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Interactive roadmap

Business Analyst + AI

Requirements, process analysis, and AI use-case discovery

A path for business analysts covering requirements, documents, processes, gap analysis, AI use cases, risks, and output quality verification.

7–12 weeksBusiness analystsSystem analystsProcess analysts
Open as course →Every node has an evidence route
3stages
10nodes
2projects and milestones
  1. 01

    Shared AI core

    Model limits, structured outputs, and verification for evidence-based analysis.

    Stage outcomeThe analyst uses AI without replacing evidence with assumptions.
    Materials ready
    Materials ready
    Prerequisites: AI literacy and model limits
    Materials ready
    Prerequisites: Prompt and context engineering
  2. 02

    AI-assisted analysis workflows

    Requirements, documents, processes, contradictions, and traceability.

    Stage outcomeThe analyst structures source material faster while preserving traceability and evidence boundaries.
    Materials ready
    Materials ready
    Materials readyAssessment available
    Materials readyAssessment available
    Prerequisites: Requirements and user stories with AI, Document analysis and gap detection
  3. 03

    AI use-case discovery

    Value, feasibility, risk, controls, and ROI for AI initiatives.

    Stage outcomeEach use case has an explicit value hypothesis, data readiness, risks, controls, and success criteria.
    Materials readyAssessment available
    Materials readyAssessment available
    Materials ready
    Prerequisites: AI use-case scoring, ROI, risk, and controls