Facilities management
Work-order automation for facilities management
Facilities work runs on work orders, and work orders still get re-typed by hand between the platform that sends them and the system that schedules them. I build the pipeline that does the re-typing perfectly, every time, and the dashboards that show how the work is actually going.
Where the money leaks
Manual re-entry, every single day
Orders arrive in one system and someone re-types them into another. That is payroll spent on copy-paste, plus the occasional typo that becomes a missed job.
Strict formats punish small errors
Field-service systems want their import exactly right: column order, encodings, codes. One malformed row and the batch fails, usually discovered late.
Technician performance is a feeling
Who closes jobs fast, where incidents cluster, who misses shifts: without a dashboard it is anecdotes, and staffing decisions get made on anecdotes.
What I build for facilities management
Automated work-order ingestion
A pipeline that parses each incoming order from email, converts it into the exact import format your system requires, uploads it, polls for success or error, and logs every order. No human in the retype loop.
Delivery verification built in
The pipeline does not fire and forget. It confirms every upload was accepted, and failures alert immediately instead of surfacing as a missed appointment days later.
Technician performance dashboard
Metrics, incidents, and attendance in one admin view, so performance conversations happen with numbers on the table.
Proof, not promises
Running in production for a US facilities-services company: email parsing into a strict 28-column CSV, FTPS upload, success polling, full logging. The client, Conor S. of LPM Services: “Tim automated a portion of our workflow that will save my team days by the end of the year.”
Read the full case studyCommon questions
Our platform has no API. Is that a dealbreaker?
No. The production system above works with a platform that only accepts CSV over FTPS. Email parsing, strict file formats, and legacy transfer protocols are workable surfaces; the pipeline adapts to whatever your system accepts.
What happens when the work-order format changes?
The pipeline validates every order against the expected format, so a change on either side shows up as a clear error with an alert, not as silently corrupted imports. Adjusting the mapping is a contained fix, and under an operator retainer it is my job, not yours.
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