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Tag Archives: Artificial Intelligence
Contractor Safety Management: The Contractor Operational Integrity Model
I’m pleased to share my latest article: “The Future of Contractor Safety Management: The Contractor Operational Integrity Model.”
The impetus for this piece came from my participation on a contractor safety panel at the Avetta annual conference in Chicago in mid-May. The discussion reinforced something I believe strongly: contractor safety management is moving into a new era.
For too long, contractor safety has often been treated as a compliance and prequalification process. Those elements still matter, but they are not enough. The future is about work readiness, verified control of work, and operational integrity at the point where risk is real.
In the article, I introduce the Contractor Operational Integrity Model, built around six core elements:
Critical Risk Definition
Capability and Capacity Verification
Control of Work Discipline
Field Verification and Leadership Cadence
Performance Intelligence
Corrective Learning and System Improvement
The central message is straightforward:
Compliance is the foundation. Operational integrity is the standard.
Contractor safety is not just a safety department issue. It is a test of how well safety, operations, procurement, maintenance, and contractors operate as one system under real field conditions.
I appreciate the Avetta team for hosting a strong discussion and creating space for practical dialogue on where contractor risk management needs to go next. Continue reading
Posted in AI, Artificial Intelligence, contractor safety, enterprise risk management, Innovation
Tagged AI, Artificial Intelligence, business, contractor operational integrity, contractor risk management, contractor safety, contractor safety management, control of work, EHS leadership, ehs-leadership, field verification, heavy industry safety, news, safety management systems, technology, work readiness
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Operational Integrity: The Operating Model Heavy Manufacturing Needs
Heavy manufacturing does not fail all at once. It usually fails in layers.
A workaround becomes normal. A critical control weakens. A maintenance backlog grows. A near miss is explained away because no one was hurt. Over time, the operation drifts from discipline into exposure.
That is why I believe Operational Integrity needs to be treated as an overarching operating model, not just another safety, reliability, or compliance initiative.
In this article, I outline a practical framework for Operational Integrity built around five elements:
Operating Envelope | Strong Systems | Reliable Equipment | Leadership Cadence | Disciplined Operations
The goal is simple: help manufacturing organizations run with greater control, consistency, resilience, and accountability — for the benefit of employees, customers, communities, owners, and all stakeholders who depend on the enterprise. Continue reading
Posted in Culture, Employee Engagement
Tagged Artificial Intelligence, business, critical control management, equipment reliability, heavy manufacturing safety, industrial safety leadership, Leadership, manufacturing leadership, manufacturing risk management, manufacturing-operational-integrity, manufacturing-resilience, operational excellence, operational integrity, process safety management, safety culture, safety-innovation, technology
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Cyber-Physical Risk in the Age of AI: How Safety Professionals Help Directors Make Better Operational Technology Investment Decisions – Part 4
As the final article in this four-part series, Fay Feeney and I bring the conversation into the boardroom. Operational technology is no longer just an engineering concern—it is a governance test. As AI-enabled assets reshape industrial operations, directors are approving new risk profiles, resilience assumptions, and value-creation models. Continue reading
Posted in AI, Artificial Intelligence, EHS Management, enterprise risk management, Leadership, Machine Learning, Sustainability Leadership
Tagged AI, AI operational technology risk, AIOT Resilience Index, Artificial Intelligence, board oversight cybersecurity, business, cyber physical risk management, cyber-physical risk management, enterprise risk management OT, industrial cyber resilience, Leadership, operational technology governance, OT capital investment risk, OT cyber risk, safety professionals and cybersecurity, technology
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Automated Reasoning for Human Error Detection in Industrial Operations
Most incidents aren’t caused by a single mistake—they result from conditions that made failure likely long before it happened.
In this article, I explore how automated reasoning can help EHS and operational leaders detect those conditions earlier, connect weak signals, and make more consistent, defensible decisions in real time. Just as important, I outline where technology stops—and where human leadership, trust, and judgment still determine outcomes.
