Our AI Assessment Design Services
Rob Williams Assessment helps organisations design more valid, more defensible, and more commercially useful AI-related assessments. Our work focuses on judgement, reasoning, decision quality, and the real-world risks of over-relying on AI output. We work across schools, graduate recruitment, leadership assessment, and AI readiness diagnostics.
AI Assessment Design for Schools
Schools increasingly need better ways to assess how students use AI, how confidently they challenge AI output, and whether they can apply judgement rather than simply generate answers. This is especially important where schools want to move beyond generic digital literacy and measure reasoning, credibility judgement, and responsible use in realistic educational contexts.
Rob Williams Assessment supports schools, MATs, and education providers with AI literacy assessments, scenario-based judgement exercises, and diagnostic tools that measure the thinking skills that matter most in the age of AI.
- AI literacy diagnostics for pupils and students
- Scenario-based judgement exercises for classroom and school use
- School and MAT-level AI readiness frameworks
- Assessment advisory work on validity, fairness, and implementation
AI Assessment Design for Graduate Recruitment
Graduate recruiters are already seeing candidates use AI in applications, written tasks, and decision-making exercises. The challenge is no longer whether candidates use AI. The real question is whether they use it well. Strong graduate assessment now needs to measure how candidates evaluate AI output, spot weaknesses, apply sound judgement, and make defensible recommendations.
We design AI-enabled simulations and judgement assessments that show how candidates think when AI is available. This creates a more realistic and more commercially relevant assessment process than traditional graduate exercises alone.
- AI-enabled graduate judgement simulations
- Scenario-based evaluation of AI output
- Assessment centre task redesign for AI-era roles
- Advisory support on AI-related hiring validity and defensibility
AI Assessment Design for Leadership Assessment
Leaders now need to do more than accept dashboards, summaries, and AI-generated recommendations at face value. They need to question the output, understand the business implications, and judge whether their teams are using AI responsibly and effectively. This means leadership assessment must evolve to include AI judgement, AI-related decision quality, and the ability to spot overconfidence, bias, or poor reasoning.
Rob Williams Assessment designs leadership assessments that focus on decision quality in realistic, high-stakes situations, including situations where AI output is present but should not be accepted uncritically.
- Leadership AI judgement exercises
- Executive simulations involving AI-supported decisions
- Assessment content for succession and leadership development
- AI readiness measures for leadership populations
Explore AI in leadership assessments
AI Readiness Diagnostics
Many organisations want a practical way to understand whether their people are ready to use AI effectively, responsibly, and with sound judgement. A strong AI readiness diagnostic should not just measure confidence or tool familiarity. It should assess how people evaluate AI output, make decisions under uncertainty, and apply appropriate caution where the stakes are high.
We build AI readiness diagnostics that can be tailored for different populations, including leaders, graduates, managers, school staff, and wider workforces. These can be used as stand-alone diagnostics or as part of a broader AI capability, risk, or defensibility programme.
- AI readiness diagnostics for leaders and managers
- AI capability profiling for teams and organisations
- Risk-focused diagnostics linked to judgement and decision-making
- Custom reporting and interpretation frameworks
Downloadable AI Assessment Resources
These resources are designed to help organisations understand the commercial opportunity and the assessment risks associated with AI-enabled decision-making. They also create a practical entry point into a wider assessment or consultancy discussion.
AI Defensibility Audit Checklist
A practical checklist for organisations reviewing whether their AI-enabled assessments are valid, fair, reliable, and ready for serious scrutiny. Ideal for talent, assessment, and leadership teams evaluating risk.
- Construct definition prompts
- Validity and fairness checks
- AI-related assessment risk questions
AI Readiness Diagnostic Sample Report
See what an AI readiness diagnostic can look like in practice, including example scoring dimensions, interpretation themes, and leadership or workforce recommendations.
- Sample profile output
- Example interpretation language
- Indicative development recommendations
Example AI Assessment Design Case Studies
The examples below show how AI-related assessments can be designed to measure judgement, decision quality, and real-world reasoning rather than superficial tool familiarity alone.
Case Study: AI-Enabled Graduate Simulation
The challenge: A graduate employer wanted a more realistic way to assess how candidates would perform when AI tools were available during day-to-day work. Traditional written exercises were becoming less predictive because candidates could easily use AI outside the intended design of the task.
The solution: We designed an AI-enabled graduate simulation in which candidates reviewed AI-generated summaries, challenged weak recommendations, and made decisions based on incomplete and sometimes flawed information. This shifted the focus from answer production to answer evaluation.
The value: The result was a more modern graduate assessment that measured judgement, critical reasoning, and decision quality in a way that better reflected the real working environment.
Case Study: Leadership AI Judgement Assessment
The challenge: A leadership team needed a better way to assess how senior managers interpreted AI-assisted recommendations from their teams. The risk was not simply bad AI output. It was poor leadership judgement when reviewing that output and deciding whether to act on it.
The solution: We created a leadership AI judgement assessment built around realistic decision scenarios. Leaders were asked to review AI-generated input, weigh up the business risks, question assumptions, and determine whether the evidence was strong enough to support action.
The value: This created a leadership-focused measure of decision quality that could support both assessment and development, while also surfacing AI-related capability gaps that might otherwise remain hidden.
Explore leadership AI judgement assessment design
Case Study: AI Literacy Assessment for Schools
The challenge: A school-facing offer needed to move beyond generic AI awareness and instead measure how students judged AI output, recognised weak evidence, and used AI responsibly in learning contexts. The goal was to assess capability, not just familiarity.
The solution: We developed an AI literacy assessment framework for schools using scenario-based judgement tasks, credibility evaluation prompts, and practical interpretation guidance for teachers and parents.
The value: This created a more useful assessment model for schools because it aligned AI literacy with reasoning, judgement, and responsible decision-making rather than simple knowledge recall.
Need a More Defensible AI Assessment Approach?
Whether you need a graduate simulation, a leadership AI judgement assessment, an AI readiness diagnostic, or a school-focused AI literacy tool, Rob Williams Assessment can help you design a more valid and commercially relevant solution.