Boost Your Safety Culture

With AI Enhanced Observations

Turn individually important observation data into collectively compelling insights to improve process and behavioural safety

The Context

Insights are Hidden in Observation Data

What is Observation Data?

Observations are raw, rich and timely descriptions of human behaviours and plant conditions.

Why are we interested in Observation Data?

Health and Safety Observations are the voice of frontline workers. They have a better view of a facility than anyone else.

What usually happens with Observation Data?

Observations are often disregarded once actioned. Analysis is limited to basic metrics and trends.

The challenging cycle of safety observations

Effectively capturing observations, analysing hazards, and implementing corrective actions can be onerous and time consuming.

Without regular feedback to those submitting observations, the workforce may become disengaged with the process, resulting in quality and quantity of observations decreasing overtime.

Categorising this data and identifying meaningful trends can be complex, meaning opportunities to systematically improve safety are easily missed.

The Solution

Observations: Individually Interesting, Collectively Compelling

Observations can refer to either human performance or hardware integrity. These categories align with the two barrier types defined by IOGP 544: “Standardization of barrier definitions”.

By categorising observations to human and hardware barriers, Boost automatically transforms individual observations into collective insights.

Boost equips Process Safety professionals with leading indicators of safety culture and plant integrity.