RSNA Document Intelligence System Assessment & GenAI MVP on AWS

RSNA Cloud Connect offers a structured assessment and MVP build for organizations looking to implement Document Intelligence systems powered by Generative AI on AWS. This service focuses on transforming unstructured data such as PDFs, datasheets, reports, and internal documentation into searchable, intelligent, and actionable insights.

During the assessment phase, we evaluate your current document landscape, identify high-impact use cases, and define a scalable architecture leveraging AWS services such as Amazon Bedrock for large language models, Amazon OpenSearch for vector search, Amazon Textract for document processing, and AWS Lambda for orchestration. We also assess data ingestion pipelines, security requirements, and performance considerations.

As part of the engagement, we deliver a working MVP (Minimum Viable Product) that demonstrates real-world capabilities such as natural language search, document summarization, question-answering over documents, and automated content extraction. This MVP serves as a foundation for production deployment and further scaling.

Deliverables include:

Document Intelligence use case prioritization Reference architecture aligned with AWS best practices Working GenAI-powered MVP (RAG-based chatbot or search system) ROI and cost estimation model 12-month implementation roadmap

This service is ideal for enterprises aiming to modernize document workflows, improve data accessibility, and accelerate decision-making using AI.