The future of safety isn’t human or AI—it’s the integration of both to anticipate risk and act before it becomes reality. Continue reading
Seeing Risk Before It Hurts: An Example of How Predictive Analytics Are Redefining Safety
Most safety systems are designed to explain injuries after they happen—not to prevent them while risk is forming. What if EHS leaders could see danger emerging in real time, understand why it’s happening, and intervene before someone gets hurt? This article outlines a bold predictive safety concept that uses AI, computer vision, and causal analytics to challenge traditional thinking about leading indicators and redefine what proactive risk management in manufacturing could look like. Continue reading
Posted in AI, Artificial Intelligence, EHS Management, Injury Prevention, Machine Learning, psychological-safety
Tagged AI, AI in EHS, Artificial Intelligence, computer vision safety, leading indicators safety, manufacturing safety innovation, occupational injury prevention, predictive safety analytics, proactive safety management, real-time risk management, safety analytics and AI, structural equation modeling safety, technology
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A Discussion About the Future of OSH with AI+Humans
AI is rapidly transforming the EHS profession, accelerating how we learn, make decisions, and uncover insights that were previously out of reach. This podcast conversation explores what happens when human expertise and machine intelligence converge to shape the future of safety and work. Continue reading
Human + AI: The Power of Synergistic Collaboration
Are humans being replaced by AI in the workplace? In EHS and sustainability, the answer is no—what’s emerging is far more powerful: synergistic collaboration between people and AI. In my latest article, I explore how human insight, cognitive resilience, and ethical judgment combined with AI’s predictive and analytical power are transforming leadership, decision-making, and workforce development. Discover how leaders can harness shared intelligence to drive safer, smarter, and more sustainable outcomes. Continue reading
Posted in AI, Artificial Intelligence, EHS Management, Uncategorized
Tagged AI, AI and sustainability, AI in workplace safety, Artificial Intelligence, cognitive resilience, EHS leadership, ehs-leadership, emerging safety professionals, Human-AI collaboration, human-AI feedback loop, occupational safety AI, shared intelligence, synergistic collaboration
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Human Fallibility Meets System Design: Strategies for a Safer, Smarter Workplace
Prelude While reviewing past presentations, I came across a human factors course I taught for BLR in a webinar a few years ago. It was an exciting opportunity, as human factors is an area I consider essential for creating safer … Continue reading
Posted in AI, Artificial Intelligence, Design for Safety
Tagged AI, AI in Human Error Reduction, Artificial Intelligence, Aviation Safety Lessons, Error Prevention in Complex Systems, Human Error Reduction, Human Factors Analysis and Classification System (HFACS), Human Factors in Safety, Human Performance Improvement (HPI), human-factors, human-performance-improvement, Industrial Safety in Chemical Manufacturing, Organizational Safety Culture, Workplace Safety Strategies
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AI as a Strategic Partner: Building a Digital Twin to Advance Safety and Sustainability
Introduction The challenges of leading Environmental, Health, and Safety (EHS) efforts across global, high-risk operations have never been more intense. Executive leaders today are asked to navigate volatile regulations, emerging technologies, ESG mandates, cultural transformation, and shifting workforce expectations—all while … Continue reading
Posted in Uncategorized
Tagged #DigitalTwin #EHSLeadership #SafetyLeadership #ExecutiveLeadership #AIinEHS #SustainabilityLeadership #FutureOfWork #StrategicInnovation #ArtificialIntelligence #LeadershipTransformation, AI, Artificial Intelligence, business, Digital Twin, EHS, Executive Leadership, Leadership, technology
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Safe to Fail: How Digital Twins Can Rewire Workplace Trust
Digital twin technology—virtual representations of physical systems or processes—can significantly enhance psychological safety in the workplace by providing environments where employees feel secure to speak up, experiment, and make mistakes without fear of negative consequences. These virtual environments enable organizations … Continue reading
Posted in Uncategorized
Tagged AI, Artificial Intelligence, business, Leadership, psychological-safety, technology
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