Built by ICON Agility's AI and SAFe® coaching team · Last reviewed
Is your organization ready to redesign around AI?
Rate how true each statement is for your organization today, not where you'd like to be. You'll get your readiness score and tier the moment you finish.
- About 4 minutes
- 7 dimensions, 20 statements
- Best taken by several leaders
Optional: What's your role?
This only changes which dimensions we show first. All seven still apply to everyone, and your role is shared only with your ICON contact, never stored as a marketing record.
1. The Cost of Standing Still
Urgency needs a defensible number, not a feeling. If nobody can name what the status quo is costing, that urgency won't survive a hard quarter.
2. AI Already at Work
Momentum comes from friction, not strategy decks. If AI isn't yet doing visible, real work, there's no genuine pressure pushing against the old way of operating.
3. Financial Leadership Engagement
Funding-model change rarely happens on approval alone. It requires a CFO who is engaged: personally shaping the funding conversation, not just signing off on it.
4. Sustained Executive Sponsorship
A sponsor who appears once at kickoff has approved the work. They have not engaged with it. Real sponsorship is engagement: loud, repeated, and durable past the first sign of resistance.
5. Tolerance for Disruption
Redesign changes who controls what. If leadership hasn't prepared the organization, and hasn't updated how people are measured and paid, the organization will quietly revert to the old model.
6. Current-State Clarity
You can't redesign what you can't honestly describe. If your own executives disagree on how decisions get made today, that disagreement is the real starting point.
7. Prioritization Discipline
Transformation that has to compete with business-as-usual for capacity loses. The real test is whether anything has actually been deprioritized to make room.
8. Data & Workforce Readiness
This dimension is most diagnostic for IT and data leadership: whether your data and your people are actually prepared for the work once leadership clears the way. It's scored separately and won't affect your readiness tier.
8. Data & Workforce Readiness
Personalize your results
All three are optional. Skip straight to your score if you like. If more than one leader from your organization takes this assessment, these answers can be compared side by side.
Your answer becomes the opening line of your personalized results.
The one where you hesitated longest before choosing a number.
Want your dimension-by-dimension breakdown and to see where your gaps are concentrated?
Rather talk it through? Book a conversation with an ICON coach.
Enter your details to unlock your full breakdown.
What Is AI Transformation Readiness?
AI transformation readiness is the degree to which an organization's leadership, funding, and operating conditions can support redesigning how work gets done around AI, before that redesign begins. It is different from AI adoption, which measures how many tools or pilots are in use. An organization can run dozens of AI pilots and still not be ready to transform, because transformation changes who funds the work, who controls resources, and how people are measured.
ICON Agility Services assesses readiness across seven dimensions: the cost of standing still, AI already at work, financial leadership engagement, sustained executive sponsorship, tolerance for disruption, current-state clarity, and prioritization discipline. Stalled AI transformations rarely fail on strategy. They stall because one of these preconditions was missing when the redesign started, and the organization drifted back to its old model at the first hard quarter.
The 7 AI Transformation Readiness Dimensions
Each dimension is a precondition for an AI-driven operating model change to hold. An eighth, optional dimension covers data and workforce readiness.
The Cost of Standing Still
Urgency needs a defensible number, not a feeling. If nobody can name what the status quo is costing, that urgency won't survive a hard quarter.
Most relevant to: C-Suite/Exec · 3 statements
AI Already at Work
Momentum comes from friction, not strategy decks. If AI isn't yet doing visible, real work, there's no genuine pressure pushing against the old way of operating.
Most relevant to: IT, Product · 3 statements
Financial Leadership Engagement
Funding-model change rarely happens on approval alone. It requires a CFO who is engaged: personally shaping the funding conversation, not just signing off on it.
Most relevant to: C-Suite/Exec · 3 statements
Sustained Executive Sponsorship
A sponsor who appears once at kickoff has approved the work. They have not engaged with it. Real sponsorship is engagement: loud, repeated, and durable past the first sign of resistance.
Most relevant to: C-Suite/Exec · 4 statements
Tolerance for Disruption
Redesign changes who controls what. If leadership hasn't prepared the organization, and hasn't updated how people are measured and paid, the organization will quietly revert to the old model.
Most relevant to: HR · 3 statements
Current-State Clarity
You can't redesign what you can't honestly describe. If your own executives disagree on how decisions get made today, that disagreement is the real starting point.
Most relevant to: PMO · 2 statements
Prioritization Discipline
Transformation that has to compete with business-as-usual for capacity loses. The real test is whether anything has actually been deprioritized to make room.
Most relevant to: PMO · 2 statements
Data & Workforce Readiness
Whether your data and your people are actually prepared for the work once leadership clears the way. Optional, and scored separately from your readiness tier.
