How do you handle multiple loan types in a lending platform?

Upload your policy documents, rate sheets, and eligibility criteria for each loan product into Chatref. The platform uses those files to ground every response, so a personal loan inquiry never gets mixed with a business loan answer. You can organize content into separate agents or use one agent with clearly scoped data, depending on how you want queries routed. Either way, each loan type stays distinct and answers are pulled only from the relevant source documents, never from generic internet searches.

Borrowers reach out from your website, email, WhatsApp, or Slack. Chatref’s omnichannel capability lets a single AI agent handle conversations on all those channels without losing context. When a customer asks about a mortgage on your site, then follows up in email, the agent remembers the loan type and picks up the conversation seamlessly. This flexibility reduces duplicate work and ensures borrowers get consistent answers no matter where they start.

Add the Chatref widget to your lending portal, product pages, or application dashboard. A borrower exploring auto loans can ask questions right on that page, while another reviewing a line of credit can do the same in their own session. The widget recognizes which agent is active and serves answers trained on the relevant loan product docs. It’s a single snippet that adapts to multiple loan types without requiring separate setups per page.

Lending platforms often serve communities where borrowers speak different languages. Chatref can answer in up to 11 languages from the same underlying loan documents. A Spanish-speaking borrower inquiring about a personal loan gets the same grounded, policy-accurate response as an English speaker. You don’t need to translate documents manually; the agent handles language detection and replies in the borrower’s preferred language, maintaining lending platform flexibility across all markets.

What features should a lending platform have to handle multiple loan types?

It should include a flexible knowledge base that can ingest and separate documents per loan product, an AI answering engine that stays grounded in those docs, omnichannel support to manage inquiries across web, email, and messaging apps, a website widget for in-context help, and multilingual capabilities to serve a diverse borrower base. Chatref delivers all of these without per-feature fees or per-agent limits, so you can scale support as you add loan types.

How do you configure different loan types in a lending platform?

In Chatref, you create an AI agent and upload the specific documents (PDFs, URLs, text) for each loan type. You can create separate agents for personal, business, mortgage, etc., or structure one agent with folders and tags to route questions to the right data. There’s no coding required. Once configured, test responses in the playground to ensure answers reference the correct loan product before going live.

Can a single lending platform manage both personal and business loans?

Yes. Because Chatref uses RAG-grounded retrieval, a single platform can manage personal and business loans by maintaining distinct knowledge sets for each. You might set up two agents or one agent with clear data separation. Borrowers asking about personal loans get answers from personal-loan docs; business inquiries stay business-specific. The platform scales with your product catalog, so you’re not forced into separate tools as you add loan types.