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Sentinel boosts IIFL Finance approvals by 17%, increases business loan average ticket size by ₹3-4 lakhs

The challenge
  • Long turnaround time for credit policy modifications due to limited configurability of in-house rules engine

  • High drop-off rates due to cumbersome application journeys and external downtime (For e.g. Account Aggregator)

  • High rejection rates caused by limited insights from a single bank account

  • No feedback loop to optimise journeys

Key results

95%

Reduction in turnaround time for policy changes

17%

Increase in approval rates

₹3-4 lakhs

Average BL ticket size

41%

Account Aggregator adoption rate

How Sentinel addressed these challenges

With FinBox’s no-code BRE Sentinel, IIFL Finance was able to create adaptive journeys based on the applicant’s risk profile.


For higher-risk applicants, Sentinel prompted real-time requests for additional bank data and made decisions based on consolidated insights, turning likely rejections into approvals.


Creditworthy applicants were directed to a booster flow, enabling them to access higher loan amounts, thereby increasing Average Ticket Size (ATS


Several other adaptive flows were devised on Sentinel to minimise drop-offs at various touchpoints. Here are a few examples:
Data-sharing was tailored to the applicant’s bank, offering the most effective method—via statement uploads, net banking, or the Account Aggregator (AA) framework. This boosted AA adoption to 41%, far exceeding the 8% industry benchmark, and cut upstream costs.


Implemented a more flexible and competitive pricing strategy by pricing loans not only according to applicants’ risk profiles but also based on the partnership terms with the originating channel.

With FinBox’s no-code BRE Sentinel, IIFL Finance was able to create adaptive journeys based on the applicant’s risk profile.


For higher-risk applicants, Sentinel prompted real-time requests for additional bank data and made decisions based on consolidated insights, turning likely rejections into approvals.


Creditworthy applicants were directed to a booster flow, enabling them to access higher loan amounts, thereby increasing Average Ticket Size (ATS


Several other adaptive flows were devised on Sentinel to minimise drop-offs at various touchpoints. Here are a few examples:
Data-sharing was tailored to the applicant’s bank, offering the most effective method—via statement uploads, net banking, or the Account Aggregator (AA) framework. This boosted AA adoption to 41%, far exceeding the 8% industry benchmark, and cut upstream costs.


Implemented a more flexible and competitive pricing strategy by pricing loans not only according to applicants’ risk profiles but also based on the partnership terms with the originating channel.