Banking Client Issue Remediation Data Platform

Under Construction

Agentic AI-Powered Customer Impact Resolution System

Financial Services & Regulatory Compliance

Project Overview

An intelligent, end-to-end remediation platform that leverages agentic AI workflows to identify, analyze, and resolve customer-impacting issues in retail banking operations. This project simulates a real-world scenario where a mid-sized regional bank ($30B in assets, 2M customers) must rapidly address system-related issues following a core banking platform upgrade.

Technical Architecture

Multi-Agent AI System featuring seven specialized agents:

Issue Detection Agent - Autonomous anomaly detection and classification
Impact Analysis Agent - SQL-driven financial quantification and customer identification
Root Cause Analysis Agent - Deep reasoning for technical issue investigation
Remediation Planning Agent - Automated corrective action strategy generation
Regulatory Documentation Agent - Compliance-ready report generation (OCC, FDIC, Federal Reserve)
Customer Communication Agent - Personalized notification generation
Monitoring & Validation Agent - Post-remediation effectiveness tracking

Technology Stack

Claude API (Sonnet 4.5) Extended Thinking PostgreSQL DuckDB Python Streamlit Plotly Markdown Generation

Expected Impact

Operational Efficiency

90% reduction in issue identification time (days → hours)
80% faster remediation planning through automated analysis
75% decrease in manual documentation effort

Regulatory Compliance

Real-time audit trail generation for regulatory submissions
Standardized, compliant documentation reducing regulator feedback cycles
Proactive risk identification minimizing regulatory penalties

Financial Impact

Early issue detection preventing estimated $5-10M in potential customer losses
Reduced remediation costs through automated workflows ($500K+ annual savings)
Minimized regulatory fines through faster, more accurate reporting

Customer Experience

5x faster customer notification (from weeks to days)
Personalized, empathetic communication improving trust
Accurate remediation amounts reducing customer complaints by 60%

Strategic Value

Scalable framework applicable across product lines and issue types
Knowledge retention through AI-powered institutional memory
Foundation for predictive issue prevention (proactive vs. reactive)

Business Context

Addresses critical challenges in banking operations:

Post-system upgrade issue management
Regulatory compliance under tight deadlines
Large-scale customer remediation coordination
Cross-functional team coordination (IT, Risk, Compliance, Customer Service)

Key Innovations

Autonomous End-to-End Processing - From detection to validation without manual intervention
Regulatory-First Design - Built-in compliance requirements for OCC, FDIC, Federal Reserve
Explainable AI - Transparent reasoning chains for audit and review
Multi-Agent Orchestration - Specialized agents collaborating on complex remediation scenarios

Project Status

Current Phase: Building core agent framework and synthetic data environment

Next Milestone: Deploy Issue Detection and Impact Analysis agents on test scenarios

Portfolio Demonstration: Interactive dashboard showcasing agent workflows and remediation outcomes