[AI Readiness Check]

How ready is your business for AI?

In 5 minutes, discover where your organization stands across 7 critical dimensions – and where the biggest levers for AI success are.

5 minutes 21 questions Instant results

Progress

Data Readiness
Infrastructure
Leadership & Strategy
Use Case Clarity
Talent & Culture
Governance & Ethics
Budget & Investment

Dimension 1 of 7

Data Readiness

How digitized are your most important business data today?

1 Mostly paper-based or in unstructured files (emails, Word documents) 2 Partially digitized, but scattered across different systems without a uniform structure 3 Mostly in structured systems (ERP, CRM), but media breaks still exist 4 Fully digital, centrally accessible, with uniform formats and standards

How do you rate the quality of your data (completeness, timeliness, consistency)?

1 Honestly, we don’t have a good overview of our data quality 2 There are known gaps and inconsistencies, but they are not systematically addressed 3 We have initiated data cleansing measures and are improving quality step by step 4 Data quality is continuously monitored, with clear responsibilities and processes in place

Does your company have clear rules about who can access which data?

1 No, there are hardly any formal regulations for data access 2 Basic access rights exist, but without a documented concept 3 Role-based access is defined for the most important systems 4 Comprehensive data governance concept with a data protection officer and regular audits

Dimension 2 of 7

Infrastructure

How is your IT infrastructure set up regarding cloud services?

1 Purely on-premise, no cloud usage 2 Individual cloud services in use (e.g., Microsoft 365, accounting software) 3 Hybrid infrastructure with targeted cloud usage and connection to core systems 4 Cloud-first strategy, scalable computing capacity available on demand

How well are your business systems (ERP, CRM, email, accounting) connected to each other?

1 Systems run in isolation, data exchange is manual (export/import, copy-paste) 2 Individual interfaces exist, but there are still many manual transfers 3 Most core systems are connected via APIs or middleware 4 Fully integrated system landscape with automated data flows

Does your company already use AI or automation tools in daily work?

1 No, we do not use any AI tools or automation 2 Individual employees use AI tools on their own initiative (e.g., ChatGPT) 3 There are approved AI tools and initial automations in specific areas 4 AI tools are systematically deployed, with guidelines and company-wide licenses

Dimension 3 of 7

Leadership & Strategy

What is your management’s stance on Artificial Intelligence?

1 AI is not yet a topic at management level 2 There is interest, but no concrete plans or timelines yet 3 Management has identified AI as a strategic topic and is actively driving it forward 4 AI is an integral part of the corporate strategy with clear goals and responsibilities

Is there a clear understanding of which business goals AI should support?

1 No, we don’t yet know exactly what AI could do for us 2 Vague ideas exist (“increase efficiency”), but nothing concrete is defined 3 AI goals are linked to specific business processes, e.g., faster quote generation 4 A clear AI roadmap exists, aligned with and prioritized against the business strategy

How open is your company generally toward new technologies and process changes?

1 Changes are viewed with skepticism – “We’ve always done it this way” 2 New technologies are accepted when the benefit is clearly visible 3 There is a general willingness to innovate and actively adopt new approaches 4 Continuous improvement is part of the corporate culture, new tools are proactively tested

Dimension 4 of 7

Use Case Clarity

Have you identified specific processes or tasks where AI could help?

1 No, we don’t yet know where AI could be applied in our organization 2 We have collected individual ideas, but haven’t evaluated them systematically 3 There is a prioritized list with 2–3 concrete use cases including expected benefits 4 Detailed use case evaluation with ROI estimate, technical feasibility, and timeline

How well documented are the business processes that could be supported by AI?

1 Processes are mostly tacit knowledge in employees’ heads 2 Some core processes are roughly documented, but not detailed enough for automation 3 Important processes are described in detail, including exceptions and decision rules 4 Standardized process documentation exists, regularly maintained and optimized

Do you understand the difference between quick AI wins and long-term AI projects?

1 No, we don’t have a concrete idea yet 2 We’ve heard about quick wins, but haven’t identified any in our context 3 We have identified at least one quick win (e.g., email templates, document summarization) 4 We have a clear separation between quick pilots (weeks) and strategic projects (months)

Dimension 5 of 7

Talent & Culture

How would you describe the general AI understanding in your company?

1 Little to no understanding – most employees have never used AI 2 Basic awareness exists, but no deeper understanding of possibilities and limitations 3 Several employees actively use AI and informally share their knowledge with colleagues 4 Broad AI understanding, regular training, and internal champions across departments

Do you have employees or partners who are experienced in AI implementation?

1 No, we have no internal or external AI expertise 2 Individual tech-savvy employees who engage with AI in their personal time 3 An IT manager or external provider with basic AI knowledge 4 Dedicated AI competence in-house or a solid partnership with an AI consultancy

How does your company promote professional development in digitalization and AI?

1 No specific training programs on these topics 2 Employees may train on their own initiative, but there is no budget or program 3 There is a training budget and specific offerings (online courses, workshops) 4 Systematic upskilling program with AI focus, including learning time during working hours

Dimension 6 of 7

Governance & Ethics

How well is your company prepared for data protection requirements in AI usage?

1 GDPR basics are known, but AI-specific requirements are not 2 We know AI is relevant to data protection, but haven’t taken measures yet 3 Data protection officer is involved, initial guidelines for AI use exist 4 Comprehensive AI data protection policy with DPIA template, processing register, and deletion concept

Are you familiar with the EU AI Act requirements and their relevance for your company?

1 No, the EU AI Act is not known to us 2 We’ve heard about it, but haven’t examined the specific impact on us yet 3 We have an initial assessment of which risk classes are relevant for our applications 4 Systematic risk assessment completed, compliance measures are planned or implemented

Does your company have principles for the responsible use of AI?

1 No, the topic of AI ethics has not been discussed yet 2 Informal agreement (“We want to use AI responsibly”), but nothing written down 3 Initial guidelines defined, e.g., transparency for AI-generated content, human oversight 4 Documented ethics framework with review processes, bias checks, and regular audits

Dimension 7 of 7

Budget & Investment

Is there a budget for AI initiatives in your company?

1 No, there is no dedicated budget for AI or digitalization 2 There is a general IT budget from which AI projects could be funded 3 A concrete budget for an initial AI pilot project is planned or ready for approval 4 Dedicated AI budget exists, regularly reviewed and tied to results

How does your management view investments in AI?

1 As a cost risk – “Let’s wait and see what prevails” 2 As necessary modernization – “We’ll need to get on board eventually” 3 As a competitive advantage – “We want to benefit before our competitors” 4 As a strategic investment – “AI is a growth driver with measurable ROI”

What resources (time, people) are available for an initial AI project?

1 Currently none – all employees are fully occupied with day-to-day business 2 Individual employees could invest a few hours per week alongside their regular work 3 A small team (2–3 people) could be partially freed up for a limited pilot project 4 Dedicated project team with clear time allocation and management support

out of 100

Your 7 Dimensions in Detail

Your Top Priority Areas

Focus on these areas to unlock the biggest levers for your AI success.

Get your detailed action plan

We’ll send you a personalized report with concrete next steps – free and no obligation.

Leave empty

Business email *

Company (optional)

I have read the privacy policy and agree to the processing of my data. *

[Next step]

Want to improve your score?

In a free initial consultation, we’ll analyze your results and develop a concrete roadmap for your business.

Schedule a free consultation →

30 minutes

Free of charge

Confidential