Define the primary user and decision-support problem for the enterprise intelligence platform.

Write measurable business and user outcomes with baselines, targets, and time horizons.

Prioritize candidate AI use cases with a value-feasibility-risk matrix.

Map the stakeholders who influence funding, data access, adoption, and governance.

Estimate a baseline value hypothesis for one prioritized use case.

Create a prioritized register of technical, organizational, and responsible-AI risks.

Translate business expectations into measurable system quality attributes.

Sketch a context diagram showing users, the platform, enterprise data, AI providers, and AWS boundaries.