Full sample: 8-layer determination + 3 fix-first items + 3 distributional-shape charts + counterparty-question rehearsal + independent-verifier declaration. Same structure your institution's actual Snapshot delivers within 3 business days.
High-severity distributional-drift events. Cohort A3 (first-gen mid-low-income) deny-lane rate rose 24% -> 68% silently. Your institution's Snapshot uses the same structure -- your data, your AI, your jurisdictional footprint. $499. 3 business days.
R1 / R2 or well-endowed private research university ($1B-$5B endowment, 25,000-65,000 applications per admission cycle) running an AI decision-support classifier that scores each applicant and routes to lane:
Silent drift: post-Day 45, Cohort A3 (mid-low-income, first-generation-college, under-resourced public school applicants) systematically over-routed to deny-or-waitlist lane at 68% vs baseline 24% — a 44 percentage-point cohort-differential that never triggered an alarm on the institution's enrollment-management dashboard.
Under Title VI of the Civil Rights Act of 1964 (42 USC Sec. 2000d) plus Students for Fair Admissions v. Harvard (600 U.S. 181, 2023), any AI-driven admissions decision from the affected period that produces disparate-impact through socioeconomic-proxy variables is subject to OCR investigation, DOJ Title VI referral, State AG consumer-protection inquiry, accreditor site-visit finding, and potential Higher Education Act Section 498 Title IV federal student-aid eligibility challenge.
| Section | What you get |
|---|---|
| Scope + regulatory framework | Named accreditor footprint + Title VI + Title IX + SFFA v. Harvard + FERPA + OCR AI guidance + State AG regime + accreditor AI-in-decision-making standards + HEA Section 498 Title IV eligibility |
| Sensor summary | Independent-observer specifics, distinct model family, retention pipeline distinct from your Slate / Element451 / EAB Navigate / Salesforce Education Cloud / Ellucian / Workday Student stack |
| Findings summary | Count of drift events + high/medium severity + cohort-differential flag + first-drift-day |
| Overall determination | Category A / B / C w/ specific meaning + remediation-path recommendation |
| 3 fix-first items | Scoped to YOUR admissions AI surface, YOUR accreditor footprint, YOUR next OCR-inspection or accreditor site-visit cycle |
| Detailed drift events | Every drift event day + type + affected cohort + severity + plain-language detail |
| Counterparty-question rehearsal | 5 sample decisions from the target-day w/ cryptographic decision-hash reproducibility verification suitable for OCR / DOJ / State AG / accreditor / class-action counsel production |
| Upgrade paths | Baseline ($2,500 / 5 days) OR Enterprise Attestation ($35-55K / 3-6 weeks board-ready) + $499 Snapshot credit applies |
| Independent-verifier declaration | Signed by Kevin Luddy personally |
| Charts + artifacts | 3 distributional-shape charts + machine-readable JSON + decision-hash lookup table |
Full Snapshot Report (markdown) Executive One-Pager (markdown)
Same structure as this sample. Your institution's data, your admissions AI system, your accreditor footprint, your regulatory-framework citations. Big-4 higher-ed consultancy equivalent (Deloitte Higher Education practice, EY Education advisory, AACRAO third-party AI audit) delivers this same outcome for $200K-$1M+. Kevin ships it at 5-10% of that cost.
Buy your Snapshot — $499