IndiaAutomotive — commercial vehicle OEMScale · $100K
Ashok Leyland

For a truck operator, every hour off the road is money — an agent that gets the vehicle back faster is a product feature

Give Ashok Leyland an agentic uptime and network layer: breakdown-assist intake, service scheduling, parts-availability answers, and dealer support in the languages its driver and operator base actually speaks — turning uptime promises into instrumented conversations.

Entry use case
Breakdown assistance & service-status conversations
Expected outcome
Faster breakdown-to-resolution cycle with proactive status to the operator; reduced repeat calls; measured uptime improvement per fleet account.
Recommended next step
Corridor pilot: vernacular breakdown intake and proactive repair status on one freight corridor for 90 days, measured on cycle time and repeat-call volume.
What we understand

Ashok Leyland's operating reality

Flagship Hinduja-group CV maker; India's #2 in medium/heavy trucks with ~31% MHCV share and a leading bus franchise, plus Switch Mobility for electric buses and e-LCVs.

Public fact

FY26 was a record year — all-time-high CV volumes (~220,000 units), record revenue, and profitable EV subsidiary performance — publicly celebrated by management.

Public fact

Runs uptime-oriented service propositions (24×7 assistance, service networks along freight corridors) because operator economics punish downtime directly.

Public fact

Breakdown and service-status conversations likely run through call centers and dealer phones in Hindi/English while drivers on corridor routes speak Tamil, Telugu, Punjabi, or Bengali.

Reasoned inference

Fleet customers likely judge OEMs on how service events are handled — status opacity during a repair generates repeated calls up the relationship chain.

Reasoned inference

Validate with the account team before outreach: Current assist-desk volumes, language mix, and repeat-call rates · Telematics and DMS API readiness for status grounding · How uptime commitments are contracted with fleet customers today

Build vs buy

Why we have a right to win here

Buy-led target

Limited internal ability or appetite to build the core platform — strong candidate for the packaged solution

Evidence: Engineering strength is vehicles and powertrains; digital initiatives (telematics, dealer systems) are vendor-delivered, and there is no internal conversational-AI capability — a packaged platform integrated to existing systems is the natural form.

Why they won't build the full stack: A CV OEM will not build speech, telephony, and evaluation infrastructure; it buys proven capability that makes its existing uptime investments conversational.

What management is signalling

FY26 delivered record CV volumes (~220,000 units), record revenue, and strong bus and EV momentum

Reported factQ4 FY26 earnings call · May 2026

GTM implication: A record parc entering warranty and service years makes after-sales capacity the next operational constraint — automation scales it without headcount

Management continues to emphasize margin discipline and non-cyclical revenue (spares, services) growth

Inferencerecent investor communications (validate) · mid 2026

GTM implication: Instrumented uptime conversations directly support the aftermarket revenue line management wants to grow

What already exists (don't pitch this)
  • 24×7 assistance program
  • Telematics across modern parc
  • Dealer/service network with DMS
  • Customer app presence
What customers still can't do end-to-end (pitch this)
  • →Assist intake phone-script-bound, language-limited
  • →Repair status pulled by repeated calls, not pushed
  • →Dealer parts/warranty queries wait on callbacks
  • →Fleet service scheduling manual
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Breakdown-assist intake & proactive repair status
Vernacular breakdown intake with location capture, nearest-workshop dispatch coordination, and stage-by-stage status pushed to driver and fleet owner alike.
A stranded truck bleeds the operator's revenue hourly; intake speed and status transparency are the service brand.
Friction today: Driver calls a hotline, explains location and symptoms in his language to an agent working a script in another; the operator then calls repeatedly for status nobody pushes.
VoiceWhatsApp
Dealer & parts network support
Instant grounded parts-availability, order-status, and warranty-procedure answers in the dealer's language; claims guided in-flow.
Workshop turnaround depends on parts availability answers and warranty clarity that today wait on regional-office callbacks.
Friction today: Dealer staff chase parts status by phone; warranty claims bounce on documentation; scheme details propagate unevenly.
WhatsAppVoice
Preventive-service scheduling for fleets
Proactive service-due conversations at fleet level with slot coordination across workshops; compliance and retention measured per account.
Scheduled maintenance protects uptime and parts revenue; fleet-level coordination beats vehicle-by-vehicle phone tag.
Friction today: Service-due tracking is spreadsheet-and-phone work between fleet managers and workshops.
WhatsAppVoice
Watch the change

Breakdown assistance & service-status conversations: today vs the agentic model

Scenario: A driver stranded near Salem reports a coolant warning in Tamil at 6 am; the nearest workshop is dispatched, and his Chennai fleet owner watches repair status update without making a single call
Today
same interaction, two worlds
Agentic layer
Dealer query resolution
next-day via email
in-conversation
Platform capability
Cost per contact
$13.50 median assisted
$1.84 median self-service
Benchmark
QA coverage
1–2% sampled
100% scored
Platform capability
Sources & assumptions
  • · Dealer query resolution: Process design: live ERP grounding
  • · Cost per contact: Gartner customer service cost benchmarks, 2024
  • · QA coverage: Platform capability: every interaction logged and evaluated
  • · Gartner, customer service cost benchmarks (2024): $13.50 median assisted vs $1.84 self-service per contact
  • · McKinsey, digital-first collections research: 20–25% NPL reduction among leaders; up to 40% opex reduction with gen AI
  • · Baymard Institute: ~70% average cart abandonment (meta-analysis)
  • · IAMAI–Kantar via IBEF (2025): 900M+ Indian internet users; 98% consume Indic-language content
  • · LeadSquared and vendor funnel studies: 78% of students choose the first institution to respond (directional, vendor data)
  • · HDI / ITSM operator benchmarks: $15–25 per L1 ticket; 40–60% of L1 volume is resets/status (validate per customer)
  • · Conventional-flow wait times and volumes are typical operator patterns — assumptions to replace with the customer's own baseline
  • · Agentic-flow behaviors (context retention, 100% logging, in-line policy checks) are platform capabilities, not projections
Recommended solution

One integrated stack, opinionated for this account

Channels · Tilicho Labs
VoiceWhatsApp

Voice & channel orchestration, telephony, conversational execution, session/state, routing, integration build. Capability coverage validated during implementation.

