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DisputeGuard - Agentic AI powered chargeback dispute resolution

HCLTech · Finance & Accounting

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownProfessional service
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

Global chargeback volumes cost financial institutions and merchants an estimated $125 billion annually. Traditional dispute resolution processes, driven by manual reviews, siloed validation, and multi-party delays, are no longer sustainable at scale.

Chargeback DisputeGuard is a cloud-native, AWS-native intelligent dispute management platform that uses Agentic AI, Generative AI, and intelligent document processing to automate the chargeback lifecycle from dispute initiation to final adjudication, reducing resolution time from 3–5 business days to under 24 hours.

Show the rest of the publisher’s description (39 more lines)

Unlike traditional manual workflows, Chargeback DisputeGuard automates the dispute lifecycle across Customer, Banker, and Merchant through intelligent Agentic AI workflows on AWS.

**Key features include: **

**For Customers**

Document Validation: Verifies that mandatory and supporting documents match the required dispute reason code.

Entity Extraction: Extracts key data points from submitted documents using intelligent document processing.

Completeness Check: Identifies missing or insufficient evidence before submission.

Multi-Channel Initiation: Enables dispute submission through portal, email, or banking app.

**For Banker**

Agentic Validation: Performs 15+ automated cross-validation checks against bank records and submitted documents.

Discrepancy Detection: Identifies inconsistencies across dispute data, bank records, and documents.

Actionable Findings: Recommends next steps such as “Push to Merchant” or “Push to Customer.”

AI Summarization: Generates summaries at document, dispute, and verification levels.

**For Merchant**

Agentic Validation: Performs automated checks against merchant records and supporting documents.

Document Retrieval: Retrieves and validates dispute-specific documents from merchant storage.

Discrepancy Detection: Identifies inconsistencies across dispute data, merchant records, and documents.

Actionable Findings: Highlights required actions for the customer or banker.

AI Summarization: Generates summaries at document, dispute, and verification levels.

**For Bank Authorizer**

AI-Assisted Adjudication: Provides a consolidated dispute view with validated evidence, key discrepancies, and AI-recommended outcomes for faster final decisions.

Platform-Wide Capabilities

  • Intelligent document processing — Amazon Textract extracts text, key-value pairs, and structured table data from unstructured PDFs, scanned images, and forms with high accuracy
  • End-to-end audit trail — every validation step, classification decision, and adjudication recommendation is logged and fully traceable, meeting PCI-DSS and GDPR compliance requirements
  • Amazon Bedrock Guardrails — built-in PII detection and redaction, content filtering, topic restrictions, and grounding checks ensure all AI outputs are safe, compliant, and traceable to verified data sources

**Key Benefits:**

  • Productivity Improvement by > 80% (from 3–5 business days to under 24 hours)
  • Turn Around Time Improvement by 80%+ (reduction in dispute resolution time)
  • Near-zero incomplete submission rates — real-time document validation at the point of submission eliminates costly correction cycles
  • High validation accuracy — AI-powered, system-integrated cross-referencing replaces error-prone manual processes
  • Better Customer Experience – higher CSAT scores
  • Consistent merchant rebuttal quality — AI-guided document classification ensures merchants submit complete, well-structured evidence every time
  • Regulatory compliance by design — PCI-DSS and GDPR guardrails embedded at the architecture level, not bolted on

**AWS Services Architecture**

Our Agentic AI solution is built on AWS-native services to deliver an intelligent, highly scalable dispute management system.

Document Intelligence: Amazon Textract extracts structured data from unstructured documents, which is then routed to Amazon Bedrock's multi-agent framework for automated verification and validation.

AI & Decision Engine: Amazon Bedrock powers the core intelligence layer, leveraging best-in-class large language models (LLMs) to validate dispute claims and generate context-aware, intelligent responses.

Integration & Processing: API Gateway orchestrates communication across microservices, AWS Lambda handles event-driven compute, and Amazon SQS enables asynchronous processing to ensure throughput at scale.

Data & Storage: Amazon S3 manages unstructured document storage, while DynamoDB provides high-performance structured data persistence.

Frontend & Deployment: A ReactJS-based user interface is deployed on Amazon ECS with AWS Fargate, delivering a serverless, cost-efficient, and resilient front-end experience.

Highlights

Highlighted by the publisher on AWS Marketplace.

Chargeback DisputeGuard uses an orchestrator-agent architecture with specialized sub-agents to automate the dispute lifecycle across customers, bankers, and merchants. It validates documents, extracts entities, performs 15+ cross-checks, and recommends outcomes, reducing resolution time from 3–5 days to under 24 hours with 80%+ productivity improvement.

DisputeGuard replaces siloed manual reviews with AI-powered, multi-dimensional validation across dispute data, bank records, system records, and submitted documents. It identifies discrepancies and fraud patterns often missed in manual checks, while generating document, dispute, and verification-level summaries for faster, more consistent decisions.

Built entirely on AWS-native services - including Amazon Bedrock for LLM-powered intelligence, Amazon Textract for document processing, and Amazon Bedrock Guardrails for PII redaction, content filtering, and grounding checks - the platform embeds PCI-DSS and GDPR compliance at the architecture level, not as an afterthought.

Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment · as of 2026-07-01

CompanyHCL Technologies LimitedAutomated
HQIndiaAutomated
IndustryTechnologyAutomated
Websitehttps://www.hcltech.com/

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource

Linked repositories

RepositoriesUnknownUnknown

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Delivery
Professional service
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