AI for validation and continuous improvement
Overview
Validation and continuous improvement are activities where pattern recognition across large evidence bases adds real value — and AI is genuinely good at pattern recognition. This session covers AI-assisted validation analysis, complaints trend identification, student outcome pattern detection, and continuous improvement opportunity surfacing. Includes the data preparation work that makes AI analysis useful and the interpretation work that turns AI insights into governance-ready improvement recommendations.
What you will learn
- Where AI adds genuine value across validation and CI cycles
- How to surface patterns across cohorts, units and assessor decisions
- The interpretation work that turns AI insights into governance-ready improvements
- How to document AI use so validation outcomes remain defensible
Who should attend
- Compliance Managers and Quality Coordinators
- Lead Trainers leading validation panels
- RTO Managers responsible for CI cycles
- Governing Persons reviewing CI and self-assurance outcomes
Facilitator
Angela Connell-Richards
Angela Connell-Richards founded Vivacity Coaching & Consulting in 2009 and has spent more than 15 years helping RTOs turn the messy reality of compliance into systems that actually work. She facilitates four of the five Vivacity event series, holds a Master of Business, and is the author of The Governance Shift and 8 Critical Drivers to RTO Success. She does not facilitate from theory — every framework she shares has been used to solve a real problem for a real client.
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