IndiaNBFC — vehicle & retail lendingScale · $100K
Cholamandalam Investment & Finance

Every EMI reminder in the borrower's own language — Tamil in Salem, Telugu in Guntur — before a field officer ever rides out

Give Chola a conversational first line for EMI reminders, PTP follow-up, and early-bucket collections across its vehicle and retail books, so its field force works only the accounts a well-timed vernacular conversation cannot resolve.

Entry use case
Vehicle-loan EMI reminders & PTP follow-up
Expected outcome
Improved early-bucket roll rates and fewer field visits per resolved account, with RBI-conformant, fully logged conduct.
Recommended next step
90-day pilot in two Tamil Nadu regions: automated Tamil EMI reminders and PTP follow-up on the used-CV book, measured on early-bucket roll rates and field visits per resolved account vs matched control branches.
What we understand

Cholamandalam Investment & Finance's operating reality

Part of the Murugappa group; among India's largest vehicle-finance NBFCs spanning used and new CVs, cars, two-wheelers, tractors, plus growing LAP, home-loan, and SME books.

Public fact

Distribution and collections run through a very large branch and field network concentrated in southern and semi-urban India.

Public fact

Borrowers are predominantly self-employed — drivers, small fleet operators, farmers — whose cash flows are seasonal and trip-based; EMI timing conversations matter as much as reminders.

Reasoned inference

Field-visit collection cost per account is likely multiples of phone resolution; routing only conversation-resistant accounts to the field is a major efficiency lever on a book this size.

Reasoned inference

RBI's tightened norms on recovery conduct and its scrutiny of NBFC collection practices make per-call conduct evidence increasingly valuable.

Public fact

Voice in Tamil/Telugu/Kannada likely outperforms text for this base; literacy and smartphone sophistication vary widely.

Reasoned inference

Validate with the account team before outreach: How collections calling is organized today (central dialer vs branch vs field-first) and its language coverage · LMS and collections-platform API readiness, including payment-link integration · Field-force app landscape and appetite for a ranked-queue integration

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: A lending- and distribution-led NBFC whose technology estate is bought and integrated; the Murugappa group's conservative, ROI-driven culture favors proven platforms over in-house AI construction.

Why they won't build the full stack: Vernacular speech, telephony orchestration, and evaluation infrastructure are far outside a vehicle financier's build envelope; the stack must arrive packaged and integrated to the LMS with conduct governance built in.

What management is signalling

Sustained strong AUM growth across vehicle finance and newer retail books has been the standing story, with asset quality watched closely as the book seasons

Reported factFY25 earnings commentary · mid 2025

GTM implication: Collections capacity must scale with AUM without linear headcount — automation is the only curve-bender available

Management commentary notes collection-efficiency focus in newer books and semi-urban segments

Inferencerecent investor communications (validate) · late 2025

GTM implication: Early-bucket conversational coverage directly addresses the metric management is asked about each quarter

What already exists (don't pitch this)
  • Customer app and web payment portal
  • SMS reminder engine
  • Large field-collections force with mobile tooling
  • Branch network doubling as service points
What customers still can't do end-to-end (pitch this)
  • →Reminders one-way and often not in the borrower's language
  • →No two-way vernacular voice at scale
  • →PTP follow-up manual and inconsistent
  • →Servicing documents drive branch footfall
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
EMI reminders timed to borrower cash flows
Policy-timed vernacular voice reminders with in-channel payment and PTP capture; the field queue shrinks to genuine cases.
Millions of active vehicle loans generate a monthly reminder load no dialer floor covers well — and coverage gaps become field visits.
Friction today: Central dialers reach few working drivers; reminders come in Hindi/English to Tamil-speaking borrowers; field officers burn visits on accounts needing only a nudge.
VoiceWhatsAppSMS
PTP follow-through & field-visit triage
Every PTP followed up on its date; the field app receives a ranked queue of unresolved accounts with transcripts.
Broken promises currently surface at the next dialer cycle; automatic same-day follow-up protects both roll rates and field time.
Friction today: PTPs live in collector notes; follow-up depends on load; no ranked field queue with conversation context exists.
VoiceWhatsApp
Loan-servicing deflection (statements, NOC, foreclosure quotes)
In-conversation document delivery and grounded foreclosure quotes in the borrower's language.
Statement, interest-certificate, NOC, and foreclosure-quote requests drive branch footfall and call volume across the book.
Friction today: Borrowers visit branches for documents; NOC issuance post-closure generates repeat contacts.
WhatsAppVoice
Watch the change

