IndiaTelecomScale · $100K
Vodafone Idea

Vi cannot outspend Jio and Airtel on service — it can out-automate them per rupee

For an operator whose survival math depends on slowing churn while cutting cost, an agentic retention and service layer is one of the few investments that attacks both sides of the equation simultaneously.

Entry use case
Port-out prevention & at-risk subscriber retention
Expected outcome
Contact 100% of at-risk and port-out-signal subscribers conversationally within hours instead of the fraction a shrinking outbound team can reach, with offers bounded by an approved matrix.
Recommended next step
Propose a 90-day retention pilot in two strong circles (Maharashtra, Gujarat) with a save-rate baseline and an offer matrix signed off by Vi's revenue team.
What we understand

Vodafone Idea's operating reality

The government converted dues into equity and holds roughly 49% of Vodafone Idea; a 2025-26 relief package froze large AGR dues with payments capped at low annual amounts from March 2026.

Public fact

Vi has lost subscribers continuously to Jio and Airtel for years; after its 2025 fundraise it expanded 4G coverage, added ~17,000 towers, and launched 5G in 17 circles, slowing but not stopping losses.

Public fact

Vi's strongest circles remain Maharashtra, Gujarat, Kerala, and Mumbai — retention economics concentrate in a handful of geographies and languages.

Public fact

With capex committed to network catch-up, opex lines like contact-center spend face permanent pressure — automation is a survival lever, not an innovation project.

Reasoned inference

Port-out requests generate a UPC-code signal window during which a conversational save attempt is possible; Vi's outbound capacity likely covers only a fraction of these windows today.

Seller hypothesis — validate

Validate with the account team before outreach: Current save-desk coverage rate of port-out signal windows · Procurement reality: appetite and budget cycle under the cost-transformation program · Existing cloud/AI vendor commitments (Vi has historically worked with multiple network vendors)

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: Survival economics leave no room for an internal AI build: engineering bandwidth is consumed by 4G/5G network catch-up, opex must shrink structurally, and Vi has no AI platform organization of scale. Every technology decision is a procurement decision under capital discipline.

Why they won't build the full stack: Building would require hiring an AI team while cutting costs everywhere else — strategically incoherent for a company whose investor story is cost transformation. A usage-priced bought solution that scales down as well as up matches Vi's capital reality exactly.

What management is signalling

Cash-flow and AGR stress dominate the investor narrative: government dues converted to ~49% equity, relief packages capping near-term payments, and continued subscriber losses.

Reported factFY25 annual report and public disclosures · 2025

GTM implication: Frame the deal as one of the few line items that cuts opex and defends revenue simultaneously — cost-per-saved-subscriber against blended ARPU.

Management flags cost optimization as a survival priority alongside committed network capex.

InferenceRecent investor communications (validate) · 2025-2026

GTM implication: Keep entry scope small and usage-priced; procurement will reject anything resembling a platform program.

What already exists (don't pitch this)
  • Vi app self-service for the app-native minority
  • Basic chatbot and DTMF IVR in limited languages
  • Outsourced contact centers under cost pressure
What customers still can't do end-to-end (pitch this)
  • →Save-desk coverage of port-out signal windows (fraction attempted today)
  • →Vernacular voice across its strongest circles
  • →Proactive retention outreach at base scale
  • →In-channel recharge/payment completion
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Port-out prevention & retention
100% of save windows attempted conversationally; save rate measured and attributed.
Every retained subscriber directly extends Vi's survival runway; churn is the existential metric.
Friction today: Outbound save-desk capacity reaches a fraction of port-out signals within the decision window.
VoiceWhatsAppSMS
Recharge & plan service deflection
In-channel recharge and plan resolution at self-service economics.
Every deflected human contact is direct opex removed from a P&L that must shrink.
Friction today: Limited-language IVR; contact-center spend competes with network capex.
VoiceWhatsApp
5G/4G upgrade migration outreach
DND-compliant conversational migration with device/coverage checks in-flow.
The new network only pays back if subscribers move onto it before deciding to port.
Friction today: Campaign SMS ignored; no conversational channel to handle 'is 5G available for me' questions.
WhatsAppVoice
Watch the change

Port-out prevention & at-risk subscriber retention: today vs the agentic model

Scenario: A 12-year Vi subscriber in Pune requests a porting code after two weeks of patchy 4G, and no save call ever comes
Today
same interaction, two worlds
Agentic layer
At-risk base contacted
capacity-limited fraction
100% attempted
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
  • · At-risk base contacted: Platform capability; save rate measured in pilot
  • · 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 · Vodafone Idea
CRMChurn-signal feedOffer matrixBSS/BillingPayment gatewayCampaign managerCoverage/provisioning

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

Trust & languages
HindiEnglishMarathiGujaratiMalayalamBengaliTamil

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 ($)$0.6
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$4.8M
Current operating cost / mo
$13.2M
Modelled gross benefit / yr
0.1 mo
Payback on Scale
71%
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$3.7M

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 Vodafone Idea'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 Vodafone Idea: Vi needs multi-workflow impact (retention + service deflection) fast, but capital discipline rules out a Transform-scale program; Scale hits retention and cost lines in one deployment.

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: CRM, Churn-signal feed, Offer matrix
  • · A named business owner for port-out prevention & at-risk subscriber retention
  • · Security review counterpart and policy sign-off (CRM scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“Vi's equity story is 'losses slowing, network catching up'. A measurable churn-reduction engine is one of the cheapest proof points you can put in front of investors and the government board seats.”

CIO / CTO

“No rip-and-replace: the agent layer sits on existing BSS/CRM APIs, starts in your four strongest circles, and its usage-based cost scales down as well as up — matching Vi's capital reality.”

COO

“You cannot staff your way to covering every port-out window. An agent attempts 100% of them within hours, and hands hardship or high-value cases to your save specialists with full context.”

Chief Customer Experience Officer

“Vi's service perception drives churn as much as network does. Consistent, instant, vernacular answers are achievable now, without growing headcount you cannot afford.”

Chief Risk / Compliance Officer

“With ~49% government ownership, auditability matters doubly: every retention offer comes from an approved matrix, every conversation is logged, TRAI DND and DPDP compliance are enforced by policy.”

CFO / Procurement

“This is one of the few line items that cuts opex and defends revenue at once. Model it as cost-per-saved-subscriber against your blended ARPU and current save-desk cost.”

Outreach

Pre-built offer emails for Vodafone Idea

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

Third operator (~190M subscribers) in existential cost-cutting mode: AGR relief and government ~49% ownership bought time, but survival now depends on stemming subscriber losses at minimum cost — extreme fit for automation economics, constrained budgets.

Recommended next step

Propose a 90-day retention pilot in two strong circles (Maharashtra, Gujarat) with a save-rate baseline and an offer matrix signed off by Vi's revenue team.

Entry: Port-out prevention & at-risk subscriber retention · 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.