Most relevant to: IT, data leadership · 3 statements
How the Readiness Score Works
Each of the 20 required statements is rated from 1 (Not at all true) to 4 (Fully true), so totals range from 20 to 80. Your readiness score is the share of that range you reach: (total − 20) ÷ 60 × 100. The optional data and workforce dimension is scored separately and does not change your tier.
| Tier and score | What it means |
|---|---|
| Pre-Readiness Below 40% | The honest work is readiness, not redesign. Start by quantifying what inaction costs and securing a sponsor who will spend real capital on the answer. |
| Foundation-Building 40–64% | The ambition is real, but sponsorship, funding engagement, or visible AI traction is not yet in place. Treat it as a sequencing signal. |
| Conditionally Ready 65–84% | Real momentum, with at least one gap that could stall the work mid-engagement. Close the lowest-scoring dimension before scoping the broader redesign. |
| Transformation Ready 85–100% | The preconditions are in place: real economics, durable sponsorship, and leadership that has already made room for the work. |
Your full breakdown ranks the seven dimensions by average rating per statement, so the two or three lowest show where your readiness gaps are concentrated.
Why Several Leaders Should Take It
HR, IT, Finance, and Operations each see a different part of your organization's readiness. A CFO and a CIO rating the same statement differently is not noise. It usually shows exactly where alignment has to happen before any redesign.
Share the assessment with two or three colleagues and have each take it independently, before discussing the results.
Which AI Assessment Is Right for You?
AI Readiness Diagnostic
2 minutes · Free
Best for: an individual pulse check on AI adoption.
You get: an adoption readiness score.
AI Transformation Readiness Assessment
4 minutes · Free
Best for: leadership teams deciding whether to redesign around AI.
You get: a readiness tier and the dimensions where your gaps are concentrated.
AI-Native Readiness Assessment
Typically 1–2 weeks · Paid engagement
Best for: organizations ready for an expert-led diagnostic.
You get: stakeholder interviews, a gap analysis, and a prioritized roadmap from ICON coaches.
Designed by Enterprise Transformation Coaches
ICON Agility Services has guided enterprise transformation since 1992 and holds SAFe® Platinum SPCT Partner status, the highest partner designation from Scaled Agile, Inc. This assessment reflects the preconditions our coaches check before any AI-driven operating model redesign, drawn from the same practice behind the Hyperadaptive™ AI Model.
34+
Years of Experience
40%+
Fortune 100 clients
60k+
Students Trained
7
SPCTs, incl. 2 SAFe Fellows
Frequently Asked Questions
About 4 minutes. You rate 20 statements across 7 required readiness dimensions on a 1–4 scale, from "Not at all true" to "Fully true." An optional eighth dimension on data and workforce readiness adds 3 more statements. Your readiness score and tier appear on screen as soon as you finish, with no login required.
Executives and senior leaders who influence how AI work is funded, sponsored, and staffed: the C-suite, HR, IT, Finance, Operations, PMO, and Product leadership. It works best when several leaders from the same organization take it independently. HR, IT, and Finance each see a different part of the picture, and the places where their answers disagree are often the most useful finding.
Each of the 20 required statements is rated from 1 to 4, so totals range from 20 to 80. The score is the share of that range you reach: (total − 20) ÷ 60 × 100. The optional data and workforce dimension is scored separately and does not change your tier. Dimensions are then ranked by their average rating per statement, so your lowest-scoring dimensions show where readiness gaps are concentrated.
Pre-Readiness (below 40%): focus on readiness before redesign. Foundation-Building (40–64%): the ambition is real, but sponsorship, funding engagement, or visible AI traction is missing. Conditionally Ready (65–84%): real momentum, with at least one gap that could stall the work. Transformation Ready (85% and above): the preconditions for an AI-driven operating model redesign are in place.
The AI Readiness Diagnostic is a 2-minute individual pulse check on AI adoption. The AI Transformation Readiness Assessment is a 4-minute leadership self-assessment of whether the organization is ready to redesign how it works around AI. The AI-Native Readiness Assessment is a paid engagement, typically 1–2 weeks, in which ICON coaches interview stakeholders and deliver a prioritized roadmap.
Your score is calculated in your browser, and nothing is sent to ICON unless you ask for your full breakdown. If you do, your name, work email, and company are added to ICON Agility's CRM. Your scores, role, and any written answers are shared only with the ICON team preparing your follow-up. They are not used as marketing records.
Treat it as useful information, not a failure. A Pre-Readiness score means the work right now is building the conditions for transformation, not redesigning the operating model. Two starting points matter most: put a specific number on what the current approach is costing each quarter, and secure one accountable executive sponsor who will stay visibly engaged for 18 to 36 months.