Yes — an AI voice agent can call every rooftop solar and subsidy lead within minutes of an enquiry, explain the exact PM Surya Ghar and state subsidy math accurately every single time, qualify roof ownership and budget, and book a site survey — often before a competing installer has picked up the phone.
India's rooftop solar market has become a phone-first, subsidy-driven sales category almost overnight. Since the central government launched the PM Surya Ghar: Muft Bijli Yojana in February 2024, homeowners across Uttar Pradesh, Bihar, Madhya Pradesh, Maharashtra, Tamil Nadu, Karnataka, Jharkhand, and Chhattisgarh have been searching for and enquiring about rooftop solar in numbers most EPC companies and dealerships aren't staffed to answer fast enough. This guide covers what the subsidy actually offers, what's changed state by state, why response speed decides who wins the sale, and exactly how an AI voice agent handles the calling and qualification work.
PM Surya Ghar: Muft Bijli Yojana, Explained
PM Surya Ghar: Muft Bijli Yojana is the Government of India's national rooftop solar subsidy scheme, launched on 13 February 2024 and run through the official portal, pmsuryaghar.gov.in. It's the single biggest reason India's residential solar enquiry volume has surged — and the reason most inbound and outbound solar calls today start with a question about subsidy eligibility, not the panels themselves.
- Central subsidy of ₹30,000 per kW for the first 2 kW, and ₹18,000 for the 3rd kW — up to a maximum of ₹78,000 for systems of 3 kW or larger
- Up to 300 units of free electricity per month for eligible households, based on system size and consumption
- Unsecured collateral-free loans of up to ₹2 lakh available for systems up to 3 kW, at concessional rates
- The subsidy is credited directly to the applicant's bank account, typically 30–45 days after DISCOM inspection and commissioning — there is no agent fee involved anywhere in the official process
- Applications and eligibility checks run through the official national portal; only ALMM-listed (Approved List of Models and Manufacturers) equipment qualifies
State-by-State Solar Subsidy Breakdown
The central subsidy applies nationwide, but several states add their own top-up on top of it — which changes the pitch, and the urgency, on every call. Here's what we found researching the states with the most active rooftop solar demand right now.
| State | Nodal agency | State-level support | Combined potential |
|---|---|---|---|
| Uttar Pradesh | UPNEDA | Additional ₹15,000/kW, capped at ₹30,000/household | Up to ₹1,08,000 for a 3 kW system |
| Bihar | BREDA | Additional ₹10,000/kW, capped at ₹20,000/household | Up to ₹98,000 for a 3 kW system |
| Maharashtra | MEDA / MSEDCL | MEDA adds ₹5,000–₹10,000/kW for general households; the state's Swayampurna (SMART) scheme gives BPL, EWS, SC and ST households under 100 units/month a much larger top-up | Up to ₹88,000 for general households; up to ~95% of system cost for eligible BPL/EWS/SC/ST households |
| Tamil Nadu | Tamil Nadu Green Energy Corp. (formerly TEDA) | August 2026 state budget added a top-up converging with the central subsidy (₹50 crore allocated); exact centre/state split awaits scheme guidelines | Up to ₹1,00,000 combined per household (ceiling confirmed; per-kW split pending) |
| Madhya Pradesh | MPUVN | Relies on the central subsidy alone — no additional state top-up published at the time of writing | Up to ₹78,000 (central only) |
| Karnataka | KREDL | No separate state top-up for residential rooftop solar; KREDL's other subsidy programmes cover solar water heaters, a different category | Up to ₹78,000 (central only) |
| Jharkhand | JREDA | Additional ₹15,000/kW for 1–3 kW systems for households with annual income under ₹3 lakh | Up to ₹1,23,000 for eligible low-income households; ₹78,000 for others |
| Chhattisgarh | CREDA | Administers an additional state-level top-up on top of the central subsidy; published per-kW figures vary by source | ₹78,000 central, plus a variable state top-up (confirm with CREDA) |
A few things stand out. Uttar Pradesh and Bihar currently stack a confirmed, flat per-kW state top-up on the central subsidy. Maharashtra runs two tiers — a modest top-up for general households, and a much larger one for BPL/EWS/SC/ST households under MSEDCL's Swayampurna scheme. Tamil Nadu's August 2026 budget confirmed a combined ceiling but hasn't yet published the center/state split. Karnataka has confirmed no separate residential top-up, and Madhya Pradesh currently relies on the central scheme alone. Jharkhand's top-up is income-linked rather than universal. This is exactly the kind of state-by-state nuance an inconsistent, rep-to-rep phone process gets wrong — and exactly what a single, centrally-maintained AI voice script gets right, call after call.
