/case-studies / fintech-regulatory-semantic-search
ENTERPRISE RAG & KNOWLEDGE

Semantic search across regulatory data for a fintech

client
Regtech Fintech
industry
Fintech
services
Enterprise RAG · Data
duration
5 months
fig.60// skillikzassessdesignbuildscaleroadmap.mdrollout63%valueusage81coveragelive
// OVERVIEW

Regtech Fintech — a fintech organisation — engaged Skillikz on regulatory semantic search: Find meaning across regulations, not just keywords. This case study sets out the business challenge, the AI-led approach we took, the technologies involved and the measurable outcomes delivered over 5 months.

// TECHNOLOGIES
Vector DBEmbeddingsLangChainPythonElasticsearchAWS
minutes
not hours
cited
to clause
coverage
current
by design
01 // THE CHALLENGE

Compliance teams spent hours searching dense regulatory text, and keyword search missed conceptually related rules.

02 // OUR APPROACH

We built semantic search and a grounded assistant over regulatory sources, citing the exact clause and staying current.

Vector search over regulatory corpora
Grounded answers with clause citations
Freshness and change tracking
Relevance evaluation and tuning
03 // THE RESULTS

Compliance research dropped from hours to minutes with broader coverage and citations to the exact clause.

It understands what we mean, not just what we type — and always points to the source.

Head of Compliance · Regtech Fintech
// HOW WE'D DELIVER THIS TODAY

The AI services behind this outcome

A project like this draws on a focused set of Skillikz services — from first assessment to a working pilot and a clear path to scale.

// MORE WORK
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