IndiaAuto OEM — PV & EVScale · $100K
Tata Motors

Tata Motors sells India on electric — every unanswered charging question is a petrol car sold instead

EV purchase decisions stall on range, charging, and cost-of-ownership questions no showroom fully answers; an agentic layer that converts EV curiosity into test drives, supports owners through charging anxiety, and standardizes lead handling gives Tata's EV franchise a conversion edge.

Entry use case
EV inquiry-to-test-drive conversion with charging-suitability guidance
Expected outcome
Engage every EV lead in minutes with personalized charging-feasibility and TCO answers, converting anxiety into booked test drives and measurably lifting EV funnel conversion.
Recommended next step
Pilot EV lead engagement with charging-feasibility guidance in three metro markets, A/B against standard dealer follow-up, with Tata Power charging data integrated.
What we understand

Tata Motors's operating reality

Tata Motors leads Indian EV passenger sales (Nexon EV, Punch EV, Tiago EV and successors) and completed the demerger of its CV and PV/EV businesses into separately listed entities in 2025.

Public fact

Its EV strategy spans the Tata group ecosystem — charging via Tata Power, financing, and batteries — giving it an integration story competitors lack.

Public fact

EV market share is under attack from MG, Mahindra, and new entrants, making funnel-conversion efficiency strategically urgent rather than optional.

Public fact

First-time EV buyers stall on home-charging feasibility, range confidence, and resale questions — a consultative conversation, not a brochure, is what converts them.

Reasoned inference

Post-purchase charging-support conversations (public-charger issues, range planning) likely reach dealers and helplines unequipped for them, denting advocacy in the segment where word-of-mouth decides adoption.

Seller hypothesis — validate

Validate with the account team before outreach: Demerged entity's digital-CX ownership and budget lines post-separation · Connected-car and charging-partner API readiness · Current EV lead-to-test-drive conversion baseline

Build vs buy

Why we have a right to win here

Partner-led target

Technically capable but needs industry workflows, integration, acceleration, or managed operations

Evidence: The Tata group has engineering depth (TCS, Tata Digital) but the demerged PV/EV entity itself buys digital-CX platforms; its connected-car and digital features are delivered with technology partners. The EV share war rewards speed-to-capability over technology ownership.

Why they won't build the full stack: Post-demerger, the entity's capital and engineering focus is product, batteries, and EV share defense against Mahindra and MG — not conversational-AI operations. Group-internal builds (via TCS) move at enterprise-program pace; the funnel leak costs share every quarter it persists.

What management is signalling

Completed the demerger into separately listed CV and PV/EV entities, with sustained investment in the EV portfolio and market leadership defense.

Reported factFY25 annual report / demerger disclosures · 2025

GTM implication: The demerged entity's valuation rests on the EV franchise — funnel conversion and owner advocacy are its two compounding loops; pitch both in one layer.

EV market share under visible attack from Mahindra and MG in successive quarters.

InferenceRecent investor communications (validate) · FY26

GTM implication: Urgency framing: every stalled charging-anxiety lead is share lost — conversion points per rupee beats brand spend.

What already exists (don't pitch this)
  • iRA connected-car platform and companion apps
  • Dealer network with lead-management callbacks
  • Tata group ecosystem assets (Tata Power charging, financing)
What customers still can't do end-to-end (pitch this)
  • →Charging-feasibility and TCO answers at the moment of purchase intent
  • →A single front door for EV owner charging support across CPO boundaries
  • →Standardized dealer lead follow-up floor
  • →Vernacular voice across the volume PV base
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
EV lead conversion & test-drive booking
Personalized charging/TCO guidance in-flow and test drives booked into dealer calendars in minutes.
EV leadership is the equity story of the demerged entity; every stalled lead is share lost to Mahindra or MG.
Friction today: Dealer follow-up generic; charging-feasibility questions go unanswered at the moment of intent.
WhatsAppVoiceWeb chat
EV owner charging & range support
One conversational front door for charging help, grounded in network status, with warm escalation.
Owner advocacy drives EV adoption; charging frustration is the #1 advocacy killer.
Friction today: Public-charging issues bounce between OEM, charge-point operators, and dealers.
AppWhatsAppVoice
Service booking & status (PV network)
Conversational booking, proactive status, and reminder-driven retention.
Service experience protects resale value perception across the volume PV range.
Friction today: Workshop lines and callback loops, as across the industry.
WhatsAppVoice
Watch the change

EV inquiry-to-test-drive conversion with charging-suitability guidance: today vs the agentic model

Scenario: A Pune family configures a Nexon EV online at 9pm but abandons at 'can I charge in my apartment parking?' — a question no one answers until a dealer calls two days later
Today
same interaction, two worlds
Agentic layer
Speed to first contact
hours–days
minutes, 24/7
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
  • · Speed to first contact: Process design; conversion lift measured in pilot
  • · 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
WhatsAppVoiceWeb chatApp

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 · Tata Motors
Lead managementDealer calendarsCharging-network dataConnected-car platformCharging-partner APIsDealer management systemService scheduling

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

Trust & languages
HindiEnglishMarathiGujaratiTamilKannada

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 interactions2.0M
Seller assumption — replace in discovery
Current cost per interaction ($)$0.9
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$1.8M
Current operating cost / mo
$7.3M
Modelled gross benefit / yr
0.2 mo
Payback on Scale
155%
3-yr ROI (modelled)
Automated/assisted interactions per month1.1M
Modelled AI run-cost per month (usage + cloud, system estimate)$385K
New monthly operating cost$1.2M

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 Tata Motors'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 Tata Motors: EV lead conversion plus owner-support and service booking spans the sales funnel and ownership lifecycle — two-to-three workflows across the demerged PV/EV entity justify Scale over a single-workflow Launch.

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: Lead management, Dealer calendars, Charging-network data
  • · A named business owner for ev inquiry-to-test-drive conversion with charging-suitability guidance
  • · Security review counterpart and policy sign-off (Lead management scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“The demerged entity's valuation rests on the EV franchise. Funnel conversion and owner advocacy are its two compounding loops — this layer accelerates both, visibly, within quarters.”

CIO / CTO

“Grounded on your lead systems, connected-car platform, and charging-partner data; the agent answers feasibility questions with real data, not scripts — every answer logged and evaluated.”

COO

“EV support queries today land on dealers trained for petrol cars. A specialized conversational layer absorbs them consistently while your network catches up.”

Chief Commercial Officer (PV/EV)

“Charging anxiety is your biggest silent funnel leak. Answering it personally, at the moment of intent, is the cheapest conversion point in your entire marketing stack.”

Chief Risk / Compliance Officer

“Range and TCO claims are bounded to approved, condition-qualified figures; outreach is DPDP-consented; every commitment auditable — protecting the brand from overclaim risk in a scrutinized category.”

CFO / Procurement

“Measure EV-lead-to-test-drive conversion delta on agent-engaged cohorts. In a share war, conversion points per rupee beats any brand-spend alternative.”

Outreach

Pre-built offer emails for Tata Motors

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

India's EV leader and #3 passenger-vehicle maker, freshly demerged into focused PV/EV and CV entities — EV adoption anxiety makes conversational support a purchase-conversion lever, and the demerger creates appetite for entity-level digital differentiation.

Recommended next step

Pilot EV lead engagement with charging-feasibility guidance in three metro markets, A/B against standard dealer follow-up, with Tata Power charging data integrated.

Entry: EV inquiry-to-test-drive conversion with charging-suitability guidance · 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.