Sold by: Software Sushi
Software Sushi’s Generative AI Proof of Concept on AWS helps organizations validate practical generative AI use cases before investing in full-scale implementation. We design and build a focused PoC using AWS AI and cloud services to test feasibility, business value, data readiness, integration needs, and technical approach.
Overview
Software Sushi’s Generative AI Proof of Concept on AWS is a professional service designed to help organizations move from AI ideas to validated, working solutions. This service focuses on building a limited-scope proof of concept that demonstrates how generative AI can be applied to a specific business challenge using AWS services.
Through this engagement, Software Sushi works with the customer to define the use case, clarify success criteria, review available data and systems, design the technical approach, and implement a functional PoC. The solution may support use cases such as intelligent document processing, customer support automation, internal knowledge assistants, content generation, workflow automation, data extraction, summarization, search, classification, or AI-powered application features.
Depending on the customer’s needs, the PoC may use AWS services such as Amazon Bedrock, Amazon SageMaker, Amazon Q, AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, Amazon RDS, Amazon OpenSearch Service, Amazon Textract, Amazon Comprehend, Amazon Transcribe, Amazon CloudWatch, and other AWS services required to support the solution.
The engagement is designed to reduce uncertainty before a larger implementation. Software Sushi helps evaluate technical feasibility, model performance, data requirements, security considerations, integration complexity, user experience, and potential production path. At the end of the PoC, the customer receives a working prototype or demo, findings from the implementation, and recommendations for next steps.
Software Sushi’s approach combines practical AI implementation with AWS cloud expertise, helping organizations test generative AI in a focused, secure, and business-aligned way before moving toward production.
Highlights
- Validate a generative AI use case on AWS. Build a focused proof of concept to test whether a generative AI solution can address a specific business need.
- Leverage AWS AI and cloud services. Use AWS services such as Amazon Bedrock, Amazon SageMaker, AWS Lambda, Amazon S3, and other relevant tools to support the PoC.
- Reduce risk before full implementation. Evaluate feasibility, data readiness, integration needs, security considerations, and production potential before scaling the solution.
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Vendor support
Software Sushi provides dedicated support to ensure a smooth and reliable experience for all customers. Buyers can reach our team via email at info@softwaresushi.com or through our support portal at https://softwaresushi.com/contact . We offer responsive, human-centered assistance with typical response times within one business day, and faster turnaround for critical issues. Our support includes onboarding guidance, troubleshooting, technical assistance, and ongoing optimization to help customers get the most value from their solution. For enterprise engagements, we also provide tailored support plans with prioritized response times and direct access to our technical team, ensuring continuity, reliability, and long-term success. We offer extended post-launch support packages on request.