AI can support assessment. It should not make the final decision alone.
TAP is designed around human-in-the-loop AI. The platform can analyse responses and suggest evaluation outputs, but final assessment decisions remain under human control.
AI can make assessment work faster and more scalable, but high-stakes people decisions require transparency, review, and accountability. TAP gives assessors the ability to inspect AI-generated evidence, understand scoring suggestions, edit outputs, and approve final reports.
Our principles
AI supports, humans decide
TAP AI surfaces evidence and scores — assessors review, adjust, and approve every result before it is final.
Every score is explainable
Score suggestions come with the reasoning and evidence behind them, not just a number.
Assessors can override
Any AI suggestion can be edited or overridden by a human assessor at any time.
Evaluation history is auditable
All AI suggestions, changes, and approvals are logged for transparency and accountability.
Design principles
- AI supports, humans decide
- Every score should be explainable
- Evidence should be visible
- Assessors can override AI suggestions
- Evaluation history should be auditable
- Final decisions remain accountable to people