AI case study

Libero AISafety risk management

Static registers missed triggers like unsecured loads. AI mapped risk pathways, raising control testing efficacy from 65% to 100%.

Published|1 month ago

Key results

Testing Efficacy
100%
Inspection Increase
4.7%

Result highlights

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The story

Context

Australia’s most diverse drilling company operates over 80 rigs and 750 employees across 35 projects in high-risk mining environments.

Challenge

Leadership struggled to determine if near misses resulted from robust controls or simply luck, with existing protocols achieving only a 65% control...

Solution
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Use case

Libero AI's Safety risk management is part of this use case:

Compliance Review
62 case studies(+188% YoY)
Proven impact?
3.8Moderate
LowModerateStrongVery Strong3.8
4.7Moderatewithin Energy & Utilities
2.8Lowwithin Legal & Compliance

The company

AI platform for safety, maintenance, and operations in heavy industry.

IndustryEnergy & Utilities
LocationBrisbane, QLD, Australia
Employees1-10
Founded2023

The vendor

Enterprise technology and consulting for cloud computing, AI, and business solutions.

IndustryTechnology
LocationArmonk, New York, United States
Employees100K+
Founded1911

The implementation partner

Queensland Aphasia Research Centre logo

Queensland Aphasia Research Centre

uq.edu.au
Role in this case study

Helped Libero AI implement the CaNeTA method for Mitchell Services' safety performance analysis

IndustryEducation & Training
LocationBrisbane, QLD, Australia
Employees11-50
Founded2019

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