# AI supports the evaluation. Humans make the decision.

> TAP uses AI to analyse responses, surface behavioural evidence, and suggest scores — while assessors review, edit, and approve every result.

Source: https://www.usetap.ai/en/product/ai-assisted-evaluation

Evaluating open-ended responses at scale is slow and inconsistent. TAP applies BARS and BOS methodologies so AI can extract evidence and propose scores against clear behavioural anchors, giving assessors a faster, more consistent starting point that they remain fully in control of.

## How AI-assisted evaluation works

- **Evidence extraction**: AI reads each response and highlights behavioural evidence linked to the relevant competency.
- **Score suggestions**: Using BARS-based rubrics, AI proposes a score with the reasoning behind it.
- **Assessor review**: Assessors inspect the evidence, adjust or override scores, and add their own notes.
- **Human approval**: No report is finalised until an assessor approves the evaluation.

## Key capabilities

- Evidence extraction mapped to competencies
- BARS-based score suggestions with rationale
- Full assessor review and override
- Human approval before final reporting
- Consistent rubrics across all participants
- Audit trail of AI suggestions and changes

## Contact

Book a demo: https://www.usetap.ai/en/contact
Email: hey@theleapers.co