Intelligence · Google Cloud
Gemini reasoningEnterprise groundingWorkflow agentsMulti-agent orchestrationGoverned actionsEvaluation & analytics
Systems · Ashok Leyland
Assistance dispatchTelematicsWorkshop/DMSParts ERPWarranty workflowDealer portalService schedulingDMS

API access to these systems is the critical-path dependency.

Trust & languages
HindiTamilTeluguEnglishMarathiPunjabi

Identity-bound sessions, policy-bounded actions, 100% audit logging, human approvals at defined points, in-tenant intelligence.

Business case

The economics, with your numbers

Addressable monthly interactions700K
Seller assumption — replace in discovery
Current cost per interaction ($)$1.1
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$770K
Current operating cost / mo
$3.5M
Modelled gross benefit / yr
0.3 mo
Payback on Scale
208%
3-yr ROI (modelled)
Automated/assisted interactions per month385K
Modelled AI run-cost per month (usage + cloud, system estimate)$135K
New monthly operating cost$481K

All figures are modelling estimates from the labeled inputs above — nothing here is customer-provided yet. The pilot's first job is replacing these assumptions with Ashok Leyland's measured baseline. Package price covers implementation only; recurring usage billed separately.

Recommended package

Scale — $100K implementation

Scale · $100K · A multi-channel production deployment10–14 weeks to production across priority workflows

Why this package for Ashok Leyland: Two-three workflows (breakdown assist, service status, dealer/parts support) with telematics, DMS, and parts-system integration — scale scope aligned to a network-wide rollout after one-region proof.

Included
  • 4–6 channels
  • 2–3 priority workflows
  • Multiple enterprise integrations
  • API credential & security setup
  • Advanced orchestration
  • Multilingual support
  • Agent Assist / human escalation
  • Production analytics
  • Expansion roadmap
Not included
  • ✕Usage & consumption (billed separately)
  • ✕Enterprise-wide governance build-out
  • ✕Multi-BU rollout
Recurring costs (separate from the package)

Packages cover implementation and integration only. Recurring costs are billed separately: Tilicho Labs platform usage (~$0.15/call-min indicative, usage only), Google Cloud consumption, telephony/carrier charges, managed operations, and support & optimization. No package includes unlimited usage.

Customer resources required
  • · API access + credentials for: Assistance dispatch, Telematics, Workshop/DMS
  • · A named business owner for breakdown assistance & service-status conversations
  • · Security review counterpart and policy sign-off (Assistance dispatch scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“Record volumes mean a record parc to support; uptime delivered conversationally, in the driver's language, is the after-sales moat that defends share through the next CV cycle.”

CIO / CTO

“This grounds on telematics, DMS, and parts systems you already run — one conversational layer replacing phone-tag across the assist and dealer estate.”

COO

“Breakdown-to-resolution time drops when intake is structured and status is pushed; repeat status calls stop consuming assist-desk capacity.”

Head of Aftermarket & Customer Support

“Uptime becomes a measured, per-fleet metric with every service event instrumented — the strongest possible renewal and AMC sales argument.”

Chief Risk / Compliance Officer

“Every assist and warranty conversation logged and scored — consistent process across the network instead of dealer-by-dealer variance.”

CFO / Procurement

“Pilot on one corridor: measure breakdown cycle time, repeat-call suppression, and AMC attach — hard operational numbers before network-wide commitment.”

Outreach

Pre-built offer emails for Ashok Leyland

Written from this account's own research — the strategic signal, the capability gap, the entry workflow, and the modelled economics — not a mail-merge template. Pick the moment and the persona, edit anything, then copy or open in your mail client.

Moment in the deal
Cold outreach — no prior conversation
Who it's addressed to
Cares about: The workflow itself and its daily failure modes
Register
Length
Draft — edit freely before sending
Open in mail client

Customer-safe by construction: drafts are composed only from customer-facing fields. Account tier, build-vs-buy classification, priority score, internal routing, and partner-commercial detail are not inputs to the composer, so they cannot appear in a draft. Money figures are always framed as modelled from the customer's own volumes. Read before sending — you own what goes out.

The pursuit

Tier 2 — high-potential incubation

Why this tier

Hinduja-group CV major (India's #2 in trucks and buses, record FY26 volumes) whose customers are fleet operators for whom vehicle downtime is direct income loss — uptime support, dealer/service coordination, and driver-facing conversations are the operational product.

Recommended next step

Corridor pilot: vernacular breakdown intake and proactive repair status on one freight corridor for 90 days, measured on cycle time and repeat-call volume.

Entry: Breakdown assistance & service-status conversations · Scale package · 10–14 weeks to production across priority workflows. Human fallback throughout; success thresholds agreed before build.

Start the pursuit

Research-based priority-account universe assembled from public information, market scale, communication volume, and solution fit. This is NOT an authoritative list of top Google Cloud customers; existing Google Cloud relationships are noted only where publicly reported. Validate every account with the account team before outreach.