Next steps
After you complete the generative AI workload assessment, follow these steps:
Deliver a detailed target architecture
Objective: The solution architect creates a comprehensive target architecture that aligns with the organization's goals and the outcomes of the assessment.
Components: This architecture includes the design of data ingestion, integration points, and system interoperability to ensure scalability, reliability, and performance optimization.
Explain how specific AWS services fit the use case
Service mapping: Identify and map specific AWS services that best fit the identified use cases.
Benefits: Highlight how these services address specific business needs, enhance efficiency, and provide scalability.
Provide optional alternative solutions with pros and cons
Alternatives: Present alternative solutions that could also meet the organization's requirements.
Analysis: Offer a detailed analysis of the advantages and disadvantages of each alternative by considering factors such as cost, complexity, and alignment with business goals.
Provide detailed price estimation of AWS services
Cost analysis: Deliver a detailed cost estimation for the proposed AWS services, including potential usage scenarios and pricing models.
Budget alignment: Make sure that the cost aligns with the organization's budgetary constraints and provides a clear understanding of the financial implications.
Get feedback on the proposed architecture
Stakeholder engagement: Engage with stakeholders to present the proposed architecture and gather feedback.
Iterative improvement: Use the feedback to refine and improve the solution, and confirm that it meets the needs and expectations of all stakeholders.
