Using Key Performance Indicators (KPIs) to regulate and drive operational functions is table stakes for Operational Drivers Variables : that might impact the strategic outcome, such as pricing, consumer reviews Leading indicator are the holy grail of operational performance and require knowledge of what should Data describing this knowledge seldom appears in operational records or logs and would need to be integrated Lack of understanding of operational systems, processes, and behaviours? Uncertainty and risk?

Traditional compliance frameworks, designed for predictable industrial processes and human-operated systems predictable inputs and outputs, AI systems exhibit emergent properties, adapt through learning, and often operate

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.

hope is that this will be enough to satisfy external regulators and maintain a regulatory license to operate Adopting Compliance 2 requires establishing processes to define the lines followed by the operational Operational compliance is responsible to implement these capabilities and processes. This will include evaluating the level of compliance and operational risk.

There are three categories of measures to help you know if your systems are operating at levels to meet compliance function goes further to ensure that safety, quality, environmental, and regulatory systems are operating

Process safety practices have evolved over decades of experience and many lessons learned. case of an incident an emergency response system is used to minimize consequences and to restore safe operations

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

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

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

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.

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 "