01 / Fair access
A shared environment
Provide a common AI tool so access during the assessment does not depend on personal subscriptions. Agree candidate support and adjustments for the role.
Fair, transparent assessment of people working with AI
Make hiring reflect how people really work. Give candidates a shared AI environment and your hiring team clear evidence of how they frame problems, check suggestions and contribute to the result.
Built around your role. Every mark awarded by a human.
How AI-permitted assessments workDecision memo
“The recommendation depends on an assumption we haven’t verified.”
Evidence examined
Sources, exhibits and working notes
AI interaction
Questions, challenges and checks
Reasoning defended
A decision and its limitations
Fictional example · no candidate data shown
Using AI is a legitimate workplace skill. Review both the finished work and the contribution the candidate makes: how they frame a problem, prompt AI, evaluate its suggestions, adapt its output and prioritise.
01 / Fair access
Provide a common AI tool so access during the assessment does not depend on personal subscriptions. Agree candidate support and adjustments for the role.
02 / Meaningful control
Configure the permitted AI support and make the rules clear before candidates begin. Optional simulated messages should serve a defined assessment purpose.
03 / Visible skills
Review the AI conversation alongside the submitted work against agreed criteria. Human assessors award every mark; your hiring team makes the decision.
Anonymous case study
Participant feedback from one senior analyst recruitment exercise: a 60-minute briefing task, visible built-in AI use, a changing-priority message and human marking.
Read the case studyThe role sets the challenge
Our available assessment material covers programming, data science, cybersecurity and other professional skills. Judgement is one skill within that broader picture.
These examples illustrate possible tasks. We agree the selected material, delivery requirements and assessment criteria for your role. Quality and validation claims must follow evidence for the intended use.
Explain, check and improve code with AI support suited to the task.
Review a modelling pipeline and explain what to check before trusting its result.
Interpret supplied security information and explain response priorities.
Investigate conflicting evidence, weigh trade-offs and explain a recommendation.
One role. One real recruitment round.
Assess it with real candidates in one agreed recruitment round. Define the role, candidate numbers, timetable, data arrangements and human assessor responsibilities before anyone takes part.
Discuss your free trialAgree what candidates should demonstrate, the cohort size, the timetable and any adjustments they need.
Agree the assessment material and marking guide. Have your subject experts review and trial the candidate experience.
Invite candidates, brief assessors and review the work. Record panel feedback and delivery effort to decide what to repeat.
A clear agreement before candidates start
Review candidate completion, assessor feedback and the usefulness of the evidence together. Any paid continuation is a separate decision, with no automatic obligation.
Use Meritia for the work-assessment stage alongside your existing recruitment process. Your human assessors award the marks and your hiring team makes the decision.
Founder-reported participation in earlier pilots of the platform. These figures describe use, not validated hiring outcomes.
120
candidates · senior legal pilot
50
candidates · senior finance pilot
Meritia helps hiring teams assess people working with AI, with fair access to tools and clear evidence of the skills behind the result. In our written work simulations, assessors review candidates’ built-in AI conversations alongside their submitted work. Human assessors award every mark; your hiring team makes the hiring decision.
A work simulation asks a candidate to tackle a realistic challenge related to the role. In Meritia, candidates receive a brief and supporting material, investigate the evidence and produce written work explaining their recommendation. The assessment gives your panel concrete work to discuss alongside the rest of your recruitment process.
Our available assessment material covers programming, data science, cybersecurity and other professional skills, including judgement. We agree the task, permitted AI support, assessment criteria and delivery requirements for your role. The public sample illustrates one written exercise; the selected technical assessment and its delivery are scoped separately.
Candidates can use Meritia’s built-in AI assistant under explicit assessment rules. Assessors can review their prompts and AI responses alongside their written work to understand the questions they ask, the responses they challenge and the decisions they defend. This record covers AI used inside Meritia, rather than activity in personal AI accounts or other devices.
No. AI does not mark any part of Meritia’s assessment. Human assessors review the candidate’s work against agreed criteria and award every mark. Your hiring team makes the hiring decision.
No. Your assessors review candidate work against agreed criteria, and your team makes the hiring decision. Meritia supports the work-assessment stage alongside your existing recruitment process.
Pasting, time away from the assessment and similarity to AI output can provide context for a human review. None alone establishes misconduct. Interpret those signals alongside the task, declared AI conditions and the candidate’s work.
Discuss a full free trial for one real recruitment round. Before candidates participate, we agree the role, candidate numbers, timetable, data arrangements, assessor responsibilities and measures of usefulness. Your human assessors award the marks. Any paid continuation is a separate decision, with no automatic obligation.