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02/Evaluations & Juries

Standardize and Objectify Your Evaluation Process

Consistent, explainable, and auditable evaluations — for every jury, every session, every program.

02/The challenge

Where the process breaks

01

Evaluation panels score inconsistently across reviewers

Without a shared, weighted grid, the same file can get very different scores from one panel to the next.

02

Jury preparation is time-consuming

Consolidating files, distributing scorecards, collecting feedback — everything is done manually.

03

Deliberations lack traceability

Justifying a decision after the fact is difficult in the event of a dispute or accreditation audit.

AI Act compliance is complex to ensure for evaluations

100% of EU/UK RFPs now require AI Act compliance — every decision must be documented and justifiable.

04

Cognitive overload affects decision quality

Reviewers see too many files in too little time, creating decision fatigue.

03/Features

The Intelligence Layer

6 capabilities, each shown the way it runs in the product. Scroll through them.

  1. 0106

    Standardized Evaluation Grid

    Customizable scoring rubrics by program — weighted criteria, structured comments, consistent scoring across panels. Every dimension is configurable without code.

  2. 0206

    AI-Powered Pre-Scoring

    Automatic pre-scoring of files before jury presentation — explainable scoring by academic, professional, and motivational dimension. SHAP technology on every dimension.

  3. 0306

    Jury Portal & Workflow

    Dedicated jury member portal: access to filtered files, score entry, real-time deliberation tracking. Accessible from any device.

  4. 0406

    Explainable Decisions (SHAP)

    Every AI recommendation is justified — SHAP technology, detailed scoring criteria, no black box. Ready for AACSB, EQUIS, AMBA audits.

  5. 0506

    Audit Trail & AI Act Compliance

    Complete log of every decision: timestamp, model version, evaluators involved. 6 AI Act compliance pillars covered, external audit completed.

  6. 0606

    Blind Evaluation

    Automatic masking of personal data (PII) during evaluation — names, photos, gender, nationality redacted to ensure fairness.

01/06Standardized Evaluation Grid

04/How It Works

End-to-End Process

  1. 01

    Quick setup

    Configure your scoring criteria, evaluation rubrics, and workflows. Connect to your CRM via API in a matter of hours.

  2. 02

    Application intake

    The applicant submits their file. Documents are received and structured automatically.

  3. 03

    AI processing

    AI checks eligibility, validates documents, and generates an explainable score with breakdown by dimension.

  4. 04

    Human review

    Your teams review the shortlists. The human always makes the final decision.

  5. 05

    Decision & communication

    Decisions trigger personalized communications. Admitted students receive their onboarding information instantly.

05/Benefits

Proven Results

Measured

100%

AI Act compliance — 6 pillars, external audit done.

  • Reduced jury preparation and deliberation time.
  • Guaranteed consistency across all reviewers and all sessions.
  • Full traceability for accreditations (AACSB, EQUIS, AMBA).
  • Less bias, more fairness — built-in monitoring to detect and address statistical disparities across groups.

06/Case Study

Typical Workflow

  1. Evaluation Setup

    Define rubrics, criteria weights, and reviewer assignments for each evaluation context.

  2. Submission Processing

    Student submissions are collected and organized. Relevant context is prepared for reviewers.

  3. Scoring Assistance

    The platform provides structured scoring interfaces with rubric guidance and consistency checks.

  4. Jury Preparation

    For jury decisions, the platform compiles dossiers with all relevant information and prior assessments.

  5. Decision Documentation

    Final grades and decisions are recorded with full rationale for future reference.

07/Human in the loop

AI prepares. People decide.

What Is Automated

  • ✓Rubric-guided scoring interfaces
  • ✓Consistency and anomaly flagging
  • ✓Dossier compilation for juries
  • ✓Grade normalization assistance
  • ✓Documentation generation

What Remains Human

  • All grading and evaluation decisions
  • Jury deliberations and votes
  • Rubric and criteria definition
  • Grade dispute resolution
  • Academic judgment calls

Audit trail

Outputs & Auditability

Output 01 ■ logged

Evaluation Records

Complete scoring history with criteria and rationale.

Output 02 ■ logged

Jury Minutes

Documented decisions with voting records and justifications.

Output 03 ■ logged

Analytics

Insights into grading patterns across instructors and courses.

Next / 03

Graduation & Records

Ready to standardize your evaluation process?

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