Client use cases

Chat with guidelines and policies, get anwers in seconds

Giving US car dealerships instant, source-backed answers to any car loan guideline questions, 24/7.

Financial services

The challenge

Car loan sales reps from 50+ US banks waste hours every day answering calls (even during evenings) from car dealership sales reps, who are sitting in their office with a client: “What’s the maximum loan amount in Florida?” and other questions that just can be looked up in car load guideline pdf's. Subject-matter experts drown in repeat questions, and inconsistent answers create risk.

Ramen AI's solution

We implemented an AI Policy & Guideline Chatbot that ingests car loan guideline PDFs from 50+ large US banks, and that can be used by car dealership sales reps to answer all their car loan related questions directly when they are sealing a deal with one of their customers.

How we did it

  1. Document ingestion – Uploads policies, and guidelines into RAG pipeline.

  2. Semantic search – LLM retrieves the exact clauses that answer the user’s question.

  3. Answer generation + citations – Returns a concise answer with inline sources so users can verify.

  4. Continuous learning – New or updated documents are re-indexed automatically overnight.

The results

Saving 2-3 hours for car loan sales reps every day (and evenings).

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