An Indian peer-to-peer lending platform had built a strong direct lending operation. It connected personal loan borrowers with investors seeking risk-optimised returns, supported automated EMI collection, and used a proprietary credit assessment algorithm.
The market was moving faster through partner-led origination. Competitors were acquiring borrowers at the point of sale through channels such as vehicle retailers and insurance partners. These partners needed loan journeys inside their own operating flows.
The lender could not support that model with its existing architecture.
Its Loan Origination System, Loan Management System, and investment platform were tightly coupled. Exposing origination capabilities to external partners would have created operational and technical risk. Each partner also had different process requirements:
The platform also lacked a short-term bullet loan product. KYC, credit checks, e-signatures, and eNach flows needed third-party integrations that were either missing or not ready for partner-scale automation.
Manual steps slowed down borrower onboarding and sanctioning. The lender needed a parallel loan origination capability that could work with partners while the live platform continued serving existing customers.
Technogise was brought in to build a parallel loan origination system and progressively extract origination from the existing platform.
The team started with a 2-week inception. Technogise mapped the loan management system, underwriting processes, verification steps, and cost-of-automation tradeoffs. This helped the lender decide which processes to automate first and where third-party integrations would reduce turnaround time.
The Phase 1 team included:
The programme also required coordination with a third-party vendor managing the legacy platform.
Technogise used the strangler fig pattern to extract the Loan Origination System incrementally. This allowed the lender to keep the live platform running while new origination capabilities were built around it.
The architecture introduced partner-facing origination without forcing a full replacement of the legacy system in one step. This reduced delivery risk and allowed the team to validate partner workflows in production.
Core technologies included Java, Spring Boot, React, AWS SQS, and SQL.
Key integrations included:
Karza for KYC and identity verificationTransUnion CIBIL for credit bureau checksDigio for e-signaturesIngenico/Worldline for eNach2Factor for communication flowsThe first 9 months focused on a self-service Partner Portal for agents.
The portal allowed partner agents to onboard borrowers digitally and move applications through a structured approval flow. It included:
KarzaDigioTwo partners were successfully onboarded in this phase.
The next phase focused on making partner integration more scalable.
Technogise built an API-first framework with a Journey Builder. This allowed partners to embed lending services into their own interfaces and configure borrower journeys based on their process requirements.
The Journey Builder addressed a core business constraint: partners did not follow a single loan application sequence. Some required phone verification first. Others required Aadhaar verification first. Some needed different document sets.
The framework allowed the lender to support these variations without rebuilding the origination flow for every partner.
This phase also added:
Approximately 4 to 5 additional partners were onboarded (to verify).
Technogise then built a 7-day emergency bullet loan product in partnership with a medical insurance provider.
The product was designed for full automation from application to disbursement. The workflow included eNach setup through Ingenico/Worldline, enabling automated repayment collection.
The bullet loan product was delivered fully into production.
Technogise also conducted cost analysis across third-party document verification providers.
The analysis compared provider costs and error rates, helping the lender choose integrations based on operational fit rather than price alone.
The lender moved from a tightly coupled origination setup to a partner-ready lending architecture.
The new system allowed external partners to originate loan applications digitally, with configurable journeys and automated verification steps. The lender could now support partner-led acquisition channels that were previously inaccessible.
Concrete outcomes included:
The most important engineering outcome was architectural: the lender gained a separate, extensible origination layer while keeping the existing lending platform operational. This made partner-led lending possible without a high-risk platform rewrite.