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RAG Systems · Financial Services

RAG Systems for Financial Services

A RAG system built for financial services firms.

Compliance manuals, product terms, regulatory guidance, and internal policy change constantly and carry real consequences when misquoted. Retrieval over that corpus gives staff the current passage with its effective date, rather than an answer assembled from memory.

Built by VelvoAI, an independent AI systems studio. One engineer scopes and writes every system.

What the system does

Every claim
Grounded
Search strategy
Hybrid
Retrieval accuracy
Measured

Use cases

What this handles for financial services firms

Regulatory answers need a source, a date, and a version.

  • Search compliance manuals and regulatory guidance by question
  • Retrieve product terms and conditions with effective dates attached
  • Answer internal policy questions with a citation staff can forward to compliance
  • Track which version of a policy was in force at a given date for review purposes

Policy answers that arrive with a source, a version, and a date attached as standard.

How it runs

Day to day for financial services firms

Paraplanners and client managers spend their day looking things up — what a policy covers, what was agreed at the last review, which provider rule applies. Retrieval over the firm's own files and provider documentation answers the factual question with the source attached. What it will not do is turn that into a suggestion, because the moment an answer is personalised and steers, it has become something only a regulated human can say.

Signal path · Financial ServicesTypical systems in this sector. Examples, not past integrations: the connection to yours is confirmed during scoping.
  1. S.01The practice management system as the client record
  2. S.02Provider documentation and product literature
  3. S.03Suitability reports and review notes from the file
  4. S.04Citation to the source document on every answer
  5. The systemRAG Systems

RAG Systems for Financial Services — questions

01Can it be used for regulated customer-facing advice?

It is built as an internal tool for qualified staff. Retrieval and citation make it a fast route to source material, but the regulated judgment stays with the adviser and the system is scoped so it cannot be pointed at customers.

02Can it run entirely in our environment?

Yes. Where data residency or vendor restrictions require it, the whole stack — embeddings, vector store, and open-weight models — deploys inside your infrastructure with nothing leaving the network.

Written by
Usman Ali, Founder
Last reviewed

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