HCLTech - Automated Document Generation with Agentic AI

Generating standardized project documentation such as Proof of Concept (POC) documents, Statement of Work (SOW) documents, Technical design documents, planning documents, handover documentation is a time-consuming tasks over the entire project tenure which includes all the cycles like sales, delivery, operation for most consultants and architects in all service integrator organizations. Integrator uses a standard set of formats to deliver the above mentioned documentation.

HCLTech’s Automated Document Generation solution is build to leverage content generation power of LLM and automation capability of AI-powered Agents to revolutionize the document creation process. By leveraging this solution as an accelerator, different personas like Architects, Consultants who are involved in different project cycles can increase their productivity by 50-60% resulting in a faster time-to-market to deliver the documentations.

AWS Services used At the core of our solution is HAQM Bedrock Agents, to generate different type of documents, powered by HAQM Nova Pro LLM for advanced cognitive understanding. The architecture integrates with AWS Lambda for serverless execution of agent-driven business logic to generate the documents, AWS S3 to store documents and HAQM DynamoDB store document metadata. HAQM Bedrock Guardrails ensures responsible AI implementation within our agent framework.

Business Benefits In recent time, Organizations are focused on creating documentations from sales cycles to operation cycle. Creating these documents manually is labor-intensive, prone to inconsistencies, and significantly extends project initiation timeframes. Document creation often becomes a bottleneck, delaying critical project initiatives and consuming valuable consultant hours that could be better utilized in high-value activities. The solution aims to accelerate the documentation process by automating the generation of standardized project artifacts while maintaining quality and consistency across all documentation.