Vehicle-loan EMI reminders & PTP follow-up: today vs the agentic model

Scenario: A used-truck owner in Salem finishing a Kerala trip gets a Tamil reminder timed after his freight settlement — and pays in the conversation
Today
same interaction, two worlds
Agentic layer
Day-1 contact coverage
capacity-limited
100% attempted, multi-channel
Platform capability
Roll-rate improvement
—
measured in pilot
Benchmark
Cost per contact
$13.50 median assisted
$1.84 median self-service
Benchmark
QA coverage
1–2% sampled
100% scored
Platform capability
Sources & assumptions
  • · Day-1 contact coverage: Coverage is a platform capability; contact success measured in pilot
  • · Roll-rate improvement: McKinsey: 20–25% NPL reduction among digital-first collections leaders
  • · 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
VoiceWhatsAppSMS

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 · Cholamandalam Investment & Finance
LMSCollections platformPayment gatewayField-force appDocument generation

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

Trust & languages
TamilTeluguKannadaMalayalamHindiEnglish

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 Cholamandalam Investment & Finance'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 Cholamandalam Investment & Finance: Two-three collections and servicing workflows across voice and WhatsApp in southern languages plus Hindi, anchored on LMS integration — a classic scale deployment expandable to LAP and SME books after vehicle-book 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: LMS, Collections platform, Payment gateway
  • · A named business owner for vehicle-loan emi reminders & ptp follow-up
  • · Security review counterpart and policy sign-off (LMS scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

MD

“Chola's edge is knowing its borrower; an agent that reminds respectfully in his own language, timed to his cash flow, scales that relationship discipline across the entire book.”

CIO / CTO

“One LMS integration powers reminders, PTP follow-up, and servicing across every branch geography — no per-region technology burden.”

COO

“Field cost per resolved account drops as phone-resolvable cases stop reaching the field; visit capacity concentrates where it changes outcomes.”

Head of Collections

“Coverage goes to 100% attempted with per-conversation outcomes; roll rates become a daily dashboard by bucket and branch.”

Chief Risk / Compliance Officer

“Every contact logged, timed within permitted windows, script-bounded — per-call conduct evidence aligned to RBI's recovery norms, replacing sampled QA.”

CFO / Procurement

“The case is roll-rate basis points plus field-visit avoidance on a book of this scale — both measurable in a 90-day pilot before any wider commitment.”

Outreach

Pre-built offer emails for Cholamandalam Investment & Finance

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

Murugappa-group NBFC among India's largest vehicle financiers (used CVs, cars, tractors, plus LAP and SME) with a Chennai-anchored, south-heavy borrower base — EMI-collection conversations in Tamil, Telugu, and Kannada are its daily operating heartbeat.

30 / 60 / 90-day plan
  • Day 0–30: 90-day pilot in two Tamil Nadu regions: automated Tamil EMI reminders and PTP follow-up on the used-CV book, measured on early-bucket roll rates and field visits per resolved account vs matched control branches.; confirm sponsor and baseline data access; validate: How collections calling is organized today (central dialer vs branch vs field-first) and its language coverage
  • Day 31–60: architecture & security review with the platform team; Tilicho Labs scoping on Voice + WhatsApp; pilot scope signed
  • Day 61–90: Scale package kickoff; vehicle-loan emi reminders & ptp follow-up pilot in build; success thresholds locked with the Head of Collections
Recommended next step

90-day pilot in two Tamil Nadu regions: automated Tamil EMI reminders and PTP follow-up on the used-CV book, measured on early-bucket roll rates and field visits per resolved account vs matched control branches.

Entry: Vehicle-loan EMI reminders & PTP follow-up · 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.