HCLTech - Accelerate Mainframe Modernization with Amazon Bedrock Agents

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.

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

1. 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.
2. 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.
3. Quality analyst - Generate test cases based on source data, mappings and target data. Execute the use cases and generate results.
4. 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.

1. Analyze and document legacy mainframe code to preserve business rules and expedite knowledge transfer.
2. Transform mainframe data to target data model with intelligent schema conversion and validation.
3. Convert COBOL to Python while preserving business logic with AI-powered refactoring.
4. Convert batch workflows to cloud ETL processes with built-in validation.
5. Create test cases validating parity between mainframe and AWS applications.
6. 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.