Agree the assessment uses, systems, decision stakes and governance responsibilities in scope
Independent specialist institutional review
AI Assessment Governance Review
Independent review of university AI assessment governance, human accountability, validity, fairness and student safeguards, with an evidence-based improvement roadmap.
Scope and context
How this review differs from existing SPECS AI support
This is a scoped consultancy evaluation of institutional evidence and controls, producing findings and a leadership improvement roadmap. The AI Quality Readiness Diagnostic examines wider institutional readiness; the AI and Assessment Integrity Workshop develops staff capability; the AI-Assisted Grading Governance Test workbook supports self-assessment; articles explain the issues. Those resources can inform a review but do not constitute its independent findings. The review does not certify an AI product, validate every assessment decision or replace institutional academic judgement. SPECS is an independent consultancy, not an accreditation authority. It is not endorsed by or acting on behalf of any regulator or accrediting body, and cannot guarantee accreditation, licensure, recognition or ranking outcomes.
The institutional challenge
Connect intention, implementation and evidence.
An AI policy alone does not demonstrate control over consequential assessment decisions. Leaders need evidence that staff retain qualified human judgement, assessment remains valid, student rights are protected and risks are monitored across the AI lifecycle.
How SPECS can help
A focused engagement shaped around your context and decision needs.
Review policies, approval records, assessment designs, validation evidence and a proportionate sample of practice
Interview accountable leaders and staff; test human review, override authority, escalation and appeals
Evaluate reliability, fairness, accessibility, data safeguards, supplier oversight and continuing monitoring
Identify governance gaps, risk priorities and conditions requiring restriction, further validation or a pause
Typical outputs
Practical deliverables that support leadership decisions and institutional action.
Executive governance findings and evidence limitations
Assessment risk and control matrix
Human accountability and decision-rights map
Prioritised improvement roadmap with owners and closure evidence
What the engagement enables
Improvement that can be owned, evidenced and sustained.
- Clear ownership of improvement priorities
- Stronger evidence for leadership decisions
- Sustainable institutional capability
The SPECS approach
Five connected stages from governance to demonstrable improvement.
- 01
Govern
Clarify purpose, accountability and standards.
- 02
Design
Align the engagement with context and outcomes.
- 03
Enable
Build capability and consistent practice.
- 04
Verify
Test implementation, evidence and effectiveness.
- 05
Improve & Scale
Close gaps and sustain what works.
Frequently asked questions
Clarify the engagement boundary before work begins.
What evidence is needed?
Depending on scope, evidence can include AI and assessment policies, approval minutes, system inventories, validation and fairness studies, assessment samples, human-review records, student information, appeals, data assessments and monitoring reports. Missing evidence is reported as a limitation or gap.
Is this a workshop, automated audit or certification?
No. It is an independent consultancy review based on an agreed evidence sample, interviews and professional evaluation. It produces findings and actions rather than an accreditation or product certification.
Who remains accountable?
The institution retains responsibility for academic standards, assessment decisions, student rights, data protection and implementation. Qualified human reviewers must have meaningful authority to challenge and override AI-supported judgements.
Start a conversation
What quality priority should your institution address next?
Tell us the review, risk or improvement priority you are working through. A senior SPECS consultant will help you define a useful first step.