What challenges did MoneySuperMarket face before AI implementation?

Customers found it overwhelming to compare credit card offers and understand eligibility, intro periods, fees, and repayment choices.

What was the impact of the AI solution?

The assistant helped over 55,000 customers and received 93% positive feedback. The article reports improved customer engagement and conversion.

Source

ProductionEvidence: Medium50/100

MoneySuperMarket deployed Money Concierge AI assistant with Amazon Bedrock

Use case typeCustomer personalizationUpdated Feb 6, 2026

MoneySuperMarket (MONY Group plc) deployed the Money Concierge AI assistant to help customers evaluate credit card offers, eligibility, fees, and interest-free periods. The solution uses Amazon Bedrock, Bedrock Knowledge Bases, Amazon OpenSearch Serverless, Amazon S3, AWS Step Functions, and AWS Lambda in a private, serverless architecture integrated into the credit-card journey.

Organization: MoneySuperMarket
Industry: Finance
Location: United Kingdom
Published: February 2026

Reported outcomes

Customers helped: More than 55,000 customers

Other quantified impact

Planned next steps

The source says the pilot could deliver: Moved from proof of concept to production in 6 months.
The source says this outcome is planned: Delivered personalized card suggestions and repayment guidance.

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Customers helped: 55,000 customers

AWS Partner NetworkFeb 6, 2026Blog postExplicit claimMedium evidence strength

“MSM’s Money Concierge has helped over 55,000 customers in their credit card journey.”

Normalized claim

Positive feedback: 93% increase

AWS Partner NetworkFeb 6, 2026Blog postExplicit claimMedium evidence strength

“Money Concierge provides improved customer engagement and conversion and received 93% positive feedback.”

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: MoneySuperMarket, MONY Group plc
Provider: AWS
Maturity: Production
Linked source: AWS Partner Network

MoneySuperMarket (MONY Group plc) deployed the Money Concierge AI assistant to help customers evaluate credit card offers, eligibility, fees, and interest-free periods

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

1Customer personalization
2Decision support

MoneySuperMarket built an AI-powered assistant on AWS that extracts customer context from forms and credit reports, enriches prompts through Step Functions, grounds responses with Bedrock Knowledge Bases, and uses current offers from third-party APIs.
The solution was moved from proof of concept to production in six months and integrated into the credit card channel.

Technologies

Amazon Bedrock Amazon Bedrock Knowledge Bases Amazon OpenSearch Serverless Amazon S3 AWS Step Functions AWS Lambda

The assistant helped over 55,000 customers and received 93% positive feedback.
The article reports improved customer engagement and conversion.

Architecture

A serverless AWS architecture used Amazon S3 for documentation and terms, AWS Lambda as the API entry point and VPC-attached compute, AWS Step Functions to orchestrate backend workflows and prompt enrichment, Amazon Bedrock for generative responses, Bedrock Knowledge Bases for retrieval-augmented generation over MSM documentation and T&Cs, and Amazon OpenSearch Serverless as the vector store. VPC endpoints kept Bedrock traffic private within AWS.

Sources & evidence1

Evidence: Medium50/100Evidence strength