A system that is running today
Work orders that
nobody re-keys
It is the most common process nobody calls a problem, because it works: work orders arrive by email, and every morning somebody types them into the system that needs them. It genuinely does work. It just costs more than any report shows, and the cost is invisible because it is spread across a person’s whole morning.
What the built version does, step by step
One that runs in production: incoming work orders are parsed out of the email, converted into the exact 28-column format the field-service system requires, uploaded over secure file transfer, polled for success or error, and every single order is logged. The parsing is the obvious part. The polling is the part that matters, because it is the difference between a pipeline that works and a pipeline you can trust: the system knows whether an order landed, and it says so when one did not.
The three places these projects fail
Inconsistent inbound formats: five customers sending five different email layouts is solvable, but it is work, and anyone who leaves it out of the quote will bill you for it later. Edge cases: the order with a handwritten note, the one with a special rate. A good system recognises those and puts them in front of a human instead of guessing. And the destination: whether the target system has a documented interface, a database, or only a file import decides roughly half the effort. That is why the fixed price comes after looking at the real systems, not before.
What becomes possible afterwards
Once orders are structured data instead of inbox contents, more changes than the typing time. You can see how many orders arrived in which week, which customer orders what volume, and where orders sit unprocessed. None of that was impossible before. It was just expensive enough that nobody did it.
What the manual version costs per year
One person entering 40 work orders a day at 4 minutes each. Assumptions visible, figures rounded down:
| Orders per week | 5 days x 40 = 200 |
|---|---|
| Time per week | 200 x 4 minutes = 13.3 hours |
| Time per year | 13.3 x 46 working weeks = 610 hours |
| Cost per year | 610 x $50 loaded hourly cost = $30,500 |
| Share removed for this process type | about 90 percent = $27,400 per year |
| One-time build | from $6,900 fixed scope |
| Payback | roughly four months |
Deliberately excluded: the cost of orders entered wrong, deliveries missed, and the calls that follow. For this process those are usually larger than the typing time, but they are not measured in your business, so they do not belong in the total.
Common questions, answered straight
Our orders arrive as PDFs, not structured files.
That is the normal case and it is solvable. Document capture carries its own error rate, so I plan it more conservatively: roughly 85 percent of the manual work goes away rather than 90, and anything uncertain goes to a human for review.
What if our destination system has no API?
There is almost always another route: file import, database access, or in the worst case a driven interface. Which one holds up is something I can only tell after looking at the real system, which is exactly what separates the free outside-in teardown from the paid audit.
How fast can this be live?
A first scope is usually in production within two to four weeks. As a reference for the pace that is possible: a module requested during a client call was live the next day with 54 of 54 tests green.
What happens if it fails at three in the morning?
The system logs every run and reports failures instead of swallowing them. Why that matters: on another platform, nightly backups silently did not run for months because nobody was looking for the absence of a message.
Related reading
How many work orders does your team re-key?
Tell me the count and the minutes and I will do the arithmetic. Within 72 hours you get it in writing: what the process costs per year, what it would cost, and when the rebuild pays for itself.
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