IndiaNBFC — commercial vehicle financeLaunch · $50K
Sundaram Finance

Ninety years of courteous Chennai service — extended to every EMI conversation, in Tamil, at any hour

Give Sundaram Finance a conversational layer that carries its famed courtesy into automated EMI reminders, renewal conversations, and deposit servicing — relationship-grade tone at a coverage its branch teams cannot reach by phone.

Entry use case
Courteous EMI reminders & payment conversations
Expected outcome
On-time collections lift with zero compromise on the house tone; branch teams freed for relationship work; deposit-renewal coverage completed.
Recommended next step
Launch pilot in two Tamil Nadu branches: tone-governed Tamil EMI reminders for 90 days, jointly scripted with the recoveries head, measured on on-time collections and staff-hour recovery.
What we understand

Sundaram Finance's operating reality

Founded 1954, part of the TS Santhanam family group; among India's most respected CV and car financiers, famed for conservative credit culture and low NPAs through cycles.

Public fact

Also holds a large retail fixed-deposit franchise — unusual among NBFCs — built on generational Chennai-area trust, plus group businesses in insurance and asset management.

Public fact

Its collections model is relationship-based: branch teams know borrowers personally; recovery is courteous and patient by design.

Public fact

That very courtesy is capacity-expensive: coverage of routine reminders likely depends on branch staff time, and after-hours contact is minimal.

Reasoned inference

Management would likely reject any automation that sounds like a collection agency; tone-governance and script control are the actual buying criteria.

Seller hypothesis — validate

Validate with the account team before outreach: Whether management will accept automated outbound at all — tone governance is the real gate · LMS API readiness and payment-link options · Deposit-system integration feasibility for renewal outreach

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 deliberately conservative, relationship-led financier with no internal AI engineering; technology is bought carefully and adopted slowly — a packaged platform with strong tone and script governance is the only viable form factor.

Why they won't build the full stack: Building conversational infrastructure is antithetical to the institution's focus; it will buy a proven, controllable platform or do nothing.

What management is signalling

Steady, conservative AUM growth with sector-leading asset quality remains the consistent narrative

Reported factFY25 annual report · mid 2025

GTM implication: Pitch efficiency and service courtesy at scale, never aggressive recovery — the house metric is quality, not speed

What already exists (don't pitch this)
  • Customer portal and app
  • SMS reminders
  • Branch-relationship collections model
  • Multi-decade FD franchise operations
What customers still can't do end-to-end (pitch this)
  • →No conversational automation of any kind at scale
  • →Reminder coverage limited by staff time
  • →After-hours contact minimal
  • →Deposit-renewal outreach depends on branch memory
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Courteous EMI reminders in Tamil
Every due account receives a polite, on-brand Tamil conversation with payment in-channel; staff time returns to relationships.
Routine reminder coverage consumes relationship-staff time that should go to renewals, top-ups, and genuine hardship cases.
Friction today: Branch staff dial between counter duties; coverage is uneven; SMS reminders feel impersonal against the house standard.
VoiceWhatsAppSMS
FD-maturity renewal conversations
100% of maturing deposits get a courteous, rate-grounded renewal conversation; renewal capture measured.
The deposit franchise renews on trust and timing; every maturity deserves a personal conversation its RM capacity cannot always deliver.
Friction today: Renewal outreach is branch-memory-dependent; rate questions at maturity go to whoever answers the phone.
VoiceWhatsApp
Loan-servicing & document requests
In-conversation document delivery and grounded quotes, Tamil-first.
Statements, NOCs, and foreclosure quotes drive calls and branch visits across the CV book.
Friction today: Document requests wait on branch processing; borrowers call to follow up.
WhatsAppVoice
Watch the change

Courteous EMI reminders & payment conversations: today vs the agentic model

Scenario: A lorry operator in Namakkal gets a polite Tamil call about Friday's EMI, mentions a delayed trip payment, and settles Monday with a recorded promise — no field visit, no friction
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 · Sundaram Finance
LMSPayment gatewayDeposit systemRate engineDocument 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 interactions600K
Seller assumption — replace in discovery
Current cost per interaction ($)$1.0
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$600K
Current operating cost / mo
$2.6M
Modelled gross benefit / yr
0.2 mo
Payback on Launch
182%
3-yr ROI (modelled)
Automated/assisted interactions per month330K
Modelled AI run-cost per month (usage + cloud, system estimate)$115K
New monthly operating cost$386K

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 Sundaram Finance's measured baseline. Package price covers implementation only; recurring usage billed separately.

Recommended package

Launch — $50K implementation

Launch · $50K · A focused, fast production pilot8–10 weeks to a live, measured pilot

Why this package for Sundaram Finance: A deliberately conservative institution best entered with a focused launch: one workflow (EMI reminders) in Tamil plus English, one LMS integration, tightly measured — expansion follows earned trust.

Included
  • Up to 3 channels
  • One priority workflow
  • Limited enterprise integrations (1–2 systems)
  • API credential & security setup
  • Core conversational + workflow configuration
  • Basic analytics
  • Controlled production pilot with defined success criteria
Not included
  • ✕Usage & consumption (billed separately)
  • ✕Additional workflows
  • ✕Multi-geography rollout
  • ✕Managed operations
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, Payment gateway, Deposit system
  • · A named business owner for courteous emi reminders & payment conversations
  • · 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

“Sundaram's brand is courtesy compounded over decades; a tone-governed agent extends that exact courtesy to every reminder — coverage without a single off-brand conversation.”

CIO / CTO

“A single LMS integration, script-locked and fully auditable — the smallest possible technology footprint for a measured first step.”

COO

“Branch teams stop dialing registers and return to counter and relationship work; reminder coverage becomes complete and reportable.”

Head of Recoveries

“You see every conversation, every promise, every payment — with escalation to your people the moment a borrower mentions hardship.”

Chief Risk / Compliance Officer

“Script-bounded, logged, permitted-window outreach is a stronger conduct file than any manual process — consistent with RBI recovery norms and the house standard.”

CFO

“A launch-scope pilot with defined metrics — on-time collection lift and staff hours returned — keeps the decision small, measurable, and reversible.”

Outreach

Pre-built offer emails for Sundaram 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 2 — high-potential incubation

Why this tier

Chennai institution with a nine-decade reputation for conservative underwriting and courteous, relationship-based service in CV and car finance — deeply Tamil-speaking borrower base and a service culture that would demand (and showcase) respectful vernacular automation.

Recommended next step

Launch pilot in two Tamil Nadu branches: tone-governed Tamil EMI reminders for 90 days, jointly scripted with the recoveries head, measured on on-time collections and staff-hour recovery.

Entry: Courteous EMI reminders & payment conversations · Launch package · 8–10 weeks to a live, measured pilot. 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.