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01 Apr 2025

Risk Register Quality Assessment

Libero AI Stand: G10
  • Risk Register Quality Assessment
  • Risk Register Quality Assessment
  • Risk Register Quality Assessment
Risk Register Quality Assessment Risk Register Quality Assessment Risk Register Quality Assessment

Your Risk Register is a compelling tool used by your business to identify risks, their potential impacts, and controls that mitigate them.

But what if the risks you are managing are not the risks your people are actually experiencing in the field? How do you identify existing and emerging risks that you’ve not planned for?

Our AI-driven assessment of your risk register can precisely align managed risks with those experienced in the field by using robust data capture and the Causal Network Topology Analysis (CaNeTA), developed at The University of Queensland.

Embedded into your operations to leverage all appropriate data, this automated, robust and scalable AI solution quickly reveals existing and emerging threats, enabling proactive and adaptive risk management strategies.

Once the data is harnessed your organisation can easily review, capture and prioritise risks confidently and ensure safety management systems are resilient, adaptive and aligned with business objectives.

Our proven methodology, rooted in comprehensive data gathering, transformation, integration and organisation, converts disparate information into actionable insights. The result for your organisation is a more resilient safety culture, higher operational efficiency, and improved compliance - all built upon a foundation of continuous learning and improvement. 

Our proven methodology, rooted in comprehensive data gathering, transformation, integration and organisation, converts disparate information into actionable insights. The result for your organisation is a more resilient safety culture, higher operational efficiency, and improved compliance - all built upon a foundation of continuous learning and improvement.

Collect

We begin by harnessing all the relevant data and information needed for the risk analysis.

  • Identify data sources

  • Engage stakeholders

  • Prepare data formats

  • Outcomes:

    • A comprehensive dataset: risk, incident, and observation data.

    • List of stakeholder requirements

Integrate

Once harnessed, the data is then organised into a format that allows for effective causal analysis

  • Data Cleaning and Transformation:

  • Identify Gaps in Data:

  • Outcomes:

    • Integrated dataset

    • Mapped data relationships

Analyse

Using CaNeTA, a causal network is developed by mapping out cause-and-effect relationships within the data.

  • Identify causal relationships

  • Map causal networks

  • Assess control effectiveness

  • Outcomes:

    • Causal network diagram

    • Risk prioritisation based on causal pathways.

    • Control effectiveness assessment.

Report

The findings of the CaNeTA analysis are reported back to stakeholders with insights that are actionable and contribute to the decision-making process.

  • Reporting

  • Stakeholder engagement

  • Action plan development

  • Outcomes:

    • Key findings of the causal analysis

    • Visualisations of risk and relationships

    • Recommendations and action plan

Monitor & Refinement

After the initial assessment, we can help monitor implementation of recommendations, evaluate their effectiveness, and provide updates on the risk mitigation progress as well as modifications to the causal network as new data or incidents arise.

This phase is essential to ensure the risk register is always evolving and reflects the latest risk insights.

Contact Libero AI to get started and gain a forward-thinking partner dedicated to enhancing your business performance, strengthening your compliance, and delivering tangible results.

 

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