AI-native facilities services, from the work order up.
Work orders, service delivery, and multi-site operations, rebuilt around AI, not bolted onto it.
Get StartedTHE ADOPTION PICTURE
65% of business leaders use AI for facility operations, most of it in one tool.
That gap is where a missed maintenance date turns into an emergency call, and a coordinator loses an afternoon chasing sign-offs.
67%
of facility managers already say AI handles part of their day-to-day operations
Chase → automatic
work-order-to-invoice sign-off, the workflow Forward-Deployed Engineers targets first
40+
client sites a single Core engagement can unify under one operating layer
WHERE THIS FITS
Three ways in. Start with the one that matches where you are.
01NEURONY WIRE
Work orders and SLA reports, off the coordinator's desk.
Agents run on Claude to draft first-pass responses to client work order requests, turn technician route notes into consistent SLA compliance reports, and flag preventive maintenance dates before they slip into an emergency call.
SYSTEMS: Runs alongside your CMMS, Corrigo, UpKeep, Fexa, whatever you already dispatch technicians through.
02FORWARD-DEPLOYED ENGINEERS
Work order to invoice, without the sign-off chase.
An embedded pod rebuilds your work-order-to-invoice workflow end to end, verifying punch-list items and technician photos against each client's SLA before a ticket closes, and generating a ready-to-send service report and invoice instead of a coordinator chasing sign-offs across a dozen sites.
SYSTEMS: Wired into your CMMS and dispatch system, Corrigo, UpKeep, Fexa, whatever tracks your work orders today.
03NEURONY CORE
One operating layer, across every site you service.
A Core engagement connects work orders, crew dispatch, client communication, and billing into one AI-native layer, so running 40-plus client sites stops meaning 40-plus separate manual processes.
SYSTEMS: Sits above your CMMS, Corrigo, UpKeep, and your dispatch and billing tools, replaces none of them.
PROOF
This is already happening in facilities management. One provider's story, told progressively.
See it before you commit.
Ready to get started?
Tell us where your AI adoption is today, we'll tell you what the right first step is.