Agentic Data Quality Resolver – AI-Driven Data Reliability Engine

Overview The Agentic Data Quality Resolver is an intelligent data reliability platform designed to transform how organizations manage data quality across cloud-scale data ecosystems. Leveraging a multi-agent AI architecture, the platform continuously analyzes datasets, detects anomalies, identifies root causes, and applies governed remediation actions to improve trust and reliability in enterprise data. Built to integrate seamlessly with AWS-native modern data platforms, it minimizes manual intervention and accelerates issue resolution. Core Capabilities

1. Automated Detection of Data Quality Issues The platform evaluates ingested datasets to identify a wide range of quality issues, including: • Missing or null values • Invalid or inconsistent formats • Duplicate records • Stale or out-of-date data • Schema inconsistencies • Referential integrity violations Each issue is classified based on severity, impact and data governance rules.
2. Agentic AI Architecture Powered by Amazon Bedrock Specialized AI agents—each focused on a specific data quality dimension—collaborate under the supervision of a central orchestration agent. Examples include: • Completeness Agent (missing values, null checks) • Accuracy Agent (incorrect or inconsistent data) • Validity Agent (format violations, type mismatches) • Timeliness Agent (stale or outdated data detection) • Uniqueness Agent (duplicate detection) Amazon Bedrock foundation models provide reasoning, pattern detection and remediation strategy generation.
3. Root Cause Analysis & Remediation Planning The orchestration agent consolidates findings from the specialized agents and determines corrective actions based on: • Confidence scores • Data impact analysis • Governance rules and approval workflows The platform generates remediation plans covering strategies such as value imputation, deduplication, schema alignment, and referential correction.
4. Governed Remediation Workflows Depending on enterprise governance needs, the solution supports: • Fully automated remediation • Human-in-the-loop review • Partial/manual approval flows • Versioning and audit tracking of corrections This ensures that sensitive datasets or low-confidence resolutions follow governance standards.
5. Cloud-Native Deployment on AWS The Agentic Data Quality Resolver runs as a secure, containerized application on Amazon EKS, enabling: • Elastic scalability • Multi-team isolation • High availability and operational security • Seamless integration with AWS storage, processing and analytics stacks Business Benefits • Dramatically reduces manual investigation time for data quality issues • Provides proactive, intelligent data quality monitoring and remediation • Enhances trust in enterprise data and downstream analytics • Supports compliance and governance through auditable workflows • Scales efficiently across large, dynamic AWS-based data platforms The Agentic Data Quality Resolver helps enterprises evolve from reactive data quality firefighting to an automated, proactive, and governed data reliability model.