What challenges did Rich Data Co face before AI implementation?

Improve credit assessments using richer data sources. Assist data scientists and portfolio managers with model development, querying, and portfolio analysis. Accelerate development while meeting regulated security requirements.

What was the impact of the AI solution?

Initial version deployed to production in three months. Development speed doubled. Pilot with leading Australian banks. Estimated increase in pre-assessed credit offers from below 50% to well above 50% for existing customers.

Source

ProductionEvidence: Medium65/100

Rich Data Co deployed generative AI assistants on Amazon Bedrock to accelerate credit decisioning

Use case typeDecision supportUpdated Jun 13, 2026

Rich Data Co (RDC) is a Sydney-based SaaS provider specializing in AI-driven credit decisioning for business and commercial lending. RDC built two assistants to support data scientists and portfolio managers with model development, data querying, and portfolio analysis for financial institutions.

Organization: Rich Data Co
Industry: Finance
Location: Australia
Published: June 2026

Reported outcomes

+50%

quantified impactOther quantified impact

Strategic outcomes

New product / capabilityDeployed AI-driven credit decisioning assistantsSpeed & agilityAccelerated model development and analysisMarket & geographic expansionPiloted with major Australian banksCustomer experience & trustExpanded pre-assessed credit offer eligibility

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

Normalized claim

Quantified impact: 50% increase

AWS Customer StoriesJun 8, 2026Customer storyInferred claimMedium evidence strength

Estimated increase in pre-assessed credit offers from below 50% to well above 50% for existing customers.

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

Customer: Rich Data Co
Provider: AWS
Maturity: Production
Linked source: AWS Customer Stories

Initial version deployed to production in three months

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 5

1Credit Decisioning
2Data Science Assistant
3Portfolio Analytics

Improve credit assessments using richer data sources.
Assist data scientists and portfolio managers with model development, querying, and portfolio analysis.
Accelerate development while meeting regulated security requirements.

Built two AI-driven assistants on Amazon Bedrock with Anthropic Claude.
Used retrieval-augmented generation over Amazon OpenSearch Serverless for knowledge access.
Implemented natural-language-to-SQL against Amazon Aurora MySQL for portfolio analysis with iterative query correction.

Technologies

Amazon Bedrock Anthropic Claude 3 Amazon OpenSearch Serverless Amazon Aurora MySQL

Initial version deployed to production in three months.
Development speed doubled.
Pilot with leading Australian banks.
Estimated increase in pre-assessed credit offers from below 50% to well above 50% for existing customers.

Architecture

RDC built two AI assistants on AWS: a Data Science Assistant using Anthropic Claude in Amazon Bedrock with retrieval-augmented generation over Amazon OpenSearch Serverless, and a Portfolio Assistant using natural-language-to-SQL over Amazon Aurora MySQL with iterative query correction and validation. The solution was developed with AWS Generative AI Innovation Center support and deployed to production in three months.

Sources & evidence1

Evidence: Medium65/100Evidence strength