Why Solar Leads Go Cold Fast
A subsidy-driven rooftop solar lead behaves differently from a typical B2C lead: it's usually urgent (the homeowner has already decided they want to save on their electricity bill), price-sensitive (the subsidy is the entire reason they're calling), and rarely exclusive — the same enquiry submitted on a comparison site or a Meta lead ad form is frequently sold or shown to more than one installer at once. Whichever company calls back first, with clear and accurate answers, usually gets the site visit.
Neither of these studies is solar-specific or a Vaami result — they're general sales-response-time research, cited here because the underlying dynamic (fast, consistent follow-up wins) applies directly to a subsidy lead who is very likely comparing more than one installer at once. A rooftop solar business's actual conversion lift from faster response will depend on its own lead sources, sales process, and close rate — worth confirming with real data in a pilot rather than assuming a generic number transfers directly.
How an AI Voice Agent Qualifies a Solar Lead
The workflow is straightforward, and doesn't require ripping out whatever lead-capture setup already exists:
- 01Connect a lead source — a CSV/Excel list, a Google Sheet, a Meta or Google Lead Ads form, or a CRM export. No IT project or ATS-style integration is required to start.
- 02The AI voice agent calls the lead within minutes, introduces itself and the business it's calling on behalf of, and explains the current central and (where applicable) state subsidy the lead may qualify for.
- 03It asks the qualifying questions an estimator actually needs: roof ownership, average monthly electricity bill or sanctioned load, DISCOM, budget range, and preferred timeline — while answering the lead's own questions about savings, payback period, and the installation process.
- 04Genuinely interested, qualified leads get a site-survey appointment booked directly into the sales team's calendar, on the same call.
- 05Every call produces a recording and full transcript, and the lead is ranked and synced to a dashboard, spreadsheet, or CRM — so the sales team opens a prioritized list instead of a raw dial queue.
A short excerpt of an AI voice agent handling a rooftop solar subsidy enquiry.
Avoiding the "Scam Call" Problem
Government-subsidy phone calls carry real baggage in India — fraudulent callers claiming to represent a subsidy scheme and asking for an upfront "processing fee" or bank OTP are a well-known problem, and any legitimate solar business calling about PM Surya Ghar has to actively work against that association, not ignore it.
- Always state the business's name and the reason for the call in the first sentence, before anything else
- Disclose clearly that the call is from an AI assistant, not a government official or a live human agent pretending otherwise
- Never ask for an OTP, a bank PIN, or any upfront payment — the PM Surya Ghar subsidy itself is disbursed directly to the applicant's bank account, with no fee to any agent or installer in the official process
- Offer a clear, low-pressure path to verify legitimacy — a callback number, a company website, or an offer to check details directly on pmsuryaghar.gov.in
- Keep every call recorded and transcribed, so a lead who later has questions about what was said has a verifiable record, not a he-said/she-said dispute
Calling in the Customer's Own Language
Solar demand is concentrated well beyond India's metro markets — Uttar Pradesh, Bihar, Madhya Pradesh, Maharashtra, Tamil Nadu, Karnataka, Jharkhand, and Chhattisgarh all have genuinely active, subsidy-driven enquiry volume, much of it from Tier 2 and Tier 3 towns. An AI voice agent built on Indic speech models and calling in English, Hindi, and regional Indian languages meaningfully raises pickup and completion rates in these markets, for the same reason it does in any Indian outbound-calling use case: a caller who understands the accent and phrasing finishes the conversation instead of hanging up.
Vaami calls every rooftop solar enquiry within minutes, explains the current subsidy accurately, and books the site survey — in English, Hindi, and regional Indian languages.
The subsidy is the hook that gets a homeowner to enquire in the first place — but the sale still goes to whichever installer calls back first with clear, accurate, consistent answers, and makes it easy to book the next step. That's the specific, narrow job an AI voice agent does well here: instant, accurate, always-on calling and qualification, freeing the sales and survey team to focus on the site visit and the close.
What India's outbound-calling regulations mean for solar businesses running lead-calling campaigns.