Radar IA

Radar IA Assessment

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Radar IA

Radar IA Assessment

Think about how your business works today. If you work alone, consider your own practices. Read the example under each question and choose the closest answer.

Complete all 30 questions and, together with your result, receive the digital book free of charge.
Question 1 of 30 · Strategy & Leadership

Does the company have a clear view of how Artificial Intelligence can contribute to its strategic goals?

In practice: Do you know what you would use AI for: answering customers faster, organizing orders or planning production? No formal document is needed.

Question 2 of 30 · Strategy & Leadership

Has leadership identified priority areas where AI could create impact?

In practice: Have you chosen a task or area where AI could help first, such as preparing quotes or following up orders?

Question 3 of 30 · Strategy & Leadership

Is there a plan, owner or formal initiative related to AI adoption?

In practice: Is someone responsible and is there an agreed first step? If you work alone, that person can be you.

Question 4 of 30 · Strategy & Leadership

Has the company defined criteria to prioritize AI investments and projects by impact, effort and risk?

In practice: Before spending money, do you compare likely benefits, time needed and data risks? A simple list can help.

Question 5 of 30 · People & Culture

Do employees understand at least the basics of what AI can and cannot do?

In practice: Do you and the people who help you know that AI can make mistakes or invent information and that outputs need checking?

Question 6 of 30 · People & Culture

Does the company train or guide its team to use AI tools productively?

In practice: Consider short guidance, a video, a conversation or a practical exercise. It does not have to be an expensive course.

Question 7 of 30 · People & Culture

Is there cultural openness to changing processes and ways of working with AI?

In practice: Are people willing to try a better way of working and adjust what does not work without blaming those learning?

Question 8 of 30 · People & Culture

Does the company know which teams already use AI at work and guide them to reduce improvised or unsafe use?

In practice: Do you know who uses AI tools and for what? If you work alone, consider whether you understand and control your own use.

Question 9 of 30 · Data & Infrastructure

Is important company information organized and digitally accessible?

In practice: Are orders, stock, prices, customers or production records in files or systems you can find?

Question 10 of 30 · Data & Infrastructure

Can the company’s systems share or integrate information with each other?

In practice: Do you copy the same information repeatedly between WhatsApp, spreadsheets and systems, or can you reuse it safely?

Question 11 of 30 · Data & Infrastructure

Does the company trust the quality, freshness and consistency of the data it uses for decisions?

In practice: Are the prices, contacts, balances and records you use accurate and up to date? Consider duplicates and missing information too.

Question 12 of 30 · Data & Infrastructure

Are there clear owners, permissions and criteria for accessing, updating and protecting important data?

In practice: Is it clear who can view, change or share business files? If you work alone, consider passwords and sharing permissions.

Question 13 of 30 · Processes & Automation

Does the company know which repetitive or manual activities consume the most team time?

In practice: Do you know which repetitive tasks take the most time, such as entering orders, answering questions or checking stock?

Question 14 of 30 · Processes & Automation

Are some processes already automated across systems, departments or platforms?

In practice: Do any tasks happen automatically, such as payment notices, delivery reminders or spreadsheet updates?

Question 15 of 30 · Processes & Automation

Can the company identify tasks that could be performed or supported by AI?

In practice: Can you name a task AI could help with, such as drafting messages, summarizing documents or classifying orders?

Question 16 of 30 · Processes & Automation

Are critical processes documented well enough to be improved, automated or audited?

In practice: Is there a step-by-step guide for important tasks? A simple checklist, even for your own use, counts.

Question 17 of 30 · Processes & Automation

Does the company measure time, rework, errors or bottlenecks to identify where automation would have the greatest impact?

In practice: Do you record how long a task takes or how often it needs redoing? That helps you choose what to improve first.

Question 18 of 30 · Application & Value

Does the company use AI in real activities beyond occasional tests with ChatGPT or similar tools?

In practice: Consider uses already part of everyday work, such as drafting text, organizing information or supporting customer service with human review.

Question 19 of 30 · Application & Value

Are current or planned AI uses tied to concrete business problems or opportunities?

In practice: Are you using or planning to use AI to solve a specific issue, such as preparing quotes faster, rather than testing without a goal?

Question 20 of 30 · Application & Value

Does the company measure time saved, quality, productivity, cost reduction or other technology impacts?

In practice: After using a tool, do you check whether it saved time, reduced errors or improved service?

Question 21 of 30 · Application & Value

Before scaling an AI solution, does the company test it on a small scale and compare results with a baseline or defined target?

In practice: Before using it throughout your business, do you test a few cases and compare with your previous way of working?

Question 22 of 30 · Governance & Risk

Are there internal rules about what information may or may not be entered into public AI tools?

In practice: Is there a rule against entering passwords, customer personal data or confidential information into public tools?

Question 23 of 30 · Governance & Risk

Does the company understand key AI risks related to privacy, security, errors and intellectual property?

In practice: Do you consider that an answer may be wrong, use protected content or expose data? Think about safeguards before sharing.

Question 24 of 30 · Governance & Risk

Is there human oversight of important content, analysis or decisions produced with AI assistance?

In practice: Does a person check messages, prices, information or important decisions before using AI-generated output?

Question 25 of 30 · Governance & Risk

Does the company maintain control over which AI tools are approved, used and connected to its data?

In practice: Do you keep a list of tools in use and know which can access your business information?

Question 26 of 30 · Governance & Risk

Are there procedures to review errors, incidents, complaints or unexpected impacts caused by AI systems?

In practice: If a tool causes an error or complaint, do you know how to stop using it, correct the problem and record what happened?

Question 27 of 30 · Customer & Innovation

Does the company use technology to better understand customer needs and interactions?

In practice: Do you record questions, preferences or order history to better understand your customers?

Question 28 of 30 · Customer & Innovation

Are there customer-journey points that could be improved with automation or AI?

In practice: Think about response times, quotes, bookings or delivery updates. Could any of these steps be simpler?

Question 29 of 30 · Customer & Innovation

Does the company regularly experiment with new technologies or new ways to deliver customer value?

In practice: Do you test small improvements, such as an easier form, an updated catalog or better customer service messages?

Question 30 of 30 · Customer & Innovation

Does the company collect enough feedback or data to assess whether new digital experiences actually improve customer relationships?

In practice: After changing something, do you ask customers or track a metric to see whether their experience improved?

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