# Next steps
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After you complete the generative AI workload assessment, follow these steps:

1. **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.

1. **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.

1. **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.

1. **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.

1. **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.