Automate PNB's mass-retail and pensioner servicing conversations — the balance, pension, KCC, and scheme queries that dominate its branch and call volume — in the north-Indian languages its base actually speaks.
Second-largest PSU bank by network after SBI, enlarged by the 2020 amalgamation of Oriental Bank of Commerce and United Bank of India; ~10,000 branches with deep Hindi-belt and Punjab presence.
Public factPNB One is the bank's flagship mobile app; the bank has publicly pushed digital transactions and 'PNB 2.0' technology modernization in recent years.
Public factPost-2018 fraud-era legacy (Nirav Modi LoU case) left a lasting, publicly visible emphasis on controls, auditability, and process discipline in everything customer-facing.
Public factIts customer mix skews mass-retail, agricultural (KCC), and pensioner segments — voice-first, vernacular, and branch-dependent; text-first chatbots likely serve a minority of the base.
Reasoned inferenceBranch staff likely spend a large share of counter time on status-grade queries (pension credits, scheme eligibility, cheque/FD status) that never needed a branch visit.
Reasoned inferenceContact-center language coverage beyond Hindi and English is likely thin relative to the Punjabi-, Bengali-, and Odia-speaking base inherited through amalgamation.
Seller hypothesis — validateValidate with the account team before outreach: Tender path and timeline — whether conversational AI falls under an existing digital RFP or needs a new procurement · CBS/API readiness for real-time grounding vs batch-only access · Actual language distribution of inbound calls vs what the IVR serves today
Limited internal ability or appetite to build the core platform — strong candidate for the packaged solution
Evidence: PNB's technology is vendor-delivered under tender; digital progress (PNB One) is real but integration-led, with no internal conversational-AI engineering capability visible — and the post-fraud controls culture strongly favors accountable external platforms with audit trails.
Why they won't build the full stack: Building speech models, telephony, and evaluation tooling is outside any PSU bank's operating model; the only realistic route to vernacular agentic service is a packaged, tender-compliant platform integrated by accountable partners.
Management has emphasized profitability normalization, asset-quality repair, and digital-transaction growth as the standing narrative
GTM implication: With credit costs normalized, operating efficiency is the next lever — service-cost deflection is a concrete, board-friendly story
Continued emphasis on controls and process discipline in public commentary
GTM implication: Position 100% conversation logging and scoring as a controls upgrade, not just a cost play
| Workflow | Why it matters here | Value | Complexity | Speed | Channels |
|---|---|---|---|---|---|
Pension & senior-citizen servicing line Voice-first pension status, arrears, and life-certificate guidance in Hindi and Punjabi; season spikes absorbed without added staff. | PNB services one of India's largest pension books; the elderly base is the least app-capable and the most branch-dependent segment. Friction today: Life-certificate season and pension-credit dates flood branches; call lines queue; families call on behalf of parents and re-explain each time. | VoiceIVR replacementWhatsApp | |||
Mass-retail inbound deflection In-conversation resolution of the top 20 retail intents across 6+ languages; humans reserved for exceptions and complaints. | 180M customers generate balance, statement, card, FD, and scheme queries at a volume no PSU contact center fully absorbs. Friction today: DTMF IVR in two languages; long queues; agents re-authenticate and defer to service requests; unresolved callers become branch footfall. | VoiceWhatsAppApp chat | |||
Agri & KCC seasonal outreach Proactive, policy-timed vernacular reminders on KCC renewals and subvention deadlines with branch-visit scheduling; renewal rates measured per region. | Kisan Credit Card renewals, interest-subvention deadlines, and crop-season credit needs are calendar-driven conversations across rural north India. Friction today: Outreach is branch-discretionary; farmers learn of renewal deadlines late; missed subvention windows cost both sides. | VoiceSMSWhatsApp |
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 Punjab National Bank's measured baseline. Package price covers implementation only; recurring usage billed separately.
Why this package for Punjab National Bank: PNB's scale (180M customers, ~10,000 branches) and multi-workflow need — retail servicing, pensions, agri/KCC, collections — matches the phased multi-BU transform scope, sequenced to PSU procurement reality.
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.
“PNB's franchise is trust in the Hindi belt; an agent that answers in the customer's own language at any hour extends that trust beyond branch timings without adding a rupee of branch cost.”
“One governed conversational layer grounds on CBS and PNB One APIs — replacing IVR menus rather than adding another bot, with the audit trail your controls environment demands.”
“Counter time recovered from status-grade queries is capacity you cannot hire under PSU cost discipline — deflection returns it at every one of ~10,000 branches.”
“Pension, PMJDY, and KCC servicing become instrumented journeys with per-region dashboards, replacing anecdote from circle offices.”
“Post-2018, evidencable process is the house standard: every conversation logged, scored, and script-bounded is a stronger control than sampled call QA.”
“At PSU cost-per-contact levels the case is still decisive on volume alone — and a usage-priced, outcome-measured structure fits a staged RFP with defined success criteria.”
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.
India's second-largest PSU bank by branches (~10,000) with 180M+ customers concentrated in the Hindi belt — one of the largest pensioner and government-scheme servicing bases in the country, under explicit cost-to-income and controls-modernization mandates.
Pre-RFP discovery with the digital banking vertical: quantify pension-season call and footfall spikes in two circles and shape tender specifications around a measurable vernacular pilot.
Entry: Vernacular retail servicing & pension line · Transform package · 14–20 weeks phased across units. 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.