SERVIO is KPIT's AI-led aftersales intelligence platform that digitizes the entire aftersales service lifecycle — from service-due detection through diagnostics, workshop execution, parts and warranty to closure-and-learning — across the connected dealer–OEM network.
Today's journey is fragmented, reactive and interval-based — so failures, parts and claims leak value before anyone acts.
And regulation is closing in — EU Right to Repair and UNECE R156 make open, auditable diagnostics a mandate, not an option.
The same triggers and diagnostics engine, tuned to the value that matters most in each world — retention, uptime and machine availability.
Autonomous AI agents orchestrate workflows across existing systems, delivering predictive, automated and self-improving operations with zero rip-and-replace.
Closed-loop coverage from engineering diagnostics through end-of-line flashing to field service and back — the full loop, not a fragment.
Detect & engage
Telematics triggers and remote diagnostics start service before the customer ever visits — from a car, a fleet truck or a machine in the field.
摄入量
Fault codes, telematics and history fuse into one AI root-cause with known-fix reuse — automated job cards, zero re-keying.
Execute
Skill-based technician matching and demand-sensed parts in one connected flow, with live tracking on the floor.
Protect
Automated claim validation, approval and settlement — with stronger supplier QC, repeat-part tracking and chargeback recovery.
Learn & feed back
Every repair, failure and QC outcome feeds the next diagnosis and forecast — and flows upstream to engineering & design, closing the 360° loop across the network.
Autonomous agents across four working domains — connected to one orchestration core, learning as a single network.
Conversational booking, proactive outreach, service-advisor support, roadside assistance and retention — run autonomously.
Fault-code, telematics and service-history analysis powered by AI root-cause intelligence, with a technician co-pilot for guided diagnostics.
Claim validation, adjudication, quality tracking and recall management — automated end to end.
Demand-sensed parts, inventory, labour, estimation and logistics — coordinated in a single flow.
Greater vehicle availability, more first-time-right fixes, full transparency and lower cost of ownership.
Greater workshop efficiency, higher parts availability and higher parts revenue.
Lower warranty cost, stronger chargebacks and less leakage to the independent aftermarket.
The aftersales operating system for the connected dealer–OEM era.
All three — passenger cars, commercial vehicles and off-highway machines. The same platform adapts its service triggers, diagnostics and parts logic to the realities of each segment.
No. The platform sits as an orchestration layer over your existing dealer and OEM systems — DMS, OEM systems, telematics, parts and warranty — connecting them into a unified data layer without rip-and-replace.
Predictive AI agents execute and orchestrate service workflows in the background — acting and coordinating, not just reporting status or raising alerts.
A focused, outcome-anchored pilot goes live in 10–12 weeks through short sprints — from baseline and platform set-up to integration and priority-1 workflows — then scales across the network.
First-time-fix rate (to 95%+), parts availability, claims pass-through, vehicle dwell time, warranty cycle time and cost, and parts revenue — with targets scoped per client during discovery.
Every repair, failure and QC outcome feeds back through closed-loop learning to sharpen the next diagnosis, forecast and fix across the whole network.
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乘用车
卡车
非公路车辆
自动驾驶与高级驾驶辅助系统（ADAS）
车身电子
底盘
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