Clarify AI-related assessment and assurance risks
Practical institutional capability development
AI and Assessment Integrity Workshop
A focused 60-minute workshop that helps academic and quality teams make defensible decisions about generative AI, assessment design and academic integrity.
The institutional challenge
Connect intention, implementation and evidence.
Blanket prohibition and uncontrolled adoption both create risk. Staff need a shared language and practical framework for deciding where AI use supports learning, where it threatens validity and what evidence of student achievement remains necessary.
How SPECS can help
A focused engagement shaped around your context and decision needs.
Apply practical scenarios to authentic assessment decisions
Distinguish permitted, declared and prohibited uses
Identify immediate policy, design and capability priorities
Typical outputs
Practical deliverables that support leadership decisions and institutional action.
Facilitated 60-minute workshop
Participant workbook and decision tools
Assessment scenario exercises
Institutional action summary
What the engagement enables
Improvement that can be owned, evidenced and sustained.
- Shared institutional language
- More defensible assessment design
- Clearer staff and student expectations
- Prioritised follow-through
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.
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.