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Risk Management in Capital Projects with Omega 365: Recommended Practices

Risk Management in Capital Projects with Omega 365: Recommended Practices

Risk management in capital projects is vital for success. Using global standars, and Omega 365, it involves planning, identifying, analyzing, responding, and monitoring risks. Omega 365 enhances this with tools like AI-powered identification of risks and mitigating mesaures, Monte Carlo simulations, risk registers, and live dashboards. It supports early risk identification, structured assessments, and actionable responses. Continuous learning, addressing both threats and opportunities.
Johnny Vik
Johnny Vik
Using Omega 365 AI Assistance to Improve Risk Management

Using Omega 365 AI Assistance to Improve Risk Management

Omega 365 AI Assistance enhances risk management by identifying risks across datasets, assessing risks with structured suggestions, and improving risk register quality. Knowledge Packs provide tailored AI support while ensuring data security and user control.
Johnny Vik
Johnny Vik
Introducing Set Target – Define Desired Risk Levels Clearly

Introducing Set Target – Define Desired Risk Levels Clearly

A new feature in Risk Management allows teams to set target risk levels, defining desired post-treatment risks. Targets are displayed in the matrix for clear comparison with current risks, aiding structured risk management per standards like ISO 31000. Risk Managers can set, update, or delete targets, visible as "T" in the matrix. Practical uses include tracking strategic, operational, and project risks. The feature launches in early August, enhancing risk reviews and decision-making.
Johnny Vik
Johnny Vik
AI-Powered Risk & Mitigation Management

AI-Powered Risk & Mitigation Management

AI-powered tools enhance risk management by identifying, registering, and mitigating risks. Users can engage in AI-driven conversations to refine insights, generate risk suggestions, and define mitigation measures.
Using Monte Carlo simulation in Risk

Using Monte Carlo simulation in Risk

Monte Carlo simulation is a mathematical technique that uses random sampling to estimate the probability of various outcomes in a process that’s uncertain or unpredictable, and if often used in Risk Management to provide valuable insight into the projects risk exposure.
Johnny Vik
Johnny Vik

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