AI governance in regulated organisations
Accountability, oversight, assurance and organisational readiness.
Research
Governance questions for emerging enterprise AI.
Ongoing postgraduate research connects information systems, governance, assurance and regulated organisational environments.
Current topic
Governance and assurance for agentic AI.
The research examines how prudentially regulated and other highly regulated enterprises can govern and assure the use of agentic AI.
Areas of inquiry include accountability, oversight, autonomy, explainability, risk, controls and the evidence organisations may need to govern AI-enabled decisions.
The research is in progress. No completed framework, certification or regulatory approval is claimed.
Research process
Understand. Design. Examine. Refine.
The study uses a design-science orientation to move from the research problem and evidence toward a framework that can be examined and refined.
01UnderstandReview literature, regulation and the organisational problem.
02DesignDevelop framework requirements and concepts.
03ExamineConsider relevant enterprise scenarios and expert input.
04RefineImprove the framework based on evidence.
Related interests
Applied information-systems inquiry.
These themes reflect current professional and academic interests, not finished products.
Financial data and lineage
Meaning, traceability and controls across complex financial systems.
Legacy-system knowledge
Understanding embedded rules and dependencies during modernisation.
Public-sector digital capability
Building on co-authored published research on public-sector digital skills.
Contact us
Discuss a research or executive briefing enquiry.
Send an email with a short description of the topic.