Many of you may be familiar with the concept of digital twins in futuristic factories, but what if I of your business – a digital twin. The digital twin serves as your "golden thread" of compliance. It's a continuously updated digital record that tracks evidence, your commitments (regulations!) The digital twin empowers a proactive approach to compliance.

"Some say we don't do engineering in Canada anymore, not real engineering, never mind AI engineering, As an engineering practice, it utilizes the engineering method embodied through design and prototyping Agentic AI : AI with agency—the ability to act in digital or physical worlds, including autonomous decision-making Having smart AI is one thing, but having AI make decisions on its own with agency in the real or digital Engineering Standards AI systems must be properly engineered, preferably by licensed professionals.

living machines but are increasingly replacing human workers with AI-powered systems, algorithms, and digital The Promise and Peril of Digital Agents and AI As we grapple with these organizational challenges, many Agentic AI and digital agents promise increased efficiency, 24/7 availability, and the ability to process However, we must ask ourselves: Are we simply replacing human cogs in the machine with digital ones? Approach AI and digital agents as tools to augment human wisdom, not replace it.

Ray is one of the first licensed software/digital engineers in Canada. He chairs the Digital Engineering Committee for Engineers for the Profession (E4P), serves on OSPE's AI in Engineering Task Force, and advocates nationally for Professional Digital Engineering licensure

Ray is one of the first licensed software and computer engineers in Canada and has practised digital engineering for more than 40 years. He chairs the Digital Engineering Committee for Engineers for the Profession (E4P), serves on OSPE’s AI in Engineering Task Force, and advocates nationally for Professional Digital Engineering (PD.Eng.)

As artificial intelligence continues to advance, AI engineers face a practical challenge – how to build This isn't merely a theoretical concern but a practical engineering problem that requires thoughtful Standard engineering approaches are effective here. 2. Whether formal regulation emerges or not, the engineering challenge remains clear. Rather than relying solely on static evidence, successful AI engineering requires ongoing observation

There was a time when safety was engineered into the business, the plant, and the operations. It required qualified engineers to ensure harm was avoided, and that risks, when they occurred, were Laqua, P.Eng., PMP, is the founder of Lean Compliance and one of Ontario's first licensed software engineers He is a long-standing advocate for professional digital engineering and the accountable adoption of AI

Digital transformation has always been a challenge. Re-engineering a business to use new technology carries real risk, and more so when the benefits aren't He is one of Ontario's first licensed software engineers, chairs the Digital Engineering Committee for Engineers for the Profession, and advocates for professional digital engineering licensure in Canada He writes on AI governance, engineering assurance, and why technology should be adapted to the business

At its core, this is requirements engineering and system design work. Yet how many self-proclaimed "GRC engineers" can actually design systems and processes that deliver meaningful Simply calling yourself an engineer doesn't make you one. Other engineering disciplines have practice standards and licensing for good reason. It's time to establish formal practice standards for GRC engineering—education requirements, competency

What once required full engineering teams now happens through sophisticated prompt engineering and AI Where Traditional Engineering Still Matters Now this wave won't wash away all engineering domains equally  - Align your engineering practice from traditional engineering to AI system design; adopt AI engineering The engineers who adapted early secured the valuable remaining roles. practice focused on advancing AI engineering in Canada.

The Future of Professional Engineering Over the years, I’ve seen a decline in professional engineering If anyone can perform engineering, then why do you need professional engineers? , network engineers, and even now prompt engineers, all of who do not have a license to practice. We have reduced professional engineering to the things that engineering does, and in the process, forgotten what engineering is.

The sequence matters: proper engineering design must occur before deployment, not afterwards. by Raimund We currently lack enough licensed professional engineers with AI expertise to provide the engineering Professional engineering licensing ensures accountability for proper design practice. Engineering design can’t be an afterthought. Deploying systems first and then engineering them is a risk we simply can’t afford.