IndiaAutomotive — two & three-wheeler OEMScale · $100K
Bajaj Auto

From Pulsar service reminders to Chetak charging questions to auto-rickshaw financing — one agent, every language the network speaks

Give Bajaj Auto an agentic layer across its dealer network and captive-finance arm: service and financing conversations for motorcycle and three-wheeler customers, EV inquiry handling for Chetak, and grounded dealer support — instrumented the way Bajaj measures everything else.

Entry use case
Service reminders & Chetak EV inquiry handling
Expected outcome
Service-retention lift, faster EV-lead conversion, and reduced dealer phone load — each measured per dealer cohort.
Recommended next step
Dual pilot: vernacular service reminders in one zone plus Chetak lead handling for one campaign, measured on booking conversion and lead-to-test-ride rate.
What we understand

Bajaj Auto's operating reality

Among the world's largest two- and three-wheeler makers; the most profitable Indian two-wheeler OEM with strong export franchises across Africa, Latin America, and Southeast Asia.

Public fact

Chetak is a leading electric-scooter line, and the company dominates Indian three-wheeler (auto-rickshaw) sales — a commercial customer base for whom the vehicle is a livelihood.

Public fact

Bajaj Auto Credit Ltd, its captive financing arm, began scaling vehicle finance from FY24 — creating in-house EMI, onboarding, and collections conversation volume tied to vehicle buyers.

Public fact

Three-wheeler buyers (driver-owners) need financing, permit, and service conversations in local languages; downtime is lost daily income, making service speed a livelihood issue.

Reasoned inference

A famously margin-disciplined management likely funds automation that shows per-unit economics quickly — and rejects anything unmeasured.

Seller hypothesis — validate

Validate with the account team before outreach: Bajaj Auto Credit's collections and servicing stack maturity and API readiness · DMS/lead-CRM landscape and who owns EV funnel metrics · Whether dealer or OEM funds service-retention automation and how economics are shared

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 excellence lives in vehicles and manufacturing, not software platforms; digital estate is vendor-built, and the margin-focused culture buys proven capability with hard ROI rather than funding internal platform bets.

Why they won't build the full stack: No OEM rationale exists for building speech and telephony infrastructure; the make-buy test Bajaj applies to every component applies here — buy the platform, own the data and the metrics.

What management is signalling

Management commentary highlights EV scale-up (Chetak), export recovery, and the ramp of Bajaj Auto Credit as strategic priorities

Reported factFY25 earnings commentary · mid 2025

GTM implication: Two of the three named priorities — EV funnel and captive finance — are conversation-infrastructure-dependent

Consistent emphasis on industry-leading margins and disciplined capital allocation

Inferencerecent investor communications (validate) · late 2025

GTM implication: Bring per-unit economics to the pitch: cost per retained service visit, per converted lead, per resolved EMI

What already exists (don't pitch this)
  • Bajaj Auto app ecosystem
  • Chetak EV app and charging partnerships
  • Dealer DMS estate
  • Bajaj Auto Credit scaling captive finance
What customers still can't do end-to-end (pitch this)
  • →Service reminders dealer-discretionary and unmeasured
  • →EV lead handling uneven across network
  • →Captive-finance servicing/collections capacity being built from scratch
  • →No vernacular conversational layer across the network
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Service reminders & booking (motorcycles + commercial 3W)
Vernacular reminders with in-thread booking including off-peak slots for commercial operators; retention measured per dealer.
For three-wheeler operators, a serviced vehicle is a working day saved; for the OEM, retained service is parts revenue and loyalty.
Friction today: Dealer reminder calls are ad hoc; commercial operators need early-morning or late-evening slots that phone-hours booking misses.
WhatsAppVoiceSMS
Chetak EV inquiry & test-ride conversion
Minutes-fast grounded EV answers and test-ride booking; lead-to-ride conversion instrumented per campaign.
EV purchase intent is question-rich (range, charging, subsidy); response speed and answer quality decide share against EV-native rivals.
Friction today: Leads from digital campaigns decay before dealer callbacks; answer quality varies with dealer EV training.
WhatsAppWeb chatVoice
Bajaj Auto Credit financing conversations
Loan onboarding guidance and policy-timed vernacular EMI conversations with payment in-channel — collections built conversational-first.
Captive finance converts showroom interest into sales; EMI reminders and onboarding for driver-owner buyers are livelihood-sensitive conversations.
Friction today: A young financier is building collections and servicing capacity from scratch; dialer-era patterns would import dialer-era costs.
VoiceWhatsApp
Watch the change

