For OEMs, managed-service providers and banks running multi-vendor ATM fleets. Faults raise their own tickets from the switch, AI agents chase the engineer, and every fix closes with proof the bank can open.

Noticing the fault, raising a ticket, finding an engineer who can attend, getting the right spare there and proving the machine works again. Fieldor takes the waiting out of each step.
Fieldor's agents do the chasing, logging and guiding that used to fill a coordinator's day. You decide which steps run automatically, which need approval, and who gets escalations.
Messages the assigned engineer on WhatsApp the moment a ticket is assigned. If the ETA goes quiet, it climbs the escalation ladder you set: retry, SMS, a voice call to the secondary custodian, then the zone head.
Weighs SLA, fault type, site importance, spares on hand and travel time to draft every engineer's day. Coordinators review it in minutes instead of building it for hours.
Walks the engineer through the fix for that fault on that model, such as a dispenser pick-module swap, so first-time fixes don't depend on who happens to be nearest.
Reads replies from vendors and partners and records them against the right ticket, so the trail stays complete without anyone copying emails across.
Device events from switch and monitoring feeds, QR reports and CRM calls land in one queue, de-duplicated and classified as FLM, SLM or any category you define.
Every agent action is written to the ticket's audit trail. Turn steps on, off or to "ask first" per client, zone and fault.
A dispenser fatal on the switch feed becomes an incident with the device, site and SLA filled in.
Chosen by training on that model, spare in the van and distance, with site access hours respected.
ChasePilot asks on WhatsApp and escalates if there's no reply.
Geofenced check-in at the ATM; FixMate guides the swap; spare scanned out.
Stamped in-app photos and a test withdrawal; failed part tracked back for repair.
SLA by zone, vendor and model, every number traceable to a visit.
Break-fix by call category, with SLA clocks that follow your contract and escalation rules per client, zone and fault.
PM schedules per model and site, and campaigns that push one job to hundreds of machines at once.
Stock by depot, engineer and site; parts scanned out against the ticket; the failed part returns with the same ID for the repair centre.
Big type, one job per screen, required photos per checklist step, geofenced check-in. Android and iOS, in English, Hindi and Portuguese.
ATM switch feeds over TCP/IP, multi-vendor monitoring agents, client CRM and ITSM by REST API and webhooks, SAP and ERP for spares and billing.
In-app photos stamped with site, coordinates and time and sealed on upload. Gallery uploads are refused; mock locations are detected.
9,800 ATMs across three countries. Tickets used to be raised from monitoring screens by hand and closed on an engineer's word. Fieldor connected the switch feed, automated ETA chasing and made photo evidence mandatory at closure.
“We stopped arguing about whether a visit happened. Every SLA dispute last quarter closed with a photo and a timestamp.”HEAD OF FIELD SERVICES
Run Fieldor in our cloud (India and EU regions), in your own private cloud, or on-premises inside your data centre, sized for 50,000+ sites. Role- and site-based access, SSO, an immutable audit trail and independent VAPT twice a year.
Fieldor is multi-vendor. Device status comes in from ATM switch feeds over TCP/IP and from multi-vendor monitoring agents, and each fault code is mapped to a ticket type. We map your switch and models during the first two weeks of a rollout.
Yes. FLM, SLM and any other call category you define each get their own SLA clocks, routing and escalation rules, per client and zone.
Only inside the rules you set. You choose which steps run automatically, which need approval, and who gets escalations. Every action is logged on the ticket.
Check-in fires on a geofence around the ATM, the device is bound to the engineer, mock locations are detected, and closure photos can only be taken in the app, stamped with site, coordinates and time.
One zone at a time, side by side with the old system: discovery in weeks 0–2, a pilot zone in weeks 3–6 and zone-by-zone rollout in weeks 7–12, with a forward-deployed engineer on hand and a rollback path kept ready.