SR
Scholarship Review Console Base workflow + optional AI layer
AI Review Layer AI-Assisted Review Mode
AI-assisted view

Human review, with an optional AI assist.

A synthetic scholarship workflow that works as a human review tool, then adds evidence-backed scoring, confidence, and uncertainty routing when the AI layer is enabled.

Base app

Human review workflow

Applications, essays, reviewer notes, manual status changes, and decision tracking remain usable when the AI layer is off.

AI Review Layer AI layer off

AI-assisted prioritization

When enabled, the layer adds category scoring, evidence snippets, confidence, and low-confidence routing without replacing the reviewer.

Review safeguards Human review

Validation before trust

Reviewer agreement, uncertainty routing, regression cases, and drift checks define what must be monitored before trust grows.

Live prototype

Application queue

Toggle the AI review layer to see the same scholarship workflow before and after the AI-assisted layer is enabled.

Scholarship applications

6 applications
AI-assisted triage

Review detail

Manual decision remains human-owned
AI recommendation
Reviewer rubric

Five weighted categories

Both modes use the same categories and weights. Assisted mode proposes a score from application evidence; reviewers interpret the context and own the decision.

Evidence requirementCite the application text behind a proposed score, or mark the evidence missing.
Deterministic

Keep the model out of rules

  • Required field checks
  • Score normalization
  • Routing thresholds
  • Schema validation
AI-assisted AI layer off

Use AI for messy judgment

  • Essay interpretation
  • Evidence extraction
  • Rubric classification
  • Reviewer summary drafting
Human-owned

Final decisions stay accountable

  • Award decisions
  • Ambiguous cases
  • Policy exceptions
  • Sensitive judgments
Trust and measurement

Validation before trust

These are evaluation methods for an assisted workflow, not measured results or claims about production performance.

Manual Review Mode The base workflow still records reviewer decisions and notes. Assisted-mode evaluation appears when AI recommendations are enabled.
Compare

Reviewer agreement

Review where AI proposals and final human judgments align or diverge, then inspect the evidence behind the disagreement.

Route

Uncertainty

Hold ambiguous, missing-context, and underrepresented cases for a reviewer instead of treating absence as confidence.

Test

Regression cases

Re-run representative and difficult cases when the model, rubric, or decision rules change.

Watch

Drift

Monitor changes in evidence quality, recommendation patterns, and reviewer overrides before expanding use.