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Name

Company name

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Before you start

Respondent and company context — helps me interpret your answers.

Rate Likert questions in the next steps on a 1–5 scale: 1 = Strongly disagree / Doesn't apply, 5 = Strongly agree / Fully applies. If you can't answer from your role, choose N/A — acknowledged blind spots beat guessed answers. Be honest — the goal is a realistic picture, not an idealized one.

Who is filling out this form? * Please select a role

Number of employees *

<50 50–200 200–500 500+

Please select company size

Industry or main business area * Please enter your industry

Main reason you're considering AI transformation *

1–2 sentences is enough

Please enter the main reason

Have you had a digitization or automation project in the last 3 years? *

Yes — successful Yes — unsuccessful No Currently in progress

Please select an answer

Strategy and leadership

Leadership, vision, sponsor, budget

Leadership openly and repeatedly communicates why we want to implement AI.

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

Leadership has a unified view of where AI should create value in the company (not each member talking about something different).

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

In the last 2 years we successfully delivered a significant organizational change (transformation, restructuring, new system).

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

There is a specific executive (sponsor) who is personally accountable for the AI initiative and has decision-making authority.

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

We have allocated budget for the AI initiative (not necessarily an exact amount, but a commitment to fund).

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

What do you see as the biggest internal obstacle to successful AI transformation?

1–3 sentences is enough

People and capacity

Willingness, skills, capacity, shadow AI

Our employees are willing to learn new digital tools and ways of working.

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

We have people in the company who already actively use modern digital tools (cloud apps, automation, data tools).

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

Our middle managers actively support organizational changes — not just relay decisions from above.

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

Key people today have the bandwidth (time and attention) to dedicate 5–10 % of capacity to transformation alongside regular operations.

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

Our employees already use generative AI tools (ChatGPT, Copilot, similar) today — formally or informally.

1 Nobody uses or we don't know 2 A few individuals 3 Some teams occasionally 4 Most teams occasionally 5 Standard daily use N/A Can't assess from my role

Please select a value or N/A

What are your employees' biggest concerns about AI?

1–3 sentences is enough

Processes

AI opportunities, documentation, willingness to pilot, measurability

We know where in our work AI could save time or improve quality (even without detailed quantification).

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

Our key work processes are documented — steps, roles, and outputs aren't only in people's heads.

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

We are willing to test AI in a smaller pilot first before full rollout.

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

For processes where we're considering AI, we can today measure current performance (time, quality, volume) — we have a baseline for comparison.

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

Which process or area do you think would benefit most from AI?

1–3 sentences is enough

Technology and data

Cloud, data accessibility, data owner, GDPR, IT

Our company standardly uses cloud applications (e.g. Microsoft 365, Google Workspace, other SaaS) — not only on-premise systems.

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

Our key work data live in applications or databases where a system can find them — not just in isolated files or on paper.

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

In our company there is a specific person responsible for data quality and stewardship (data owner).

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

We have established procedures for handling personal and sensitive data (GDPR and internal rules).

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

The IT department or technical support is willing to actively cooperate on an AI project.

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

What technical or data obstacles do you see as the biggest challenge?

1–3 sentences is enough

Governance and decision-making

Rules, approvals, accountability, definition of success

We have clear rules today about what employees may and may not do with AI tools (e.g. sensitive data, client communication, where to escalate).

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

It is clear today who in the company approves deployment of a specific AI tool or use case.

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

It is clear today who in the company bears responsibility for AI-related risks (AI risk owner).

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

We could today describe in one sentence how we'll know in 12 months that the AI initiative was successful.

1 = Strongly disagree 5 = Strongly agree

Please select a value or N/A

How would you specifically define this success?

1–3 sentences is enough

Submission failed. Please try again, or email me at iva@svobodova.studio.

Find out how ready your company is to implement AI.

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Before you start

Strategy and leadership

People and capacity

Processes

Technology and data

Governance and decision-making

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