India's Green Lending Push: The Platform Readiness Question

India imports approximately 87% of its crude oil. With the Middle East in prolonged conflict and crude above $100 per barrel, this dependence has moved from a background cost to an active pressure point. We discussed the pressures on India's current account in a previous issue. Policy responses to reduce this dependence have already been going on. India hit its E20 ethanol blending target 5 years ahead of schedule. EV sales crossed 2 million units in 2024. PM Surya Ghar is targeting 10 million rooftop solar households.

For lenders operating in the green lending space, the market case is no longer the hard question. Operational readiness is. Green loan products carry specific requirements that standard LOS and LMS setups were not built to handle, and these requirements surface at both launch and scale.

1. Why the Market Signal Is Structural

EV financing in India was valued at approximately $2.4 billion in 2025. Market estimates project growth at around 53% CAGR to 2030. Rooftop solar presents a parallel picture. India crossed 82 GW of total solar capacity in 2025, but only around 13 GW comes from rooftop or distributed installations. The IEA projects distributed solar could grow at more than 25% CAGR to 2030, conditional on financing bottlenecks being resolved. PM Surya Ghar is designed to address that gap. It offers loans up to INR 2 lakh at 7.10% per annum for installations up to 3 kW, collateral-free, with tenures up to 10 years.

The more durable signal is the oil import connection. India's crude dependence is a direct balance of payments exposure. Every percentage point gained in EV or solar adoption reduces imported energy demand. The government's incentive to sustain green transition support runs well beyond any single budget cycle.

Also, the RBI's green deposits and climate risk disclosure directions signal that verifiable green portfolios will increasingly affect an NBFC's own cost of funds and access to institutional capital.

2. Where Operational Reality Diverges

The industry conversation about green lending focuses significantly on credit model questions. These include residual values for EV assets, alternative underwriting for non-traditional borrowers, and the cost of funds gap smaller NBFCs face. What tends to surface later is that green loan products have specific operational requirements. Most existing platforms were not designed for them. This usually becomes visible after a product has launched, when it is significantly harder to address.

• Application sourcing architecture does not map to conventional setups. EV loans flow through OEM and dealer networks. Solar loans come through installer channels. An LOS built for branch or DSA origination requires significant reconfiguration. The problem compounds across hundreds of dealers in multiple states. Each requires separate access controls and MIS.

  
  

• Document and verification sets are product-specific. EV loans require vehicle registration category (L2 or L5), PM e-DRIVE eligibility verification, battery warranty, and insurance assignment. Solar loans add site survey outputs, PM Surya Ghar subsidy status, and installer empanelment. Each affects credit decisions and disbursement sequencing. None appear in standard auto or MSME loan templates.

  
  

• Residual value assumptions from ICE lending do not transfer. No mature secondary market for used EVs exists in India yet. Write-off triggers built for ICE vehicle finance carry embedded assumptions. When applied to EV portfolios, these create operational errors. They often go undetected until they surface in live accounts.

  
  

• Dealer management at scale creates its own operational layer. Scaling from 50 to 500 or more dealers requires automated empanelment and role-based access. Disbursement-to-dealer tracking and channel-level delinquency monitoring are also essential. For growing lenders, this gap surfaces only after dealer volumes exceed what manual oversight can handle.

  
  

• EV asset risk extends beyond disbursement. A commercial 3W battery may need replacement within 2-3 years, well inside a 4-5 year loan tenure. When battery performance drops, borrower income falls, often before any payment is missed. Standard LMS platforms carry no trigger for this. Monitoring asset health and supporting mid-tenure interventions (like top-up loans) must be built in.

  
  

• Dominant co-lending structures require compliant platform design. Most mid-market NBFCs will co-originate green loans, not hold 100% on their own balance sheet. RBI's Co-Lending Model (CLM) requires split disbursements, dual credit policy rules, and real-time escrow routing. These are not default features on standard platforms and need to be designed for upfront.

3. The Ecosystem Dimension

Beyond platform configuration, there is a sourcing relationship challenge. OEM integrations, installer empanelments, and LSP tie-ups each require negotiation and technical integration. For a new entrant, building these from scratch takes 6 to 12 months before meaningful volumes flow. For a lender adding a new green product, the process restarts for each new channel.

A platform with existing point-to-point API integrations across active green ecosystem partners changes this calculus. A lender joining such a platform inherits live demand connections, not an empty pipeline. The first loan can be booked before the commercial team has finished its own channel development.

Since the sourcing ecosystem is young and consolidating, platform-level integrations tend to be sticky. Early access to active demand partnerships is a commercial advantage that credit policy design alone cannot replicate.

4. OneFin in Green Lending

Deployment at Scale

OneFin has built up significant expertise in this space. In a particular case, it helped a green NBFC, that had no existing lending infrastructure, get started on 2W and 3W EV, rooftop solar, and energy-efficient SME lending. 14 months after go-live, it had helped its clients disburse INR 600 Cr+. It had served 26,000+ borrowers through 1,800+ dealerships across 14 states and 3,000+ pincodes. 10 loan products ran on a single integrated platform: multiple EV categories, rooftop solar, supply chain finance, and business loans.

Platform Capabilities

(A) Multi-product architecture: A single LOS and LMS supports 10+ green loan products. Each has its own document set, parameters, and accounting configuration.

(B) Green asset-specific workflows: EV hypothecation and PM e-DRIVE eligibility are built into origination. Battery warranty tracking follows the same logic. For solar, installer empanelment and PM Surya Ghar subsidy status are handled within the same flow.

(C) Pre-integrated demand ecosystem: Several leading EV OEMs, rooftop solar installers, and LSPs are connected via point-to-point APIs to the OneFin platform. New lenders access active lead flow from day 1 through pre-integrated and qualified demand.

(D) Dealer Management System: Automated empanelment and role-based access for dealers, OEMs, and LSPs. Includes dealership-level MIS and delinquency monitoring by sourcing channels.

(E) Co-lending architecture: Split-disbursement, dual credit policy rules, and real-time escrow routing are built in. These support CLM partnerships with banks and enable portfolio growth without proportionate balance sheet exposure.

(F) Scale infrastructure: Automated reconciliation covers dealer disbursements, payment gateways, and NACH and UPI collections. Cross-region disaster recovery on AWS is built in.

Conclusion

The structural case for green lending is solid. Policy support is tied to India's balance of payments interests, which makes it more durable than a subsidy programme linked to annual budgets. The market is on a massive growth trajectory.

For mid-market lenders building a green lending capability, the question is whether to build it with infrastructure that handles the specific requirements of green assets from the start, or to retrofit under volume pressure later. Platform readiness, ecosystem access, and multi-product configuration are significantly easier to address at the initial stage.

Credit policy and operational infrastructure are not sequential problems. They run in parallel and surface on different timelines. Lenders will be better served to treat them that way so when green lending volumes scale up, they are ready to go.

To know more about OneFin, schedule a Demo.