Equipment moves booked from request to site
Books lowboy moves from superintendent requests, flags oversize loads for permits or escorts and texts both supers the pickup and arrival times.
Equipment moves run on phone calls and memory.
Requests come by text, radio and hallway conversation. Someone has to match a lowboy and driver, check whether the load needs a permit or escort, and tell both sites. Missed moves leave crews standing around at full pay.
A superintendent texts at 5:30 pm that he needs an excavator moved to a new site by 7 am. The equipment manager is on the phone with three drivers, and the permit office is closed.
Equipment move scheduling, step by step.
The agent does the work inside your systems. Your team approves what matters.
- 1
Log the request
Captures the unit, from and to sites and need-by time from texts, calls and emails.
- 2
Book truck and permit
Assigns a lowboy and driver, and flags loads over legal size for a permit or escort.
- 3
Confirm both ends
Texts both superintendents the pickup and arrival times and updates the equipment location.
Your team keeps the judgment calls.
The agent takes the repetitive work. People approve, decide and talk to customers.
- No move request lost in a text thread
- Oversize loads permitted before they roll
- Equipment location always current
Works inside the systems you already run
Before you ask.
Books lowboy moves from superintendent requests, flags oversize loads for permits or escorts and texts both supers the pickup and arrival times. It works in three steps: log the request, book truck and permit and confirm both ends.
It works inside the tools your team already uses, including text messaging, equipment tracking, telematics and calendar. Nothing to rip out and nothing new to learn.
It starts in shadow mode, drafting the work for your team to approve or correct. You decide what it handles on its own, and every action is logged.
Your data is used only to run the workflows you approve. We do not use your proprietary data to train public or unrelated AI models.
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Start with one agent.
Pick the workflow that hurts most. We'll scope it on the first call.