Infrastructure systems are a complex system of assets required to deliver multiple services and functions.  As operating and capital fiscal constraints for the development and rehabilitation of new and existing systems are under continuous pressure; and repeated retrofitting to address the impacts of natural hazard, extreme weather, and future climate risk continue to disrupt financial resource management; new and novel approaches are paramount.

 

A myriad of tools to advance these realities are available, but how to harness them, where to implement them, and who has operational ownership of them is key to successful risk mitigation.  Resilience AI Partners assists with these decision-making processes and can help model infrastructure assets over there whole life cycle with consideration for minimizing cost while preserving or improving the risk condition conversation.  

 

Resilience AI Partners offers four areas of advisory assistance:

 

(1) Develop lifecycle planning methods that consider the effects of natural hazard, extreme weather conditions, and future climatic impacts on operations and assets

 

(2) Establish analytical procedures that provide a risk-based approach for identifying assets and locations with a high likelihood of being impacted

 

(3) Develop a flexible, scalable, asset management, life cycle, risk-based approach to managing and mitigating natural hazard, extreme weather, and future atmospheric and climatic impacts

 

(4) Identify actions to improve overall infrastructure resilience linkages, performance, and return on investment clarity, especially for the most vulnerable assets or classes of assets

 

Executed through five levels of effort:

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1) Desktop Assessments – develop baseline inventory and risk profiles for operations or assets locally, regionally, nationally, globally

 

2) Root Cause Analysis – program building as it relates to the need, source issue, and inventory specific assets and locations against known and unknown natural hazard and extreme weather

 

3) Probabilistic Risk Modeling - advanced probabilistic engineering analysis not previously developed.  Especially as it relates to the highest cost – highest priority assets, the option to specify cost effective solutions and actions for a full science and engineering risk-informed assessment.  In addition, the ability to custom fit hundreds of risk scenarios

 

4) Climate models and downscaling - incorporate future precipitation and heat projection.  AI Partners is uniquely positioned to have actually implemented climate projection modeling into heavy civil infrastructure design and construction

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5) Artificial Intelligence – We have skill sets to use AI to sort and synthesize large volumes of data, foundationalize hard assets, and develop large volume risk runs using complex engineering and asset information.  In addition, we can visit developing AI agents for proprietary use.