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HCLTech - Accelerate Mainframe Modernization with Amazon Bedrock Agents

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.

**Solution Overview**

The Agentic AI Mainframe Modernization solution has been built with an objective to accelerate the legacy migration by enhancing the productivity of diverse personas working on the program across the Software Development Life Cycle.

Show the rest of the publisher’s description (23 more lines)

**The solution targets improving the productivity of following personas: **

  • Data analyst - Use the accelerator to analyze the complex source policy management data, generate business logic and rules from existing code to help prepare required business documentation.
  • Developer - Utilize the platform for application re-engineering, data transformation and analysis, generate source-target mapping files, ETL scripts or code transformation from Cobol, JCL to Java or any other programing language.
  • Quality analyst - Generate test cases based on source data, mappings and target data. Execute the use cases and generate results.
  • Business stakeholders (UAT) - Review the quality of data in the target system by running queries in natural language and reviewing output.

**Following are the core capabilities of the solution.**

  • Analyze and document legacy mainframe code to preserve business rules and expedite knowledge transfer.
  • Transform mainframe data to target data model with intelligent schema conversion and validation.
  • Convert COBOL to Python while preserving business logic with AI-powered refactoring.
  • Convert batch workflows to cloud ETL processes with built-in validation.
  • Create test cases validating parity between mainframe and AWS applications.
  • Extract actionable insights from data with AI-powered analytics and visualization.

**Solution architecture of the Agentic AI Solution**

The overall solution has been used built using Amazon Bedrock Multi Agent Framework, Amazon Nova Pro, AWS Lambda, Web socket API, S3, React UI and RDS.

  • Amazon Bedrock Agents – The solution utilizes the Amazon Bedrock Multi-Agent Framework and has three agents.
  • The Orchestrator Agent (Supervisor) focuses on routing and collaboration between different agents.
  • Transformation Agent (collaborator) analyzes the data for insights and generates the transformation logic – mapping, ETL scripts, code transformation.
  • Database Agent (collaborator) generate SQL queries to insert data to relational DB.
  • Large Language Model – The Agents leverages Amazon Nova Pro.
  • AWS Websocket API – Acts as a persistent chat interface to route communication between user and Bedrock Agents which are deployed on the API gateway.
  • AWS Lambda – The user input received via web socket API is sent to agents by calling invoke Agent API.
  • Responsible AI – Solution has incorporated all the Responsible AI principles. Amazon Bedrock Guardrails have been used for toxicity control, PII redaction and contextual grounding to detect and mitigate hallucinations.

Authentication and Authorization using Amazon Cognito or integration with AD.

Highlights

Highlighted by the publisher on AWS Marketplace.

1. Leverage Agentic AI Solution build using Amazon Bedrock Agents to reduce the mainframe migration effort and timelines. 2. Utilize the solution for business logic extraction, code transformation, ETL script generation, test case and script generation 3. Enables productivity gains across SDLC and multiple personas such as Data Analyst, Developer, QA Analyst and Business Stakeholders

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

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
Professional service
For more information please reach out to awsecosystembu@hcltech.com
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