Achieve intelligent automation goals and manage associated risks
When humans and systems collaborate, the possibilities are almost endless. The leap to automation requires guidance to focus on the right processes and manage the associated risks. When rethinking the way your organization does business, it is critical your organization is ready. KPMG is here to help.
How should internal audit address automation?
Internal audit functions can help the organization achieve desired results from automation while avoiding the pitfalls. Audit executives have three important roles to fill in intelligent automation initiatives:
Our latest thinking
Responsible AI and the challenge of AI risk
To help better understand how businesses are approaching AI risk, KPMG asked executives across multiple sectors for their views of the risks associated with their AI and predictive analytics models. This report sheds light on their perceptions of those risks and the challenges they face in addressing them.
Responsible AI
Successful AI adoption requires an approach to designing, building and deploying AI systems in a safe, trustworthy and ethical manner. It requires experienced governance, risk and compliance (GRC) professionals who can help develop an operating model and governance structure that drives accountability.
The flip side of generative AI
Discover the risk management challenges raised by generative AI and underscore the importance for organizations to identify these risks early, form governance constructs to help adopt generative AI responsibly, and understand how risks may impact building trust in the use of generative AI.
ChatGPT writes the story of the promise and perils of generative AI
A new article published in the Institute of Internal Auditors’ (IIA) latest issue of Internal Auditor magazine features an interview with KPMG’s very own Internal Audit & Enterprise Risk Managing Director, Charles King, on the rise of generative AI and what it means for the internal audit function. The article also reveals Charles’ perspective on best practices for businesses to embrace AI safely and effectively.
Ethical AI: Five guiding pillars
Insights that can help you re-imagine your business model and transform your workplace around it, thereby enabling your organization to build and deploy AI models that have integrity and transparency. At stake are business outcomes—and ultimately, the trust and confidence of your customers, your employees, and society at large.
Intelligent automation and internal audit
Considerations for assessing and leveraging intelligent automation
Intelligent automation and internal audit
Adding value through governance, risk management, and controls
Intelligent automation and internal audit
To make your process smarter, turn to your process guides
A change imperative for internal audit
Intelligent automation
Internal audit's launch towards tomorrow
Intelligent automation
Revolutionizing internal audit: The power of AI and data analytics in audit execution
AI and data analytics are reshaping internal audits and requiring development of new strategies for effective adoption and integration.