Want the evidence before we talk?

Sixteen free PDFs from Insight Risk Systems: think pieces by Dr. Lianne Lefsrud, case studies from real engagements, and one-page guides to the tools behind risk-based prioritization. Read them, share them, and bring your questions to a discovery call.

Where should you start?

Start with your problem, not the format.

If your question is…Start with
How do I prove risk management is worth the money?What is the value of risk management? · Why has the value of risk management been so difficult to measure? · What Is the Business Case for Safety?
Why do we have so many metrics and so little warning?Using Key Risk Indicators (KRIs) to Navigate Performance Metrics · What Is a Leading Indicator Anyway?
Are our critical controls still holding?The Hidden Risk · Expanding Critical Controls with Additional Layers · Using Bowties
Why can’t we see across our systems and sites?Visualizing Risk Precursors · What Is Data Fusion? · Processing Your Existing Data
Why aren’t hazards being reported?Where does fear flourish in organizations?
How do we de-risk a new technology or energy project?De-Risking New Technologies with Quantitative Risk Assessment and Techno-Economic Analysis
What would AI and machine learning actually do with our data?What Is Artificial Intelligence (AI)? · What Is Machine Learning (ML)? · What Is Data Fusion?
What happens if we call you?What to Expect from Day One

Think pieces by Dr. Lianne Lefsrud

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Why effective risk management is an effortful non-event, and the evidence that it pays.

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Four steps to getting full value from risk management, with a Bayesian network case.

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How to tie key risk indicators to your major hazards, and declutter the rest.

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Why hazards go unreported, and how fear creates operational blind spots.

Case studies and service briefs

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Bayesian networks that rank incident precursors, from more than 11,000 records.

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The hierarchy of controls, expanded with three design frameworks, plus an oil and gas case.

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How an engagement starts: shared language, a cold-eyes review and three questions.

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How patented GapFinder analytics find where human and organizational factors erode controls.

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Quantitative risk assessment and techno-economic analysis for a new healthcare campus.

Guides and primers

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How bowtie diagrams map high-energy hazards and the controls that stop them.

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What leading indicators are, what makes a good one, and why so few companies use them.

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The business case for safety on one page: losses avoided and performance gained.

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How your existing incident, procedure and survey data becomes insight.

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Natural language processing, computer vision and robotics, explained for safety leaders.

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How joining surveys, inspections, incidents and sensors reveals hidden leading indicators.

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How decision trees and Bayesian networks learn from incident, maintenance and inspection data.