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ai-process-assessment:prioritizing-roadmap

Sequence scored AI opportunities into a structured roadmap with dependency and capacity constraints.

Updated May 9, 2026
Search Tags:#automation#planning#roadmap#strategy#prioritization#sequencing
One-click install
npx skills add https://github.com/grandaha/ai-process-assessment --skill ai-process-assessment-prioritizing-roadmap
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-process-assessment:prioritizing-roadmap
Source: https://github.com/grandaha/ai-process-assessment/tree/main/skills/prioritizing-roadmap
Command: npx skills add https://github.com/grandaha/ai-process-assessment --skill ai-process-assessment-prioritizing-roadmap

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the common failure of roadmap planning where high-scoring opportunities are sequenced without regard for dependencies, capacity, or organizational readiness.

Core Features & Use Cases

  • Constraint-Based Sequencing: Applies five rigorous constraints (dependency, capacity, quick-win, alignment, and job boundary impact) to ensure roadmap feasibility.
  • Engine-Ready Output: Automatically generates the model/initiatives.json file required by the deterministic math engine to maintain a single source of truth.
  • Use Case: Use this during a consulting engagement to transform a list of scored AI opportunities into a structured 36-month roadmap with clear Foundation, Scale, and Optimize waves.

Quick Start

Run the prioritizing roadmap skill to sequence the scored opportunities and generate the roadmap file based on the current engagement folder.

Frequently Asked Questions about ai-process-assessment:prioritizing-roadmap

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I sequence AI initiatives into a structured roadmap using dependency and capacity constraints?▼

Sequencing AI initiatives into a structured roadmap applies five rigorous constraints—dependency, capacity, quick-win, alignment, and job boundary impact—to ensure feasibility. It transforms scored opportunities into actionable Foundation, Scale, and Optimize waves.

What is the best way to plan a 36-month automation roadmap for consulting engagements?▼

Planning a 36-month automation roadmap involves grouping scored opportunities into Foundation, Scale, and Optimize waves. This approach enforces evidence-based initiative planning and deterministic wave assignment to maintain operational readiness.

How do I generate an initiatives.json file for deterministic math engine processing?▼

Generating an initiatives.json file requires running constraint-based sequencing on scored AI opportunities. This engine-ready output serves as a single source of truth for the deterministic math engine to map enablers automatically.

Does roadmap prioritization work without organizational readiness and alignment checks?▼

Roadmap prioritization requires organizational readiness and alignment checks to function correctly. It applies five constraints, including alignment and job boundary impact, to prevent common sequencing failures where high-scoring opportunities ignore feasibility.

Why does roadmap planning fail when high-scoring AI opportunities are sequenced without constraints?▼

Roadmap planning fails without constraints because high-scoring opportunities bypass dependency, capacity, and organizational readiness requirements. Applying constraint-based sequencing ensures evidence-based initiative planning and prevents infeasible automation roadmaps.

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