Gen AI PoC Implementation

Our Gen AI PoC allows you to evaluate the feasibility and impact of integrating generative AI technologies into your existing systems so you can make informed decisions about AI adoption.

Our Gen AI PoC approach includes:

• Strategy Alignment and Use Case Identification: We collaborate with you to understand your relevant business objectives, review your existing AWS footprint, and explore the gen AI opportunities. Together, we'll determine a PoC solution focused on an impactful business use case, such as text generation, search optimization, text summarization, image generation, personalization, etc..

• Data Readiness and Design: We assess and prepare your data for processing and embedding, create a detailed PoC architecture, and develop seamless API integrations and an intuitive Amplify App front-end for user inference.

• Prototype Development: Leveraging AWS Bedrock, SageMaker Pipelines, and Textract, our AI experts build upon the PoC architecture, conduct functional testing, and provide knowledge transfer. We also consult on data upload for better results and continue to refine the use case to align with your future business needs.

• Demo and Scalable Roadmap: We refine prompts and data ingestion to optimize performance, present the final PoC demo, and provide detailed documentation, including an architecture diagram, TCO estimates, and a proposal for production-grade implementation.

Note: Our approach may vary depending on the use case, data, and application domain

Key Deliverables and Outcomes

• Architectural design tailored to your specific use case
• Comprehensive Generative AI strategy outlining the development process, findings, and recommendations
• Seamless implementation of AWS Gen AI services
• TCO calculation estimate, including AWS consumption
• Deployment model plan with future scope