cases. The work runs on top of the systems you already use, and your team logs into nothing new.
A finding, not a pitch. You keep the roadmap either way, no obligation.
You are not short-staffed. You are mis-staffed against tasks a machine should own.
The cost is distributed across people and days, so it never lands as one number. It is salaried, so it arrives as "busy" and "behind," not as an invoice. And it is normalized, because the person doing it is good at it, so nobody asks whether a person should be doing it at all.
Ranges we see in the field. We measure your actual numbers in the roadmap.
| Workflow | What it looks like | Typical weekly recovery |
|---|---|---|
| Re-keying | The same data typed into two or three systems | 6 to 10 hrs |
| Chasing | Scheduling, confirmations, follow-ups, status | 5 to 8 hrs |
| Looking things up | Inventory counts, order status, records | 3 to 6 hrs |
| Formatting | Invoices, quotes, reports, packing lists | 2 to 4 hrs |
No rip-and-replace, no big-bang switch on a critical workflow.
We sit down for about 45 minutes, walk your real workflows, and quantify what the manual work is costing you in hours and dollars per year.
We build the automation in a sandbox, connect it to the tools you already run, and cut over in phases with rollback.
We train your team, hand off a plain-language runbook, and document the hours actually recovered against a locked baseline.
That is a free 45 minutes to find out, and the roadmap is yours to keep.
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