Map your organisation's AI readiness against a model-based maturity matrix. Mark what you have, set where you want to go, and get a dependency-ordered roadmap plus a personalised report.
Receive a PDF report with your maturity profile, gaps, and full dependency-ordered roadmap — plus a tailored engagement recommendation. Felix will follow up personally to discuss the findings.
Use the toggle at the top to switch between the two steps. Assess current (blue): click every capability your organisation already has in place. Set target (green): flip the toggle and click the capabilities you want to reach. The tool then shows the gap and builds a roadmap.
Levels are computed, not self-rated. Some capabilities build on others, so the columns (ML 1 upward) reflect a realistic order of maturity: foundational capabilities sit toward the left, and capabilities that build on them appear further right. It keeps the picture honest — you can't be "advanced" in one area while the groundwork it rests on is still missing.
If you mark a capability as implemented before an earlier one it builds on, it turns solid red — an out-of-order state worth resolving. In target mode, a target that isn't ready yet shows as blocked. The dependency-ordered roadmap below the matrix always lists your steps in a workable order.
The green stepped line traces your current maturity profile. Once a target is set, the tool computes a dependency-ordered roadmap, automatically pulling in missing prerequisites.
This is a structured, model-based assessment. Expert calibration is ongoing, and the capability set is a working draft. Treat the output as a structured starting point, not a certification.
This assessment independently applies the Focus Area Maturity Model — a published method — to the domain of AI. The method originates with Sjaak Brinkkemper (maturity-matrix method) and was formalized as the Focus Area Maturity Model by Marlies van Steenbergen et al. (2013). A separate tool applying the same method to Model-Based Systems Engineering was developed in the publicly funded SPEDiT research project at Validas AG (with Andreas Vogelsang, Wolfgang Böhm, Peter Gersing, Oscar Slotosch and Felix Schaller). This AI tool — its capability set, dependencies, implementation and report — was built independently by Felix Schaller on the same public method.
References: van Steenbergen, M. et al. (2013), Improving IS Functions Step by Step: the Use of Focus Area Maturity Models, Scandinavian Journal of Information Systems, 25(2). · Brinkkemper, S. (2014), Situational Assessment with SPM Maturity Matrix.