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ai-process-assessment:conducting-engagement

Drive an 11-phase AI and automation opportunity identification engagement.

Updated May 9, 2026
Search Tags:#automation#methodology#assessment#consulting#roi#process-discovery
One-click install
npx skills add https://github.com/grandaha/ai-process-assessment --skill ai-process-assessment-conducting-engagement
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-process-assessment:conducting-engagement
Source: https://github.com/grandaha/ai-process-assessment/tree/main/skills/conducting-engagement
Command: npx skills add https://github.com/grandaha/ai-process-assessment --skill ai-process-assessment-conducting-engagement

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill eliminates the inconsistency and lack of rigor in AI and automation opportunity identification by providing a deterministic, evidence-gated methodology that prevents premature solutioning and unsubstantiated value claims.

Core Features & Use Cases

  • Deterministic Math Engine: Computes all ROI and efficiency figures using a Python engine, ensuring no arithmetic is performed in prose.
  • 11-Phase Methodology: Guides users through a structured engagement from scoping and context mapping to business case development.
  • Adaptive Autonomy: Dynamically adjusts interaction style based on user register (consultant vs. operator) and pace preferences while maintaining a strict "must-ask" safety floor.

Quick Start

Start an assessment by telling the AI you would like to find where AI and automation could save your team time and money.

Frequently Asked Questions about ai-process-assessment:conducting-engagement

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

FAQPage Schema
How do I assess automation opportunities and calculate ROI for business processes?▼

To assess automation opportunities, this engine drives an 11-phase structured engagement that enforces deterministic numeric computation for ROI figures, ensuring audit-ready deliverables without manual arithmetic errors.

What is AI process discovery and how does it prevent premature solutioning?▼

AI process discovery identifies automation opportunities through an evidence-gated methodology that requires validating organizational context before proposing solutions, preventing unsubstantiated value claims and premature solutioning.

How do I conduct a structured AI consulting engagement for process automation?▼

Conduct an AI consulting engagement by following the 11-phase methodology from scoping and context mapping to business case development, dispatching headless subagents for analysis while managing state across diverse organizational contexts.

Do I need a Python environment to run this process assessment tool?▼

Yes, you need a local Python environment to execute the bundled math engine and state management scripts, which compute ROI figures and generate audit-ready deliverables deterministically.

Can this automation assessment tool adapt to different user interaction styles?▼

The assessment tool adapts autonomy dynamically to user register and pace preferences, distinguishing between consultant and operator interaction styles while maintaining a strict safety floor of required questions.

What are the limitations of using AI for process discovery and ROI calculation?▼

The limitation is that all ROI and efficiency figures must be computed through a Python math engine rather than prose, requiring local execution and preventing rapid ad-hoc calculations without the bundled scripts.

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