Indegene builds AI-powered Data Quality Agent on AWS Bedrock
Indegene Limited, a strategic partner to the life‑sciences industry, has added a generative‑AI Data Quality Agent to its NEXT Unified Data Platform (NEXT UDP). The agent runs on Amazon Bedrock, using Strands Agents and Bedrock AgentCore, and is designed to generate, validate, and deploy data‑quality rules as ready‑to‑run SQL and Python code while keeping a human‑in‑the‑loop governance layer.
Key points
- Indegene integrated a generative AI Data Quality Agent into its NEXT Unified Data Platform using Amazon Bedrock, Strands Agents, and Bedrock AgentCore.
- The agent creates context‑aware data quality rules, validates them, and outputs ready‑to‑run SQL and Python code under human‑in‑the‑loop governance.
- It leverages two knowledge bases—internal enterprise glossaries and external standards—via Retrieval‑Augmented Generation to generate both technical and business‑specific checks.
The solution draws on two knowledge bases: an internal repository of business glossaries, SOPs, and regulatory guidance, and an external reference set of standardized data‑quality frameworks. By applying Retrieval‑Augmented Generation, the agent can suggest both technical checks (nulls, data types, referential integrity) and business‑specific validations such as market‑share totals or specialty‑aligned prescription activity. Users interact through a workflow that profiles data, flags anomalies, proposes rules, and stores approved checks in a central repository for ongoing monitoring and audit.
Indegene’s approach aims to reduce the manual effort required to create and maintain data‑quality programs across hundreds of datasets, improving consistency, compliance, and confidence for life‑science organizations that handle regulated data.
The story so far
4 episodes →- Indegene builds AI-powered Data Quality Agent on AWS Bedrockthis story
How Indegene is modernizing and scaling enterprise data quality in life sciences
AWS Machine Learning Blog · 4 November 2026
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