Craig-Horton/ai-bvf

• assemble_portfolio Structure loose portfolio inputs, resolve aliases and disclose estimated pillars.
• assess_ai_initiative Resolve a plain-English proposal, request missing decision inputs and return the assessment.
• calculate_pace_layer_drag Return a directional scenario for operating-model friction using disclosed rates.
• diagnose_process Evaluate observed process signals and return an intervention with its modelled effect.
• get_benchmark Return AI BVF planning rates with evidence status and use guidance.
• infer_readiness Infer a readiness classification from supplied process signals and report coverage.
• list_taxonomy List the accepted industries, functions, AI tiers and readiness levels.
• map_to_taxonomy Map everyday business terms to the supported taxonomy and expose unresolved terms.
• recommend_improvements Propose pillar actions and work redesign steps for a Fix or Stop. Re-score evidence before accepting a projected outcome.
• score_initiative Score explicit inputs, apply the work architecture gate, and return reasoning, audit and sensitivity.
• score_portfolio Score a portfolio and return its aggregate shape. Review benefit overlap before using a total.
• sequence_portfolio Produce rollout waves with change-capacity constraints and named gates.
• validate_portfolio Validate a portfolio document against the published JSON Schema.

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