IndiaPrivate bank — universalTransform · $200K
HDFC Bank

Every post-merger mortgage and deposit conversation answered like a branch RM — at 90-million-customer scale

Give HDFC Bank an agentic frontline that absorbs the merger-driven surge in mortgage servicing, deposit mobilization outreach, and card service calls without adding proportional contact-center headcount.

Entry use case
Mortgage & retail-asset servicing line
Expected outcome
Deflect status, statement, and interest-certificate calls into grounded self-service; convert freed capacity into deposit-gathering conversations.
Recommended next step
Workshop with the retail-assets servicing head: map the top 20 mortgage-servicing intents post-merger and scope a rate-reset deflection pilot on one circle.
What we understand

HDFC Bank's operating reality

Largest private-sector bank in India; the July 2023 merger with HDFC Ltd added one of the country's biggest home-loan books to its retail franchise.

Public fact

Running a publicly discussed technology transformation agenda after RBI's 2020 digital-launch embargo (lifted 2022), including Digital Factory and Enterprise Factory builds and a hybrid multi-cloud posture.

Public fact

Branch network expanding aggressively (9,000+ branches) with a stated priority on deposit mobilization to fund the merged balance sheet.

Public fact

Post-merger, mortgage-servicing queries (interest certificates, part-prepayment, rate-reset questions after repo changes) likely form a large, seasonal spike-prone share of inbound volume.

Reasoned inference

Contact-center estate is likely multi-vendor and multi-city; consistency of answers across phone, PayZapp, and branch escalations is a probable pain point.

Seller hypothesis — validate

A deposit-mobilization outbound motion exists at scale; conversational quality and TRAI DND compliance across languages likely constrain how far it can be pushed.

Reasoned inference

Validate with the account team before outreach: Current contact-center vendor mix, seat count, and contract renewal dates · Which servicing APIs (mortgage, deposits, cards) are exposed internally and their readiness for agent grounding · Cloud posture and data-residency constraints for conversational AI workloads

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: Digital Factory and Enterprise Factory programs show genuine in-house engineering depth, and the EVA chatbot and PayZapp estate prove digital ambition — but customer-facing conversational AI has consistently been delivered with vendors and SIs rather than built from scratch.

Why they won't build the full stack: The bank builds journeys and apps, not speech models, telephony orchestration, or evaluation infrastructure; bank-grade procurement prefers an accountable platform partner for the full conversational stack while retaining control of APIs and governance.

What management is signalling

Management has repeatedly emphasized deposit mobilization and normalizing the post-merger loan-deposit ratio as the top balance-sheet priority

Reported factFY25 earnings commentary · mid 2025

GTM implication: FD-maturity and deposit-outreach automation lands directly on the bank's most-repeated strategic priority

Cost-to-income discipline while the branch network expands is a recurring theme in analyst discussions

Inferencerecent investor communications (validate) · late 2025

GTM implication: Service-deflection economics on an eight-million-contact month give the cost line a concrete, pilot-provable lever

What already exists (don't pitch this)
  • EVA chatbot across web and app
  • PayZapp and mobile-banking apps
  • WhatsApp banking at scale
  • Large multi-vendor IVR and contact-center estate
What customers still can't do end-to-end (pitch this)
  • →EVA is largely informational, not transactional
  • →No shared context across app, IVR, branch, and WhatsApp
  • →Collections and FD-maturity outreach still dialer- and SMS-led
  • →Vernacular voice self-service limited to a few languages
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Mortgage servicing & rate-reset explainer
Grounded, consistent rate-reset and certificate self-service in the customer's language; fewer branch walk-ins per repo cycle.
The merged HDFC Ltd book made HDFC Bank India's leading mortgage lender; every repo move triggers waves of EMI/tenure-reset questions.
Friction today: Rate-reset math is explained inconsistently by agents reading screens; interest-certificate and statement requests still drive branch visits and calls.
VoiceWhatsAppIVR replacement
Deposit mobilization & FD-maturity outreach
100% of maturing FDs get a compliant, two-way renewal conversation with rate options; renewal rate measured weekly.
Post-merger loan-deposit ratio pressure makes every maturing FD a retention-critical conversation the bank publicly prioritizes.
Friction today: Maturity outreach is SMS-blast plus branch RM follow-up; coverage is capacity-limited and untracked; DND windows constrain dialers.
VoiceWhatsApp
Card and payments service deflection
In-conversation resolution of status and servicing actions; human agents reserved for disputes and complaints.
One of India's largest credit-card issuers; dispute status, limit, and reward queries are high-volume, low-complexity contact drivers.
Friction today: IVR trees push card queries to agents who re-authenticate and swivel between card system and CRM.
VoiceApp chatWhatsApp
Watch the change

