Schmitz Trägerprüfung

Overview

Schmitz Trägerprüfung is an AI-assisted review that checks grant-applicant organisations (Träger) against the foundation’s own criteria. It gives reviewers a fast, sourced first read, so a manual eligibility process becomes a guided, evidence-backed workflow. The tool shares the Alvar Knowledge stack, carrying the same citation-validated answers, EU-hosted models, and row-level security. A common pool spans the foundation’s work, so review knowledge compounds rather than scattering. Reviewers keep the decision; the system does the structured groundwork underneath it. It is live at the Schmitz-Stiftungen today.

Specifications

• PURPOSE — Structured review of grant-applicant organisations

• CRITERIA — The foundation’s own Trägerprüfung criteria

• GROUNDING — Citation-validated answers

• MODELS — EU-hosted models

• SECURITY — Row-level security

• KNOWLEDGE — Common pool across the foundation’s work

Features

1. Structured review of Träger against foundation criteria

2. Fast, sourced first read for reviewers

3. Manual eligibility process turned into a guided workflow

4. Evidence-backed findings on every applicant

5. Citation-validated answers from the Alvar Knowledge stack

6. EU-hosted models throughout

7. Row-level security at the data layer

8. Common pool across the foundation’s work

Architecture

ELIGIBILITY REVIEW FLOW

1. Applicant organisation submitted

2. Retrieval over the foundation’s criteria and corpus

3. Structured first read assembled

4. Citations validated by the system

5. Evidence-backed assessment to the reviewer

6. Reviewer makes the decision