Field services
AI automation for field-service companies
Field-service companies live between systems that don’t talk: the client’s platform, your dispatch software, your spreadsheets. The gap gets bridged by someone re-typing work orders at a desk. That bridge is exactly what I automate.
Where the money leaks
Work orders re-typed by hand
Every order arrives in one system and must exist in another. Manual re-entry is slow, error-prone, and stops when the office does.
Legacy formats block integration
Your dispatch system wants a very specific file in a very specific encoding via a very specific protocol. That’s why “just connect them with Zapier” never worked.
No visibility on technician performance
Incidents, attendance, and metrics live in scattered sheets. Reviews happen on gut feeling.
What I build for field services
Work-order ingestion pipeline
Watch the inbox, parse each order, generate the exact file format your system demands (however strict), deliver it, verify processing, and log everything for audit. Runs unattended.
Format & protocol bridges
FTPS, fixed-column CSVs, legacy encodings, polling for success/error responses: the unglamorous integration work that makes two incompatible systems behave like one.
Operations dashboards
Technician metrics, incidents, and attendance in one place, with an admin panel your office team actually uses.
Proof, not promises
In production for a US facilities-services company: email → parsed order → strict 28-column CSV → FTPS delivery → verification → audit log. Their words: “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 software vendor has no API. Is that a dealbreaker?
Usually not. File-based interfaces, email parsing, FTPS drops: production integrations get built against far worse than a missing REST API. The case study above had exactly that constraint.
How fast would something like this go live?
A pipeline of this shape fits a single fixed-scope build sprint: live in production in 2-4 weeks, tested end-to-end, with the final invoice due only when it runs.
Find the leaks in your operation.
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