Transforming Chargeback Operations with Agentic AI for a Bank| HCLTech Germany

Transforming chargeback operations with Agentic AI for a leading European bank

Reducing handling time, improving document control and enabling audit-ready visibility

7 min Lesen

Client Overview

A leading bank was managing high volumes of customer disputes and chargeback submissions across multiple document formats and channels. Case handlers were required to manually review supporting evidence, validate document completeness, identify mismatches, summarize case details and trigger follow-up actions across customer and card network workflows.

Business Challenge

Chargeback operations were constrained by manual document review and limited end-to-end visibility. This increased validation time, created risk of errors and made it difficult for operations teams to consistently identify missing, incomplete, or unclear documentation.

Key operational challenges included:

High document complexity: Customer-submitted documents arrived in varied formats, increasing the time and effort required for validation.
Manual review bottlenecks: Operations teams had to review documents manually, leading to delays, rework and increased error risk.
Limited document visibility: Lack of end-to-end tracking made it difficult to monitor document completeness and case readiness.
Risk of incomplete assessments: Missed or unvalidated documents could lead to incomplete case assessment and slower resolution.
Unclear supporting evidence: Ambiguous or incomplete documents increased the risk of overlooked information and inconsistent decisioning.
Operational scalability pressure: High-volume, multi-channel dispute operations required a more consistent and repeatable model.

Objective

The bank wanted to modernize chargeback processing through an intelligent, scalable and traceable workflow that could improve speed and consistency without compromising operational control.

The target outcomes were to:

Reduce manual effort across document review, validation, summarization and posting
Improve accuracy and consistency in chargeback evidence validation
Identify missing, incomplete, or mismatched documents earlier in the process
Provide structured case summaries and next-best-action guidance for agents
Improve end-to-end visibility into document status and case progression
Enable audit-ready traceability across the chargeback lifecycle
Support scalable, multi-channel enterprise operations

Solution

HCLTech designed an Agentic AI-led chargeback workflow to orchestrate document-heavy case processing from document intelligence and data extraction through validation, summarization, communication and downstream posting.

The solution used specialized AI agents, each responsible for a defined step in the dispute lifecycle.

Multi-agent workflow

DocIntel Agent
Reviews submitted documents and provides real-time feedback on mismatches between the application and supporting evidence.
Extraction Agent
Extracts relevant information from customer-submitted documents and converts unstructured inputs into structured case data.
Validation Agent
Validates submissions against chargeback guidelines and document completeness requirements.
Summarization Agent
Generates structured summaries of key case information and recommends next-best actions for agents.
Communication Agent
Sends SMS/email alerts and supports card network communication based on case status and required follow-ups.
Posting layer
Pushes validated data into downstream systems, reducing manual updates and improving operational continuity.

The workflow was built around rules-based validation, document tracking, structured outputs and audit-ready traceability. This helped the bank move from manual, document-by-document handling to a more intelligent and controlled chargeback operating model.

Business Impact

The transformation improved the processing turnaround, accuracy and control of chargeback operations while reducing manual effort across the dispute lifecycle.

Key outcomes included:

40% reduction in average handling time for chargeback case processing
Faster case handling and improved agent productivity
Reduced manual effort through automated data extraction and validation
Improved document completeness checks and validation consistency
End-to-end document tracking and audit-ready traceability
Scalable model for high-volume, multi-channel dispute operations

Client Value Delivered

HCLTech helped the bank transform chargeback operations by combining specialized AI agents with a structured, traceable workflow. The solution reduced manual review effort, accelerated case handling, improved document validation and enabled stronger visibility across the dispute lifecycle.

The result was a practical, scalable Agentic AI model that improved operational efficiency while supporting consistent, audit-ready chargeback processing.