AI Skill Assessments
An AI-powered engine for personalized capability development
Get a clear baseline of your organization's capabilities through scenario-based assessments designed for business and technical roles. See where your teams excel, where they need support, and what to prioritize next.



Why this matters
No two learners have the same path.
Why give them the same training?
Every learner brings different strengths, capability gaps, and goals. AI Skill Assessments help each person understand where they are, decide where they want to grow, and follow a personalized learning path built around their needs, not a one-size-fits-all curriculum.
Get started
How it works
Four steps.
One continuous cycle
Every assessment starts by measuring current capabilities, then identifies priorities, builds targeted skills, and tracks progress over time.
Step 1
Establish Point A
A scenario-based assessment in a synthetic workspace evaluates how people apply AI in realistic work scenarios across business and technical roles. The result is a clear baseline of current capabilities.

.avif)
Step 2
Prioritize the gaps
Each learner reviews their results and selects the capabilities to develop next based on their own goals, rather than a one-size-fits-all curriculum.
Step 3
Generate the path
Based on those priorities, SkillCheck automatically builds a personalized learning path focused on the capabilities that matter most, without relying on generic curricula.
.avif)
.avif)
Step 4
Re-assess and iterate
At the end of the learning path, each learner measures their progress and takes a new assessment to identify new capability gaps. Each assessment becomes the starting point for the next stage of development.
How scoring works
Expert-designed.
Research-informed
Configurable proficiency thresholds


Targeted learning paths

Built around your standards

What your organization gains
Individual progress powers organization-wide transformation
Each person's results remain focused on development and are only available to the right people. They are not used as a performance measure.
Aggregated across teams, functions, and roles, those same assessments become a verified organizational baseline, with business and technical capabilities measured separately.
That baseline gives organizations the clarity to prioritize capability building, accelerate AI adoption, and measure progress over time.
Aggregated across teams, functions, and roles, those same assessments become a verified organizational baseline, with business and technical capabilities measured separately.
That baseline gives organizations the clarity to prioritize capability building, accelerate AI adoption, and measure progress over time.

.avif)





.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)


.avif)



