To regulate a system is to keep it operating between the lines, where it is supposed to be: to sense We have no operating envelope for AI — no defined region of safe operations within which the system is In a refinery, that accounting is required before you are allowed to operate. It treats the safe, secure, and accountable operation of AI as an engineering problem with an evidence Define the envelope they operate within and the independent layers that hold when something fails.

compliance what I find is scaffolding, and partial framing that are insufficient to create something that is operational the parts, many of the processes, but lack the essential capabilities needed to achieve compliance operability something that works Many organizations would be better off with compliance that is working – that is operational Without an operational perspective you can never fully know how to improve a process or even what processes However, it will only be when they work together to form an operational system that you will finally

Management, as a fundamental aspect of organizational structure, exists to address the operational risks They establish protocols, allocate resources, and monitor progress to ensure that operations run smoothly Managers become more than mere administrators; they become operational leaders who align the work of Operational leadership, within the context of management, involves inspiring and guiding teams towards Operational leaders empower their teams by providing guidance, mentorship, and support, allowing them

mostly the opposite: commitments made, obligations held, decisions taken, how the organization actually operates I have spent considerable time teaching AI systems what Lean Compliance means from an operational perspective Much of what matters lives in unwritten commitments and operating norms that no retrieval system can Sufficiency degrades in operation.

Ad-hoc approaches create operational risks that compound as systems evolve unpredictably, while engineered Ad-hoc AI deployments create knowledge silos and operational dependencies that become increasingly expensive also makes design essential because these systems will continue changing behaviour throughout their operational Organizations that continue applying familiar IT methods to AI will create operational risks, compliance in high-risk and regulated industries, specializing in lean methodologies and operational compliance

We've become adept at streamlining operations and automating processes, while falling short in fostering that this is where middle management comes in - to bridge the gap between organizational outcomes and operational are left are caught between the strategic vision of upper management and the day-to-day realities of operations Reinvent middle management to truly bridge the gap between strategy and operations.

Modern compliance must regulate at faster rates to keep an organization always on-side and operating In modern switch-mode power supplies this happens at a frequency between 20,000 to 2 million cycles per The number of days spent operating outside the lines along with the time it takes to return to acceptable What impact would being off-side for two-years have on your operations? This process functions as a real-time compliance regulator to keep an organization always operating between

AI is a technology that operates within existing systems—systems that in highly-regulated, high risk MOC Process safety regulations require an MOC to be conducted before modifying any safety-critical operation For instance, if operators begin relying on AI alerts instead of conducting scheduled inspections, the Principle 2: Protect Operational Systems Isolate the hazard, then control the risks. This is the work of engineering: not making perfect systems, but making systems that fail safely, that operate

Most of this transformation has centered around the adoption of risk-based: strategies, operations, and is perhaps more important is that it is happening bringing with it continued changes for those who operate These practices are used in conjunction with and part of the development of an agency's risk-based operating Regulatory agencies may offer the private sector unique insights into how a risk-based operating framework Compliance will also evolve to become for those under regulation a " risk-based operational system "

occur before deployment, not afterwards. by Raimund Laqua, PMP, P.Eng  As a professional engineer with over This creates what I call an “operational compliance gap.” They give the appearance of protection, but without the operational capabilities to ensure that what consequences of deploying unengineered AI systems aren’t abstract future concerns; they’re immediate risks to operational

There are times when leadership sets their gaze on operations in order to better delight their customers , increase margins, or improve operational excellence. Over-simplification (a source of improvement waste) can create new or expose existing vulnerabilities Productivity programs serve the value chain by improving margins through operational excellence and LEAN You might say that since every process operates in the presence of uncertainty, LEAN practitioners should

assessments Managed risk,  not just bigger risk management databases And we need all of this to be operational I work with organizations to build operational approaches that actually manage hazards in real time,