Request intake, cleaning and maintenance scheduling, technician dispatch, work logs and invoicing — AI agents take over the routine. Picture how your company runs today — and how it runs after deploying Enter.
Built on Microsoft Copilot + Anthropic Claude · Microsoft Solutions Partner
Toggle and compare: same operations, a different day.
A day at a facility company kicks off with a phone call: a burst pipe, the hall lights are out, the elevator is down. The dispatcher taps the call into a spreadsheet or onto a sticky note, then rings around the technicians to find out who's free and who's closest. Requests come in by email, WhatsApp, phone and at reception — and then it's a hunt to figure out whether anyone has even picked it up, or whether it slipped through the cracks. In the evening the technician hand-writes a work log, mostly from memory and with times guessed too, so invoicing goes out a week late and part of the work done never gets billed at all. The SLA on paper promises a four-hour response, but nobody tracks in real time whether you're meeting it until a furious client shows up. And regular service and inspections get scheduled by whoever happens to remember, not by when they're actually due.
With Enter, dispatch stops depending on who remembers what and who happens to pick up the phone. Requests land in one place, sort themselves by priority and SLA, and technicians get a clear assignment instead of back-and-forth. You see in real time what's on fire, what's on track and what's ready to invoice — and you decide based on data, not on the last angry phone call.
The agent extracts the request from email, phone or form, works out what it's about and how urgent it is, and creates the job in the system. Nothing falls through the cracks and the dispatcher doesn't manually retype what someone dictated.
The agent proposes which technician is closest, free and has the right qualification, and builds the day's route. The dispatcher just confirms or reshuffles — instead of half an hour on the phone, the plan is ready in a few seconds.
The agent tracks every job against the agreed response time and flags it in time, before the deadline starts to burn. You stop paying penalties for missed SLAs and the client doesn't find out before you do.
The technician dictates or photographs what they did, and the agent turns it into a clean work log with times and materials. No more evenings spent writing it up and no work done that gets forgotten on the invoice.
The agent matches logs, materials and contract rates and prepares the invoicing basis right after the job is done. Invoices go out in a few days instead of three weeks and the money hits your account sooner.
We don't start with a tool, we start with your operation. The same loop as for every company — just tailored to your sector.
We map request intake, scheduling and dispatch live. We find where AI earns the most.
Technicians and back-office learn AI on their real tasks — flipped-classroom style.
We deploy agents for request intake, scheduling, dispatch and communication — connected to your systems.
We'll show you concretely what AI takes over at your company and what difference it makes — what AI takes over at your company and what difference it makes.