Data remediation agents
PwC Australia · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Data Remediation Agents
What is the Offering?
Show the rest of the publisher’s description (11 more lines)
Data Remediation Agents are autonomous AI-powered agents designed to identify, assess, and suggest fixes for data quality issues. These agents operate to monitor data quality, triage issues based on confidence levels, and engage with human stewards and owners to enable intelligent, high-confidence remediation at scale. Whether it's resolving invalid values, repairing broken relationships, or flagging data drift, these agents detect anomalies, classify root causes, and propose fix strategies tailored to the business context—creating a powerful co-pilot for enterprise data reliability. The solution is designed to run entirely on AWS utilising the following AWS services:
Amazon S3
Amazon Bedrock
Amazon DynamoDB
Amazon OpenSearch Service
Amazon ECR
Amazon ECS / AWS Fargate
Who is it for?
The service is ideal for organisations struggling with data quality debt, governance overhead, and inconsistent remediation processes. Core beneficiaries include: Data Governance Leaders: Looking to embed proactive and intelligent quality monitoring and resolution into data operating models. Data Stewards / Owners: Wanting contextual issue insights and recommended fix actions without manual triage overhead. Platform and Engineering Teams: Needing automated diagnostics and integration of remediation into pipelines. Business Data Consumers: Who require timely, trustworthy data for decision-making and analytics.
Value Proposition
Automated Detection – Eliminates the blind spots of periodic checks by scanning for emerging data issues. Confidence-Driven Fix Proposals – Prioritises high-certainty remediation and brings humans into the loop where needed. Operationalised Data Governance – Connects issue detection with resolution workflows and ownership accountability. Learning-Enabled Remediation – Improves over time by learning from accepted fixes, contextual feedback, and domain nuances. Trust-Boosting Data Quality – Strengthens confidence in data-driven decisions through explainable, auditable remediation pathways.
Highlights
Highlighted by the publisher on AWS Marketplace.
Confidence-Driven Fix Proposals – Prioritises high-certainty remediation and brings humans into the loop where needed. Operationalised Data Governance – Connects issue detection with resolution workflows and ownership accountability. Learning-Enabled Remediation – Improves over time by learning from accepted fixes, contextual feedback, and domain nuances. Trust-Boosting Data Quality – Strengthens confidence in data-driven decisions through explainable, auditable remediation pathways.
Agent build and provenance
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Sources
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