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Service · AI field service management

digiField360.ai: fix it first time. Never miss an SLA.

Intelligent dispatch, a technician app that coaches during the job, and WhatsApp-first customer updates — in one AI-native system built for service teams in India and Southeast Asia.

AI dispatchNeuraCoach · 10 languagesSLA engineWhatsApp CX

Design your service pilot

Tell us a little about your team — we'll tailor the session to your operation.

One platform · three intelligence layers

Dispatch. Execute. Delight.

Dispatch layer

Every job assigned to the right technician — by skill, location, SLA urgency and spare-parts availability — in real time. No more manual dispatch boards.

Execution layer

Technicians get AI-guided job cards, step-by-step repair instructions, parts lookup and a personal coach — on mobile, fully offline.

Experience layer

Customers get arrival alerts, technician photo, service report and feedback on WhatsApp. Managers get live SLA dashboards and AI insights.

AI dispatch engine

Right technician, right job, every time

Jobs arrive from your customer portal, WhatsApp, IVR or internal systems. The engine assigns them in seconds — and shows the reason for every assignment.

  • SLA category and priority auto-assigned on creation
  • Skill and certification matching, weighted by first-time-fix history
  • GPS routing that minimises total travel across the day
  • Spare-parts check before assignment, with warehouse pickup flagged
  • Jobs close to breach promoted automatically
1Job created — SLA tier and priority set by AI
2Skill match against technician certifications
3Location, traffic and planned jobs considered
4Parts availability verified
5SLA urgency prioritised
6Auto-assigned; customer gets name, photo and ETA
Technician app

Coaches the technician during the job — not after the failure

Offline-first for telecom sites, factory floors and warehouses with poor connectivity.

Accept & navigate

  • AI ETA on real traffic
  • Pre-arrival WhatsApp to customer
  • Parts checklist before departure

On-site diagnosis

  • AI-guided fault diagnosis tree
  • Visual references from similar jobs
  • Second-visit risk escalation

Repair

  • Step-by-step instructions
  • Parts substitution lookup
  • One-tap video call to a senior tech

Close & document

  • Photo / video proof & signature
  • Service report auto-generated
  • Parts consumed auto-deducted
NeuraCoach · AI technician coach

Every technician gets a personal coach on WhatsApp

Before the job, during the job and after every call — in the technician's own language. No extra app to install.

  • 10 Indian languages: Hindi, Kannada, Tamil, Telugu, Marathi, Bengali, Gujarati, Punjabi, Malayalam and Odia
  • Personalised: knows each technician's skill gaps and most frequent failure modes
  • Skill-gap detection triggers micro-learning for job types they're often assigned
  • Privacy by design: managers see skill trends, not individual conversations
Before"Next job: dish alignment. Last visit showed a loose LNB mount — check that first. Carry a 10 mm spanner."
On site"No signal on a clear day — most likely an LNB fault. Check LNB voltage first."
After"First-time fix ✓. Tip: explain what you replaced — it lifts NPS."
SLA engine

Act before a breach, not after the penalty

SLA countdown per job

Green, amber and red — visible to technician, dispatcher and manager at the same time.

2-hour breach prediction

AI predicts which jobs will breach in the next two hours from location, job duration and traffic.

Auto-reallocation

When breach risk crosses your threshold, the job moves to the nearest available technician, with manager notification.

Penalty accrual view

Live month-to-date SLA penalty exposure by contract, tier and region.

Customer SLA reports

Weekly compliance reports per account, sent by email and WhatsApp automatically.

Contract-specific tiers

4-hour response, 24-hour resolution, next business day — configured, not hard-coded.

1Booking confirmed — technician and time slot, reply to reschedule
2Technician en route — live location, photo, one-tap call
3Job started — expected completion time
4Service report — what was fixed, next service due
5One-tap NPS, invoice and Razorpay payment link
Customer experience on WhatsApp

Zero customer effort. Full transparency.

No app download for your customers. The whole journey — booking to NPS — runs on WhatsApp, which ends the "where is the technician?" calls.

  • Voice queries in Kannada, Tamil, Hindi and more
  • NPS of 3 or below escalated to a supervisor within 15 minutes
  • Payment links built into the service summary
6 autonomous AI agents

Service operations that run themselves — with your oversight

Intelligent Dispatch

Assigns every new job and reassigns automatically when technicians are delayed.

SLA Watchdog

Monitors every open job, triggers reallocation and updates the customer if delay is unavoidable.

Parts Demand Signal

Predicts stock-outs from parts consumption and raises a purchase request to the warehouse.

First-Time-Fix Improvement

Finds technicians below the team's FTF rate and assigns coaching and ride-alongs.

Customer NPS Recovery

On a low score: supervisor alert, re-visit scheduled within 24 hours and service credit applied.

Service Analytics

"Which engineer has the most repeat visits in Bengaluru this month?" — answered with live data.

Built for four service industries

Where digiField360.ai fits best

Telecom & broadband

ISP, DTH and fibre installers — guided installs, SLA tiers and WhatsApp ETAs.

Consumer electronics

AC, TV and appliance repair — AI diagnosis, parts demand signal and NPS on WhatsApp.

FMCG service & equipment

Coolers, vending and cold chain — preventive maintenance and asset health tracking.

Industrial & infrastructure

Plant maintenance, power, elevators, HVAC — IoT-driven maintenance and compliance records.

Pilot with 20–30 technicians in 6 weeks

One service zone, three agreed KPIs — first-time-fix rate, SLA compliance and technician utilisation. Mid-size go-live in 10–14 weeks. Salesforce Edition (on Salesforce Field Service + Agentforce) or Open Source Edition (with IoT / MQTT integration). Priced in rupees, per technician.

Pilot first · decide on data

See your reps, distributors and technicians on digiFrontline — before you sign a full contract.

Start with a 60-minute discovery call. We design a 4–6 week pilot in one territory, agree the KPIs, and you decide on real results.

Start with a 4–6 week pilotBook demo