Give Mahindra Finance's field-led collections model a conversational first line: harvest-aware vernacular reminders, automatic PTP follow-through, and same-day bounce recovery — so costly field visits are reserved for accounts a conversation cannot fix.
Mahindra-group NBFC and one of India's largest financiers of tractors, utility vehicles, and pre-owned vehicles, distributed deep into rural and semi-urban India.
Public factManagement publicly guides credit cost to a 1.3–1.7% through-cycle band and repeatedly cites collection efficiency as the control lever in results commentary.
Public factBorrower cash flows track harvests, mandi settlements, and rural cycles; a large share of collections is still cash-based at branches or doorstep.
Reasoned inferenceField-visit cost per resolved account is likely multiples of a phone resolution; routing only conversation-resistant accounts to the field is a large efficiency lever.
Reasoned inferenceCentral dialers likely reach few farmer and driver borrowers during working daylight hours; evening vernacular voice likely outperforms both dialers and SMS.
Seller hypothesis — validateValidate with the account team before outreach: Actual split of phone vs field collection and cost per field visit · LMS and field-app API maturity for real-time PTP write-back · Cash-collection share and how digital payment links perform with this base
Limited internal ability or appetite to build the core platform — strong candidate for the packaged solution
Evidence: A field-operations-first lender whose technology is delivered by group and external vendors; group adjacency to Tech Mahindra has not translated into an internal AI-platform team inside the NBFC, and procurement favors proven, integrated solutions.
Why they won't build the full stack: Vernacular speech, telephony, and conversation evaluation are specialist infrastructure far from a rural lender's engineering scope; the stack must arrive packaged and integrated to the LMS and field app.
Management holds credit cost to a stated 1.3–1.7% through-cycle band, with collection efficiency repeatedly cited as the control lever
GTM implication: Early-bucket conversational coverage is the cheapest structural defense of the guided band — pitch it as credit-cost insurance
AUM grew ~12% in FY26 with disbursement growth across vehicle categories and strong rural demand
GTM implication: The serviced book — and its reminder, bounce, and servicing volume — scales faster than field or dialer capacity can
| Workflow | Why it matters here | Value | Complexity | Speed | Channels |
|---|---|---|---|---|---|
EMI reminders timed to rural cash cycles Policy-timed vernacular voice reminders with in-channel payment or PTP capture; the field queue shrinks to genuine cases. | Repayment ability follows harvest and mandi payments; a reminder timed and toned to that reality collects better than fixed dialer cadence. Friction today: Dialer bursts miss working borrowers; field officers burn visits on accounts that needed only a nudge; SMS dunning goes unread. | VoiceWhatsAppSMS | |||
PTP follow-through & field-visit triage Every PTP chased automatically on its date; the field app receives a ranked morning queue of unresolved accounts with transcripts. | Broken promises surface only at the next dialer cycle today; automatic follow-up protects both roll rates and field-force time. Friction today: PTPs live in call notes and field-app entries; follow-up depends on officer load; no ranked field queue exists. | VoiceWhatsApp | |||
Bounce recovery & servicing self-service Same-day conversational bounce recovery and self-service statements, NOCs, and foreclosure quotes in the borrower's language. | Mandate bounces are the first slip signal, and statement/NOC/foreclosure requests clog branch and call capacity on a growing book. Friction today: Bounce follow-up waits for the next dialer cycle; servicing requests become branch visits in rural geographies. | WhatsAppVoice |
Voice & channel orchestration, telephony, conversational execution, session/state, routing, integration build. Capability coverage validated during implementation.
API access to these systems is the critical-path dependency.
Identity-bound sessions, policy-bounded actions, 100% audit logging, human approvals at defined points, in-tenant intelligence.
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 Mahindra & Mahindra Financial Services's measured baseline. Package price covers implementation only; recurring usage billed separately.
Why this package for Mahindra & Mahindra Financial Services: Voice-first reminders, PTP follow-through, and bounce recovery are two-three workflows on LMS and field-app integrations in multiple regional languages — squarely the scale scope, expandable to SME and leasing books after proof.
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.
“You guide the street to a 1.3–1.7% credit-cost band through the cycle; conversational early-bucket coverage is the cheapest structural defense of that band ever available to a rural lender.”
“The agent plugs into the LMS and field app you already run — it feeds officers better queues and writes PTPs back in real time rather than replacing any system.”
“Field visits per resolved account is your costliest ratio; an evening vernacular voice line that resolves routine reminders bends it within a quarter.”
“Harvest-aware reminders, PTPs that chase themselves, and a ranked field queue every morning — collections built around how your borrowers actually earn.”
“RBI recovery-conduct norms extend to field behavior; moving routine contact to logged, bounded conversations shrinks your conduct surface where it is hardest to observe.”
“Substituting even a fifth of field visits with sub-dollar conversations pays for the platform; the roll-rate improvement inside your guided credit-cost band is upside on top.”
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.
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.
One of India's largest rural and semi-urban vehicle financiers — tractors, utility vehicles, pre-owned — with a collections-heavy, cash-heavy, vernacular operating model where contact coverage converts directly into the credit-cost line management guides on.
Pilot in two tractor-heavy territories: agent-first contact on buckets 0–1 for 60 days, field-visit-per-resolution and roll-rate deltas reported against control branches.
Entry: Rural EMI reminders & early-bucket outreach · Scale package · 10–14 weeks to production across priority workflows. Human fallback throughout; success thresholds agreed before build.
Start the pursuitResearch-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.