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This is where engineering truly comes into its own. The specialized engineering practices become standardized procedures. As AI moves beyond pure research, distinct engineering domains are starting to crystallize. spectrum of digital engineering disciplines. group on AI in Engineering, where he helps shape the future of professional engineering practice in

Engineering establishes that a system is safe, reliable, and capable of delivering benefits before it We chose adoption, and the engineering phase was declared unnecessary rather than skipped. Whether an application demands engineering is a decision to make before procurement, not after an incident The engineering, the regulation, the organization's own knowledge, and the accountability cannot. He writes about compliance, engineering, and AI at leancompliance.ca.

past the prescriptive rule, and now asks its management systems to govern something that was never engineered What it does not have is an engineered security system — an integrated arrangement of people, process This is engineering work. Engineering work belongs to engineers. The Professional Digital Engineering discussion underway in Canada and elsewhere is not separate from It moved from prescriptive codes to engineered protective systems with management systems above them,

What looks like "assembling" pre-built AI components actually requires substantial custom engineering Invest in AI Engineering : Develop systematic design capabilities specifically for adaptive systems, Skipping the engineering stage to accelerate AI adoption is not only unwise, it's a failure to exercise spectrum of digital engineering disciplines. group on AI in Engineering, where he helps shape the future of professional engineering practice in

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

By Raimund Laqua, Lean Compliance Engineer Mistakes aren't failures—they’re lessons. Because when compliance engineers make mistakes, people die. The connection is engineered to work every time. Now apply this to compliance. Engineering Reliable Delivery Build obligation fulfillment into the process.   Engineer commitment keeping.  Your car won't start without a seatbelt.

Every automated step was deliberately engineered into a known path. The system of record isn't part of that path unless someone engineered it to be. Nobody has engineered it to keep yours. Can Agents Follow Governance Policy? If the constraint was well-engineered, the behaviour looks like compliance. , serves on OSPE's AI in Engineering committee, and advocates for federal Digital Engineering licensing

Not as a futurist making predictions, but as a computer engineer with over thirty years in heavily regulated Engineering Discipline in a Post-Code World I’m a computer engineer by training. That is an engineering question, not a programming question. the AI Committee for Engineers for the Profession, where we’re advocating for professional engineering for Engineers for the Profession (E4P), advocating for professional engineering standards in digital

Multiplicity: Designing What This Is and What This Is Not With the essentials established, the engineer The Rub Here is where engineering demands expertise. The engineer's expertise lives in this tension: defining identity tightly enough that the thing remains This is the bridge between engineering and compliance. First Principles Engineering is about building things.

finished design, but a direction worth examining for security architects, compliance practitioners, AI engineers He serves on ISO's ESG working group and OSPE's AI in Engineering committee, and chairs the AI Committee for Engineers for the Profession (E4P), where he advocates for federal licensing of digital engineering

The following diagram is a slightly modified version of her model outlining engineering activities across At this level of analysis we are talking about AI Systems (i.e. engineered systems) not about systems A key takeaway is that AI engineering must incorporate and ensure responsible and safe design & practice This is where professional AI engineers are most helpful and needed.

It’s time for Engineers bound not by rings of power, but by a higher calling to rise up and take their It’s time for Professional AI Engineers, more than technology experts, but engineers who are also courageous Engineers who are willing to fight the AI Dragon of Uncertainty.