Liquidity Reporting Agent Suite: Modernize Regulatory Data Quality and Transparency with AI

Liquidity data originates from multiple systems, products, and processes. Documenting lineage, identifying defects, assessing data quality, and validating controls all require time-consuming manual review. This leads to delayed regulatory submissions, inconsistent reporting, and limited visibility into systemic issues.

AI-driven automation accelerates these processes, improving accuracy, strengthening controls, and allowing teams to focus on analysis and decision-making rather than manual documentation. 

A suite of specialized AI agents that automate data quality, lineage, issue management, and root cause analysis that delivers transparency, audit readiness, and control across the liquidity reporting ecosystem. 

1. Data Quality Assurance Agent: Automate Data Control 

The Data Quality Assurance Agent automates data profiling and validation across Critical Data Elements (CDEs). It identifies inconsistencies, generates standardized validation rules, and provides ongoing monitoring to support accurate liquidity reporting. 

Key Capabilities:  

• Automated gap detection and anomaly identification
• Reusable quality rule library
• Prioritized gap analysis
• Executive dashboards and audit documentation 

Inputs: CDEs, historical profiles, business rules, system extracts 

Outputs: automated assessments, rule library, gap reports, dashboards  

2. Data Lineage Intelligence Agent: Enhance Transparency and Traceability  

The Data Lineage Intelligence Agent automatically maps data flow from source systems to the FR 2025a report. It parses ETL logic, identifies dependencies, and generates plain-language explanations for business, risk, and audit teams. 

Key Capabilities:  

• End-to-end lineage mapping
• Transformation logic documentation
• Plain-language explanations
• Compliance-ready visuals  

Inputs: ETL workflows, SQL, metadata, transformation rules  

Outputs: lineage maps, transformation logic, explanations, compliance visuals 

3. Data Defect & Limitation Management Agent: Standardize and Centralize Issue Governance  

This agent automates the classification, documentation, and tracking of data defects and limitations. It ensures firmwide consistency, provides impact analysis, and accelerates Data Management Issue (DMI) remediation. 

Key Capabilities:  

• Standardized issue documentation
• Impact and materiality analysis
• Real-time remediation tracking
• Audit-ready summaries  

Inputs: defect logs, impact data, root-cause notes, remediation evidence  

Outputs: issue registry, impact reports, dashboards, documentation packages  

4. Root Cause Analysis Agent: Accelerate Systemic Issue Diagnosis  

The Root Cause Analysis Agent applies AI to identify underlying drivers of data defects and control failures. It reveals systemic trends and provides clear, actionable recommendations to strengthen liquidity reporting controls. 

Key Capabilities:  

• Automated RCA summaries
• Trend and pattern detection
• Impact narratives
• Corrective action recommendations 

Inputs: historical issues, RCA notes, lineage, control mappings  

Outputs: RCA reports, systemic risk heatmaps, recommendations  

5. DMI Closure Review Agent: Streamline Closure Verification and Audit Readiness 

This agent validates remediation evidence, cross-checks updates against control frameworks, and prepares regulator-ready closure summaries that reduce manual work and accelerate closure cycles.  

Key Capabilities: 

• Automated evidence verification
• Closure readiness assessments
• Audit-ready documentation
• Real-time closure dashboards  

Inputs: DMI records, evidence, compliance memos, test results 

Outputs: closure reports, validation packages, dashboards  

The Liquidity Reporting Agent Suite enables financial institutions to deliver more accurate liquidity reporting, accelerate remediation cycles, and strengthen end-to-end control. By embracing responsible AI, organizations can enhance transparency, improve regulatory confidence, and build a more resilient reporting environment.