Mortgage & retail-asset servicing line: today vs the agentic model

Scenario: A merged-book home-loan customer in Mumbai calls after a repo cut to ask why her EMI has not changed
Today
same interaction, two worlds
Agentic layer
First-contact resolution
deferred via tickets
in-conversation actions
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
  • · First-contact resolution: Process design: agent acts in systems of record
  • · 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
VoiceWhatsAppIVR replacementApp 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 · HDFC Bank
Mortgage servicing coreCRMDocument generationCore banking (deposits)Offer engineCard management systemDispute workflow

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

Trust & languages
HindiEnglishMarathiTamilTeluguBengaliGujaratiKannada

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 interactions8.0M
Seller assumption — replace in discovery
Current cost per interaction ($)$1.4
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$11.2M
Current operating cost / mo
$55.4M
Modelled gross benefit / yr
0.0 mo
Payback on Transform
299%
3-yr ROI (modelled)
Automated/assisted interactions per month4.4M
Modelled AI run-cost per month (usage + cloud, system estimate)$1.5M
New monthly operating cost$6.6M

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 HDFC Bank's measured baseline. Package price covers implementation only; recurring usage billed separately.

Recommended package

Transform — $200K implementation

Transform · $200K · A broader enterprise deployment14–20 weeks phased across units

Why this package for HDFC Bank: Multiple business units (retail liabilities, mortgages, cards, payments) with complex core-banking integrations and a bank-grade governance requirement — a phased multi-BU deployment is the honest scope.

Included
  • 7–10 channels
  • Multiple inbound + outbound workflows
  • Complex enterprise integrations
  • Multiple business units or geographies
  • Advanced agent orchestration
  • Enterprise grounding
  • Governance & evaluation framework
  • Role-based human supervision
  • Custom analytics & optimization
  • Production hardening + managed rollout plan
Not included
  • ✕Usage & consumption (billed separately)
  • ✕Ongoing managed operations (contracted separately)
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: Mortgage servicing core, CRM, Document generation
  • · A named business owner for mortgage & retail-asset servicing line
  • · Security review counterpart and policy sign-off (Mortgage servicing core scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“The merger thesis rests on cross-selling deposits and cards into the mortgage base; an agentic frontline turns every servicing contact into a measured deposit conversation instead of a cost.”

CIO / CTO

“This rides on the Digital Factory investment you have already made — the agent grounds on your existing servicing APIs rather than adding another siloed bot to the estate.”

COO

“Post-merger call volumes scale with the book, but headcount does not have to; policy-timed automation absorbs repo-cycle spikes that currently melt your queues.”

Head of Retail Liabilities

“Every maturing FD gets a two-way renewal conversation in the depositor's language — coverage your RM and telecalling capacity cannot reach today.”

Chief Risk / Compliance Officer

“Every interaction is logged, scored, and bounded by approved scripts and TRAI DND windows — tighter conduct control than a sampled QA regime across vendor contact centers.”

CFO / Procurement

“At roughly eight million assisted interactions a month, shifting even half to grounded self-service changes the cost line materially; usage-based pricing means you pay for resolution, not seats.”

Outreach

Pre-built offer emails for HDFC 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 1 — immediate strategic pursuit

Why this tier

India's largest private bank with 90M+ customers and the post-merger mortgage book of erstwhile HDFC Ltd — the single largest retail service and outbound volume pool in Indian private banking.

30 / 60 / 90-day plan
  • Day 0–30: Workshop with the retail-assets servicing head: map the top 20 mortgage-servicing intents post-merger and scope a rate-reset deflection pilot on one circle.; confirm sponsor and baseline data access; validate: Current contact-center vendor mix, seat count, and contract renewal dates
  • Day 31–60: architecture & security review with the platform team; Tilicho Labs scoping on Voice + WhatsApp; pilot scope signed
  • Day 61–90: Transform package kickoff; mortgage & retail-asset servicing line pilot in build; success thresholds locked with the Head of Retail Liabilities
Recommended next step

Workshop with the retail-assets servicing head: map the top 20 mortgage-servicing intents post-merger and scope a rate-reset deflection pilot on one circle.

Entry: Mortgage & retail-asset servicing line · Transform package · 14–20 weeks phased across units. 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.