A utility's contact demand is spiky (outages) and cyclical (billing); an agentic layer for outage status, bill explanation, and new-connection tracking absorbs the spikes in local languages, while solar and EV-charging arms get a sales-grade conversational funnel.
Tata Power distributes electricity to over 12 million customers across Mumbai, Delhi (Tata Power-DDL), and Odisha discoms, alongside generation and renewables businesses.
Public factIt operates one of India's largest public EV-charging networks (EZ Charge) and a leading rooftop-solar business — both consumer-facing growth lines with sales funnels.
Public factSmart-meter rollouts across its discoms are changing billing granularity and creating a new class of 'why is my bill different' customer queries.
Public factOutage events concentrate thousands of near-identical status calls into short windows — the classic case where proactive area-based updates suppress inbound volume.
Reasoned inferenceMonsoon-season outage spikes in Mumbai and Odisha likely dominate annual contact-center stress, making a pre-monsoon pilot the natural timing hook.
Seller hypothesis — validateValidate with the account team before outreach: OMS/billing API readiness per discom (Mumbai vs. Delhi vs. Odisha maturity differs) · Procurement route: discom-level vs. Tata Power group digital office · Regulatory constraints on proactive customer communication per state ERC
Limited internal ability or appetite to build the core platform — strong candidate for the packaged solution
Evidence: A regulated utility whose engineering is grid, generation, and OT-centric; customer-facing IT (billing/CIS, outage management) is bought from vendors under conservative procurement cycles. There is no internal AI organization aimed at customer experience, and discom cost scrutiny by regulators favors provable purchased solutions.
Why they won't build the full stack: Utility engineering priorities are smart-meter rollout, network reliability, and renewables — building conversational AI would be an off-mission use of regulated-entity budgets that ERCs scrutinize. A contained, benchmarked purchase fits both the procurement culture and the regulatory optics.
Continued emphasis on renewables growth, smart-meter rollout across discoms, and EV-charging network expansion.
GTM implication: Smart meters are changing bills faster than customer understanding — bill-explanation automation rides an already-funded program and reduces regulator-visible complaints.
| Workflow | Why it matters here | Value | Complexity | Speed | Channels |
|---|---|---|---|---|---|
Outage status & proactive restoration updates Area-grounded status and restoration ETAs pushed proactively; spike volume suppressed. | Outage calls are the utility's defining spike; every proactive update is a call that never happens. Friction today: Customers call repeatedly for the same area-level answer; IVR gives generic messages. | WhatsAppSMSVoice | |||
Bill explanation & payment Personalized bill explanation from consumption data with in-channel payment; complaint volume down. | Bill-shock queries cluster after billing cycles and smart-meter transitions; unresolved ones become regulator complaints. Friction today: Agents read tariff tables; customers want their bill explained, not tariff policy. | WhatsAppVoice | |||
Rooftop-solar & EZ Charge lead funnel Qualified solar/charging leads with subsidy-scheme grounding, surveys booked for field teams. | Solar and EV-charging are growth businesses needing consultative lead handling, not utility service queues. Friction today: Subsidy, net-metering, and installation questions overwhelm generic call scripts. | WhatsAppWeb chatVoice |
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 Tata Power's measured baseline. Package price covers implementation only; recurring usage billed separately.
Why this package for Tata Power: Utility procurement rewards a contained, provable pilot: one discom geography, outage plus billing workflows, clear deflection metrics — Launch scope, then group-wide expansion across discoms and the solar/EV arms.
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.
“Tata Power's story spans discoms, solar, and EV charging — one conversational layer serves all three, turning a cost-center pilot into group-wide customer infrastructure.”
“Integration is OMS, billing, and payment APIs in one discom geography — a contained Launch pilot with utility-grade logging, deployable before the next monsoon season.”
“Your call centers are sized for outage nights that happen twelve times a year. Proactive area-grounded updates flatten that peak permanently.”
“Smart meters changed bills faster than customer understanding. Conversational bill explanation in Marathi, Hindi, and Odia is how you keep trust — and regulator complaint counts — in check.”
“Regulator-visible service standards (restoration communication, complaint SLAs) get audit-complete conversation records; DPDP-aligned consent governs all proactive outreach.”
“A Launch-priced pilot with deflection metrics on your two most predictable peaks — outage nights and billing weeks — gives procurement a clean, benchmarked expansion decision.”
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.
Distribution utility serving ~12M+ customers (Mumbai, Delhi, Odisha) with growing rooftop-solar and EV-charging businesses — high-volume, low-complexity billing and outage conversations, but conservative utility procurement cycles temper deal speed.
Scope a pre-monsoon Launch pilot in the Mumbai discom on outage and billing workflows, with call-deflection baselines from last monsoon season.
Entry: Outage status & billing-query resolution for distribution customers · Launch package · 8–10 weeks to a live, measured pilot. 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.