AI organisational maturity assessment
Why Many AI Initiatives Fail and What You Can Do About It?
International experience shows that implementing and consciously applying AI is a significant learning and development process for organisations. Organisations that build AI capabilities in a structured and deliberate way are able to generate substantial long-term business value.
More than half (60–70%) of AI initiatives fail to deliver expected long-term returns: successful pilots do not scale, and 60% of leaders believe that without developing internal capabilities, their organisation is not ready for conscious and ethical AI adoption.
Typical organisational symptoms include:
- Many pilots but few real business results
- Prioritisation challenges and too many parallel initiatives
- Lack of clear accountability and governance
- AI is evolving faster than the organisation
- Expectations that are either too high or met with resistance
The technology itself is available — competitive advantage comes from how consciously and prepared the organisation integrates it. Our AI maturity assessment helps you get a clear picture of your current state and the next steps you should take.
Self-assessment with optional free evaluation
A short 9-question self-assessment helps you understand how mature your organisation’s conscious use of AI currently is.
5 minutes to complete
Instant results
No registration required
Completely free of charge
Contact only if you request it
What the Assessment Provides
Current AI maturity level
Typical risks at your level
Key focus areas
Brief summary
Optional custom expert evaluation on request
What we measure
STRATEGY
Does AI appear in the organisation in a deliberate way, aligned with business objectives, or rather as isolated, ad-hoc technology initiatives?
BUSINESS VALUE
Does the use of AI focus on solving real business problems and creating measurable value, or does it primarily remain at the level of experimentation?
DATA
How the quality, availability and management of data supports or hinders the effective use of AI solutions
AI PLATFORM
Do AI solutions operate within a stable, scalable, and sustainable technological environment in the long term?
AI SKILLS
Is AI-related knowledge limited to a few individuals, or has it already become an organisation-wide capability?
GOVERNANCE
Is AI usage governed by transparent decision-making frameworks, with clearly defined responsibilities and conscious risk management?
DATA SECURITY
Do AI systems comply with information security and data protection requirements, and do they avoid creating hidden risks for the organisation?
RESPONSIBLE AI
Are AI-supported decisions ethical, explainable, and openly defensible toward both internal and external stakeholders?
SUSTAINABILITY
Are AI solutions consciously managed throughout their entire lifecycle — from implementation through modification to decommissioning?
MATURITY LEVELS
EXPLORER
AI interest, little structure
EXPERIMENTER
Pilots and ad-hoc solutions
BUILDER
Structured use cases, basic governance
SCALER
Operational AI across areas with measurement
STRATEGIC
AI as a strategic organisational capability
ASSESSMENT DEPTH IN LINE WITH REQUIREMENTS
The assessment is recommended at three depth levels.
AI SNAPSHOT
5 minute self-assessment, 9 questions- Individual test
- Current maturity level
- Typical risks
- Typical focal points
- Short description
AI INSIGHT REVIEW
30-minute joint assessment, 9 questions- Individual test
- Current maturity level
- Detailed risks
- Detailed focus points
- Personal assessment
AI DEEP REVIEW
90-minute workshop, 27 questions- Joint completion
- Current and available maturity level
- In-depth analysis
- Proposed action plan
- Personal assessment
RECOMMENDED FOR
The assessment is recommended for business leaders, domain leads, innovation and digital transformation professionals, and anyone involved in AI-related decision support.
