AI Maturity Assessment
Know your position before you invest in AI.
A sober analysis of the present. Five domains, verified sources, one shared starting point for the management table and the workplace.
5 DOMAINS - FROM START TO END GUIDED - EACH BENCHMARK TRACEABLE - ACKNOWLEDGED STANDARDS & FRAMEWORKS
WHY
Almost every organization feels the pressure to "do something with AI".
Without an honest picture of your position, AI initiatives become isolated experiments: lots of energy, little direction, no results.
This assessment shows where your strengths lie, and where the blind spots are that could derail an AI initiative. In weeks, not quarters.
Facts
Decisions based on facts instead off gut feeling
Shared
One common language for board and employees.
Workable
An workable startingpoint, no extensive advisory report.
SHARED STARTINGPOINT
The board sets the course, teams explore the first applications.
One view that the board and employess both recognize
Both levels start from the same verified baseline measurement.
WHAT DOES IT MEASURE
Five connected domains
Together, they cover the entire playing field impacting AI within an organization. Each domain receives its own score, making strengths and blind spots immediately visible.
Clear choices about where AI adds value and where it does not
01
Strategy & Leadership
Human &
Culture
Governance & Ethics
Technology & Data
Operation
From pilot to scalable product with continuous monitoring
Behavior, trust, skills and work environment
Governance, obligations under the EU AI Act, transparency and control.
Data quality, ownership, architecture, infrastructure and tooling.
02
03
04
05
Because the domains are defined by various stakeholders, I guide this process myself, from intake to roadmap.
THE PROCESS
03
01
02
05
04
Intake & scope
The right people at the table
Assessment in the portal
Validation & interpretation
Report & roadmap session
The board sets the course, teams explore the first applications. Both levels start from the same verified baseline.
We appoint the owner for each domain. I ensure that every domain is filled in by someone who really knows, not based on assumptions.
Stakeholders complete the portal per domain. They upload documents, architecture, and policies, which are then checked against the provided answers.
We go through the outcome together: priorities, risks, 90-day actions, and what you won't start on just yet.
Differences between answers and documentation are provided as feedback. Scores are translated into what they concretely mean for you.
Five steps, guided from beginning untill the end
DOCUMENTVERIFICATION
Upload your own documents to the portal: architecture, policy, data governance, roadmaps. The tool compares them with the answers from the assessment. Where there is a discrepancy, you will receive a clear report, ensuring a single, unambiguous picture remains.
What people say, tested against what your documents say.
What your documents actually say
Identify every difference, so it doesn't surprise you halfway through the project, where it costs time, money, and quality.
GAP Analysis
What stakeholders say for each domain
ANWERS
DOCUMENTS
WHAT YOU GET
A practical document, not an extensive report.
Everything traceable, everything internally justifiable.
01
02
03
05
04
06
Managementsummary
Findings and recommendations in one overview
Score per domain
Sources
Documents verification
Risk analysis
Roadmap
Strengths and blind spots at a glance.
Elke benchmark herleidbaar tot een geverifieerde bron.
where your answers and your documentation diverge
With 90-day actions to manage or reduce risks
Where to begin, what to get in order first, and what not to start on for the time being.
The assessment opens up the parts of your organization on which an AI initiative depends, including those that no one has looked at yet.
What seems solid on the outside is not always transparent on the inside.
TRANSPARENCY
WHAT IT UNDERPINS
EU AI ACT
DAMA-DMBOK
NIST AI RMF
ISO 42001
AI TRiSM
No random opinions. Verified sources.
The knowledge base is built on recognized frameworks: the EU AI Act for governance and compliance, and DAMA-DMBOK for data management. No fabricated percentages, no vague "research shows".
GUIDED FROM SCRATCH UNTILL THE END
I am not leaving this to chance. I am overseeing the inquiry myself.
KASPAR VAN HULST - STRAIGHTABLE.EU
The report is not a rough printout but a clarified picture, tested against the reality in your organization rather than assumptions.
Ready for a fair starting point?
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