Translating assessment insights into actionable outcomes
This section provides a framework for analyzing the questionnaire responses and using those insights to shape the target architecture and other key deliverables of the generative AI modernization initiative. This framework bridges the gap between data collection and implementation, and ensures that the assessment directly informs and drives your modernization strategy.
Target architecture definition:
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Use the questionnaire responses to inform the selection of cloud services and design of data pipelines.
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Make sure that the architecture design supports scalability and interoperability as highlighted in the guide.
Customer readiness evaluation:
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Analyze the questionnaire responses related to current infrastructure, processes, and organizational culture.
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Identify gaps and create a plan to address them. Prioritize gaps that are critical for MVP success.
Use case and stretch goals:
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Extract specific business problems from the questionnaire responses to define clear use case goals.
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Set stretch goals that align with your organization's long-term vision for generative AI modernization.
Effort estimation:
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Use the questionnaire data to estimate resources, time, and budget for both the MVP and full implementation.
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Create a phased approach that starts with the MVP, and outline subsequent phases.
Enablement needs:
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Based on the questionnaire responses, identify skill gaps and training needs.
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Develop a training plan that supports both immediate MVP needs and long-term generative AI adoption.
Implementation plan:
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Create a comprehensive roadmap that starts with the MVP and outlines steps toward full generative AI modernization.
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Define clear milestones and deliverables for each phase of the implementation.
Practical steps:
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Prioritization matrix: Create a matrix that maps questionnaire responses to the six outcomes to help prioritize features and efforts.
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Iterative approach: Design the MVP to be the first iteration in a series of planned releases, where each release builds toward the full target architecture.
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Stakeholder alignment: Use the questionnaire results to align stakeholders on MVP scope and the phased approach to achieving all outcomes.
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Continuous feedback loop: Implement mechanisms to gather feedback after MVP deployment, and use insights to refine plans for subsequent phases.
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Agile implementation: Adopt an agile methodology that allows for flexibility in addressing all outcomes over time, starting with the most critical outcomes in the MVP.
