/case-studies / bank-rag-advisor-assistant
ENTERPRISE RAG & KNOWLEDGE

A grounded advisor assistant for a retail bank

client
Retail Bank
industry
Financial Services
services
Enterprise RAG · Knowledge
duration
5 months
fig.60// skillikzAWSAzureGCPK8scloud.statusrollout69%99.9%uptimeusage81coveragelive
// OVERVIEW

Retail Bank — a financial services organisation — engaged Skillikz on advisor knowledge assistant: Cited answers from policy and product data for frontline advisors. 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
-40%
handling time
cited
every answer
1
source of truth
first-contact resolution
01 // THE CHALLENGE

Advisors hunted through scattered policy documents to answer customer questions, slowing service and risking inconsistent, non-compliant guidance.

02 // OUR APPROACH

We built a permission-aware knowledge assistant that retrieves and cites the bank's own policy and product data in real time.

RAG over policy, product and procedure content
Permission-aware retrieval and citations
Faithfulness evaluation to prevent drift
Automated re-indexing to stay current
03 // THE RESULTS

Handling time fell 40%, every answer is cited and traceable, and advisors give consistent, compliant guidance from a single source of truth.

Our advisors trust it because every answer shows its source. That changed everything.

COO · Retail Bank
// 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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