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RAG & Knowledge SystemsforFinancial Services

RAG & Knowledge Systems for Financial Services

In financial services, an unsourced answer is a compliance incident waiting to happen. Advisors, analysts, and ops teams need answers grounded in policy, prospectuses, KYC files, and regulatory text, with a citation that survives an SEC, FINRA, or OSFI exam. A model that paraphrases a suitability rule from memory is a model risk problem. RAG fits because retrieval keeps generation anchored to approved sources, and your model risk governance can point to exactly what was retrieved. We build cited, continuously evaluated retrieval that holds up to SOC 2 controls and an auditor reading the trail line by line.

How we deliver it

RAG & Knowledge Systems, built for financial services

01

We ingest policy manuals, regulatory text, product documents, and KYC and AML files, with access controls so retrieval respects who is allowed to see what.

02

Hybrid retrieval plus reranking surfaces the controlling passage, and every answer carries a citation to the exact source and version.

03

We log retrieval and generation end to end, giving model risk and audit a reproducible trail of what was retrieved and why.

04

An eval harness scores accuracy, citation correctness, and refusal on a graded question set, run on every release before it ships.

Where it pays off in financial services

Suitability and policy lookup

Give advisors instant, cited answers on suitability, disclosure, and product rules drawn straight from approved policy.

KYC and AML research

Surface relevant KYC findings and AML guidance with citations, so analysts triage cases faster without losing the audit trail.

Regulatory change tracking

Query current SEC, FINRA, and OSFI text and internal policy together to answer what changed and what it means for a desk.

Analyst research assistant

Answer questions over filings, research, and internal memos with citations, cutting time spent hunting through documents.

Compliance and research questions get answered in seconds with audit-ready citations, cutting research time sharply while giving model risk a defensible trail for every answer.

Financial Services AI, answered

Retrieval narrows what the model can say to your approved sources, and we log every retrieval and generation. That gives model risk a reproducible record of inputs, outputs, and citations, which is far easier to validate than a free-form model.

Yes. Access controls run at retrieval, so a user only gets answers grounded in documents they are entitled to see. This keeps confidential client and deal information from leaking through a shared answer.

Yes. The full pipeline runs in your cloud with logged, citable answers and reproducible evals on every release. Reviewers can trace any answer to its source and version, which is exactly what these regimes expect.

Bring RAG & Knowledge Systems to your financial services team

Book a free consultation. We'll show you the highest-leverage place to start and exactly how we'd ship it.