Opportunities and Challenges in Applying Quality Management Standards to Technology
Emerging technologies, such as generative artificial intelligence, machine learning, and advanced automation, are transforming audit and assurance engagements. As these technologies become more widely adopted, they offer opportunities to enhance engagement quality and efficiency. However, they also introduce challenges, such as when the technology’s logic is hard to explain, when its outputs vary for the same input, or when tools change over time.
These complexities can raise challenges in applying the quality management standards:
- International Standard on Quality Management (ISQM) 1, Quality Management for Firms that Perform Audits or Reviews of Financial Statements, or Other Assurance or Related Services Engagements (adopted as Canadian Standard on Quality Management (CSQM) 1 in Canada)
- International Standard on Auditing (ISA) 220 (Revised), Quality Management for an Audit of Financial Statements (adopted as Canadian Auditing Standard (CAS) 220 in Canada)
In response to these challenges, the International Auditing and Assurance Standards Board (IAASB) launched the Technology Quality Management Workstream, focusing on:
- identifying where applying quality management standards to emerging technologies are unclear or challenging; and
- determining what additional support (e.g. non-authoritative materials or other activities) may be needed to clarify their application.
The goal is to promote clarity, consistency in practice, and support innovation within the profession.