ATM networks · OEMs · managed services

ATM field service that restores machines, not just tickets.

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.

37 minmedian down-to-restored
2.1 sswitch event to ticket
−38%repeat visits
Three ATMs in a glass lobby with an open toolcase, stamped PM 4/6
Where ATM downtime comes from

Most downtime is spent around the fix, not on it.

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.

WHAT BREAKS TODAY

  • Alerts retyped into tickets by hand, hours late
  • Engineers called three times for an ETA
  • Spares issued with no link to the fault
  • SLA penalties disputed with nothing to show

WHAT FIELDOR DOES

  • Switch and monitoring feeds raise tickets automatically
  • ETAs asked and escalated without a coordinator
  • Spares scanned out against the ticket, RMA closed on return
  • Every closure stamped with arrival, photos and time
AI agents on every ticket

The follow-up work runs itself, inside your rules.

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.

Meet the AI agents →

CHASEPILOT

Asks for the ETA, then chases it

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.

PLANNER

Drafts tomorrow's plan tonight

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.

FIXMATE

Guides the repair on site

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.

EMAILPILOT

Logs vendor replies

Reads replies from vendors and partners and records them against the right ticket, so the trail stays complete without anyone copying emails across.

ONE QUEUE

Every event becomes one clean incident

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.

YOUR RULES

Automation you can see

Every agent action is written to the ticket's audit trail. Turn steps on, off or to "ask first" per client, zone and fault.

One fault, start to finish

From switch alert to verified fix.

01 · DETECTTicket from the switch

A dispenser fatal on the switch feed becomes an incident with the device, site and SLA filled in.

02 · PLANRight engineer

Chosen by training on that model, spare in the van and distance, with site access hours respected.

03 · DISPATCHETA confirmed

ChasePilot asks on WhatsApp and escalates if there's no reply.

04 · EXECUTEArrival verified

Geofenced check-in at the ATM; FixMate guides the swap; spare scanned out.

05 · PROVEClosed with evidence

Stamped in-app photos and a test withdrawal; failed part tracked back for repair.

06 · REVIEWUptime you can trust

SLA by zone, vendor and model, every number traceable to a visit.

Built for ATM operations

Every kind of ATM work on one record.

INCIDENTS

FLM and SLM calls

Break-fix by call category, with SLA clocks that follow your contract and escalation rules per client, zone and fault.

PLANNED WORK

Preventive maintenance and campaigns

PM schedules per model and site, and campaigns that push one job to hundreds of machines at once.

SPARES

Depot to van to machine, and back

Stock by depot, engineer and site; parts scanned out against the ticket; the failed part returns with the same ID for the repair centre.

FIELD APP

Built for sunlight and gloves

Big type, one job per screen, required photos per checklist step, geofenced check-in. Android and iOS, in English, Hindi and Portuguese.

INTEGRATIONS

Wired to what you already run

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.

PROOF

Evidence the bank can open

In-app photos stamped with site, coordinates and time and sealed on upload. Gallery uploads are refused; mock locations are detected.

Customer result · Global ATM OEM, APAC

From disputed SLAs to closed-with-evidence, in two quarters.

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
88.1% within SLA96.4% within SLA
3.4 calls per ticket for an ETA0.6 calls
41% of closures with photos100% with photos

More customer results →

Built for bank auditors

Your data, where your bank needs it.

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.

Security & deployment →

Questions

What ATM teams ask us.

Which ATM models and switches does Fieldor work with?

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.

Can we keep FLM and SLM separate?

Yes. FLM, SLM and any other call category you define each get their own SLA clocks, routing and escalation rules, per client and zone.

Do the AI agents act without asking us?

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.

How do you prove an engineer was really at the ATM?

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.

We already have a legacy system. How do we move?

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.