Service reminders & Chetak EV inquiry handling: today vs the agentic model

Scenario: An auto-rickshaw owner in Pune books a 7 am service slot in Marathi so he loses no fares, and gets his EMI reminder in the same thread two days later
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
WhatsAppVoiceSMSWeb chat

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 · Bajaj Auto
DMSService schedulingLead CRMTest-ride schedulingPrice/subsidy databaseLMSPayment gatewayDealer LOS

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

Trust & languages
HindiEnglishMarathiTamilTeluguKannadaGujarati

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 interactions1.8M
Seller assumption — replace in discovery
Current cost per interaction ($)$0.9
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$1.6M
Current operating cost / mo
$6.5M
Modelled gross benefit / yr
0.2 mo
Payback on Scale
155%
3-yr ROI (modelled)
Automated/assisted interactions per month990K
Modelled AI run-cost per month (usage + cloud, system estimate)$347K
New monthly operating cost$1.1M

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 Bajaj Auto'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 Bajaj Auto: Two-three workflows (service reminders, EV leads, dealer/financing support) with DMS and lead-CRM integration — scale scope, with Bajaj Auto Credit collections a natural expansion once the rails exist.

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: DMS, Service scheduling, Lead CRM
  • · A named business owner for service reminders & chetak ev inquiry handling
  • · Security review counterpart and policy sign-off (DMS scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

MD

“Bajaj wins on per-unit economics; conversational infrastructure that lifts service retention and EV conversion while its captive financier is still young compounds across every vehicle sold.”

CIO / CTO

“One layer grounds on DMS, lead CRM, and the new LMS — building Bajaj Auto Credit's customer conversations right the first time instead of retrofitting later.”

COO

“Dealer phone work becomes instrumented conversations; commercial customers get off-hours booking that keeps their vehicles earning.”

President — Probiking & EV

“Chetak leads get instant, accurate answers and a booked test ride — funnel conversion you can read per campaign, per city.”

Chief Risk / Compliance Officer

“Captive-finance collections start life fully logged, script-bounded, and RBI-conformant — no legacy conduct debt to unwind.”

CFO / Procurement

“Every workflow carries its own measurable line — retention revenue, lead conversion, collections cost — usage-priced against results, the way this house evaluates everything.”

Outreach

Pre-built offer emails for Bajaj Auto

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 1 — immediate strategic pursuit

Why this tier

India's most profitable two-wheeler maker and the world's largest three-wheeler producer, with the Chetak EV line, dominant motorcycle exports, and a new captive financier (Bajaj Auto Credit) — dealer, financing, and EV conversations converging on one network.

30 / 60 / 90-day plan
  • Day 0–30: Dual pilot: vernacular service reminders in one zone plus Chetak lead handling for one campaign, measured on booking conversion and lead-to-test-ride rate.; confirm sponsor and baseline data access; validate: Bajaj Auto Credit's collections and servicing stack maturity and API readiness
  • Day 31–60: architecture & security review with the platform team; Tilicho Labs scoping on WhatsApp + Voice; pilot scope signed
  • Day 61–90: Scale package kickoff; service reminders & chetak ev inquiry handling pilot in build; success thresholds locked with the President — Probiking & EV
Recommended next step

Dual pilot: vernacular service reminders in one zone plus Chetak lead handling for one campaign, measured on booking conversion and lead-to-test-ride rate.

Entry: Service reminders & Chetak EV inquiry handling · 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.