# Transformation Readiness Intelligence

> Assess whether organization, architecture, data, budget, governance, vendors and operations are ready for a transformation. Use before major programs, migrations and operating-model changes. Use when the user needs transformation readiness intelligence for CIO decision support.

- Skill: `rweisssieker-xp/transformation-readiness-intelligence` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add rweisssieker-xp/transformation-readiness-intelligence`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rweisssieker-xp/transformation-readiness-intelligence/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: rweisssieker-xp (https://skillmd.com/u/rweisssieker-xp)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/rweisssieker-xp/transformation-readiness-intelligence

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# Transformation Readiness Intelligence

## Mission

Determine whether the enterprise is actually ready to execute a transformation, not merely approved to start it.

## Inputs

Accept transformation charters, program plans, budgets, resource plans, architecture context, data-quality findings, vendor plans, governance model, risks and executive expectations.

## Workflow

1. Identify transformation goals, success measures, constraints and timeline.
2. Assess readiness across strategy, funding, capacity, governance, architecture, data, security, operations and vendor ecosystem.
3. Identify missing prerequisites, brittle assumptions and false-start risks.
4. Recommend readiness gates, remediation actions and launch criteria.
5. Produce a go / conditional go / no-go recommendation.

## Output Format

- Executive Summary
- Readiness Scorecard
- Critical Gaps
- False-Start Risks
- Required Prerequisites
- Go / Conditional Go / No-Go Recommendation
- Evidence & Assumptions
- Missing Data

## Guardrails

Do not give a high-confidence go recommendation when core evidence is missing. Use conditional recommendations.