RING by Kissht x RevRag AI
Digital Lending · In-App AI Agent

RING by Kissht: Turning comparison into conversion

RING by Kissht is a fast-growing lending app where borrowers compare loan offers from multiple lenders before choosing one to proceed with. That comparison moment carries the highest intent in the journey, and equipping borrowers with real-time answers proved decisive in turning hesitation into confident action.

RING by Kissht embedded RevRag AI's in-app agent on its loan offer page to answer EMI, lender, and fee questions in real time. The agent routinely holds conversations lasting more than two minutes, resolving real-time questions, and 60% of borrowers who engage with it move forward with their application.

Before vs after

From guesswork to guided decisions

Previously, borrowers compared loan offers with no one to consult, and many disengaged before reaching a decision. Now, a meaningful share of conversations run long enough to reflect genuine engagement, and most borrowers who speak with the agent go on to submit their application with confidence, right at the moment the decision is made.

Challenge

Borrowers were left to figure it out alone

RING lets borrowers compare loan offers from multiple lenders, each carrying different amounts, EMIs, and fees. This comparison stage represents the highest-intent point in the borrower journey, yet without real-time answers, many borrowers were left to evaluate offers unassisted. Questions about fees, EMIs, or approval went unanswered, and in the absence of that clarity, many hesitated rather than taking the next step.

Solution

An In-App Agent that resolves every question the moment it arises

RevRag AI's in-app agent is embedded directly on the loan offer page, resolving EMI, lender, and fee questions in plain language the instant a borrower raises them, rather than leaving them to guess.

  • Walks borrowers through the entire loan journey, from comparing offers to final approval
  • Compares available lender offers and identifies the one best suited to the borrower's needs
  • Customises loan terms in real time based on what the borrower is looking for
  • Builds a profile of each borrower to personalise its recommendations
  • Hands off to a human agent whenever a borrower asks for one

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