IndiaBank — microbanking heritageScale · $100K
Bandhan Bank

Every weekly installment reminded in Bengali or Assamese before the center meeting — collections coverage the field force alone can never reach

Give Bandhan a conversational first line over its microbanking and retail books: vernacular repayment reminders, early-bucket conversations with hardship routing, and service deflection — protecting asset quality and field capacity through the stress cycle and beyond.

Entry use case
EEB repayment reminders & early-bucket outreach
Expected outcome
Improved early-bucket pools on the EEB book and fewer field-officer hours consumed by routine reminder work.
Recommended next step
Pilot vernacular reminders and early-bucket outreach on one West Bengal EEB cohort for 90 days, early-bucket pool and field-hour deltas measured against matched control centers.
What we understand

Bandhan Bank's operating reality

Grew out of a microfinance institution into a universal bank; the Emerging Entrepreneurs Business (EEB) book remains concentrated in West Bengal, Assam, and eastern India.

Public fact

FY26 credit costs were elevated on the EEB book amid industry-wide microfinance stress, with management reporting sequential improvement in early-bucket pools by Q4 FY26.

Public fact

Management has publicly emphasized diversifying toward secured lending and growing retail deposits as the strategic reshaping of the balance sheet.

Public fact

The doorstep and center-meeting collection model consumes enormous field capacity; routine reminder work is likely substitutable by vernacular voice conversations.

Reasoned inference

Much of the base is likely voice-first in Bengali and Assamese, with limited app and SMS engagement — making voice the only automation channel that can actually reach it.

Seller hypothesis — validate

Validate with the account team before outreach: Current EEB early-bucket coverage model and field-hour cost per contact · Microbanking LMS API readiness for real-time dues and PTP write-back · Borrower phone-reachability and language data across the eastern footprint

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: An operations- and field-led bank with no internal AI engineering franchise; technology is vendor-delivered, and management attention is on asset quality and the secured-mix pivot rather than platform building.

Why they won't build the full stack: Bengali- and Assamese-first voice automation with conduct-grade logging is specialist infrastructure no mid-size bank builds; a packaged platform integrated to the microbanking LMS is the only practical shape.

What management is signalling

Elevated EEB credit costs through FY26 — an industry-wide microfinance stress cycle — moderated sequentially by Q4, with management flagging improving early-bucket pools

Reported factQ4 FY26 earnings call · May 2026

GTM implication: Early-bucket conversational coverage in the book's own languages is the direct operational lever on the metric driving the earnings narrative

The strategic shift toward secured lending and retail deposit growth is publicly emphasized

Reported factFY26 investor presentation · mid 2026

GTM implication: Onboarding and servicing automation supports the diversification without adding branch load — a second workflow after collections proves out

What already exists (don't pitch this)
  • mBandhan mobile app and internet banking
  • Phone banking/IVR line
  • Doorstep-service and center-meeting field network
  • SMS reminders on retail products
What customers still can't do end-to-end (pitch this)
  • →No Bengali/Assamese voice automation despite a voice-first base
  • →Collections remain field- and dialer-led
  • →Bots and IVR are informational only
  • →No shared context across branch, field, and phone channels
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
EEB repayment reminders & center-meeting support
Vernacular voice reminders for installments and center meetings; officers focus on genuine delinquency and group dynamics.
Weekly repayment discipline and meeting attendance are the entire economics of group lending; reminders scale what field officers do by hand.
Friction today: Field officers carry reminder burden across hundreds of centers; stress cycles raise missed-meeting and missed-installment rates faster than staffing can respond.
VoiceSMS
Early-bucket collections with hardship routing
100% early-bucket attempts in the borrower's language with PTP capture; vulnerability cues route to field officers with transcripts.
Through the microfinance stress cycle, early-bucket coverage and documented conduct decide both credit cost and regulatory standing.
Friction today: Coverage depends on field capacity; hardship situations surface late; contact attempts are weakly documented.
VoiceWhatsAppSMS
Deposit & retail service deflection
Grounded self-service on top retail intents in Bengali, Hindi, and Assamese; branches reserved for sales and exceptions.
The strategic pivot to retail deposits and secured products adds servicing volume a branch-heavy model handles expensively.
Friction today: Balance, FD, and account-servicing queries route to branches and a thin phone-banking line.
VoiceWhatsAppApp chat
Watch the change

EEB repayment reminders & early-bucket outreach: today vs the agentic model

Scenario: A group-loan borrower in Murshidabad misses a weekly installment while her center manager is covering three other villages that day
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
VoiceSMSWhatsAppApp 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 · Bandhan Bank
Microbanking LMSField-force appCollections platformPayment gatewayCore bankingCRM

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

Trust & languages
BengaliHindiAssameseOdiaEnglish

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 ($)$0.8
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$1.6M
Current operating cost / mo
$5.9M
Modelled gross benefit / yr
0.2 mo
Payback on Scale
127%
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$1.1M

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 Bandhan Bank'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 Bandhan Bank: Vernacular reminders, early-bucket conversations, and service deflection are two-three workflows on core-banking and collections integrations — a scale deployment concentrated in the bank's eastern-India language footprint.

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: Microbanking LMS, Field-force app, Collections platform
  • · A named business owner for eeb repayment reminders & early-bucket outreach
  • · Security review counterpart and policy sign-off (Microbanking LMS scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO / MD

“The market judges Bandhan on how it exits the microfinance stress cycle; conversational early-bucket coverage in Bengali and Assamese is the most direct operational answer available.”

CIO / CTO

“One integration to the microbanking LMS powers reminders, collections, and servicing — a bounded scope with complete logging that strengthens rather than complicates the control story.”

COO

“Field officers spend their best hours on routine reminders; voice substitution returns that capacity to genuine delinquency work and the secured-book buildout.”

Head of Emerging Entrepreneurs Business

“Every center meeting and installment reminded automatically in the borrower's language — coverage and documentation your field model alone cannot produce.”

Chief Risk / Compliance Officer

“Timestamped, transcribed vernacular contact attempts give you conduct evidence across the book — exactly what heightened microfinance scrutiny demands.”

CFO / Procurement

“Credit-cost moderation is the earnings story; a control-cohort pilot prices the roll-rate and field-substitution impact before any wider commitment.”

Outreach

Pre-built offer emails for Bandhan Bank

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

Mass-market bank with microbanking heritage and an eastern-India, vernacular-first customer base; industry-wide microfinance stress made collections coverage and conduct the central earnings variable while the bank pivots its mix toward secured assets.

Recommended next step

Pilot vernacular reminders and early-bucket outreach on one West Bengal EEB cohort for 90 days, early-bucket pool and field-hour deltas measured against matched control centers.

Entry: EEB repayment reminders & early-bucket outreach · 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.