Whether you work in offshore oil and gas, renewables, power plants, or another aspect of the energy industry – when it comes to asset integrity management, there’s a lot on the line. The decisions you make now can fuel or fail our planet, and it all comes down to having the right tools in place and real-time data you can trust.

Every mistake – every oversight – can lead to wasted energy resources and impact the environment, your team’s safety, and the business’s bottom line. When dealing with asset integrity, you can’t afford to be inefficient.

The problem

Fabricated heavy industry assets are exposed to a myriad of changes throughout their lifecycle that affect their performance. These assets require regular monitoring and intervention. But are we – integrity professionals, asset owners, builders and designers – failing to optimally manage the integrity of such assets?

Integrity management can feel like an uphill battle. It requires looking at the entire lifecycle of an asset from start to finish, and taking a holistic approach to long-term, sustainable solutions.

When analyzing an asset’s integrity, you must be able to see the full picture, from concept design to the end-of-life phases, and every aspect of standards and procedures in place must meet or exceed expectations. Such all-encompassing visibility can be challenging when working with decentralized information, unclear data, and inefficient processes.

At the root of every asset integrity-related problem are missed inspections and repairs, ineffective intervention methods, unqualified personnel, or miscommunication between departments.

The conventional approach

Up until recently, having assurance of asset integrity meant more management layers, auditors, man hours, and site presence – exhausting our people and resources in an effort to eliminate human error, all while working in outdated systems. However, we’ve seen this approach prove to be not only ineffective, but inefficient, generating unnecessary environmental and financial waste.

Visibility, functionality, and safety are key when it comes to managing asset integrity, but accurate monitoring should not come at the cost of productivity and efficiency.

In the age of digital transformation, where energy and technology collide, we’ve discovered that there’s a better way.

The AiFlux solution

Imagine a simple, intuitive technology that could help you improve efficiency, eliminate waste, and confidently power our planet. AiSquared, artificial intelligence software developed by AiFlux, is a platform designed not to replace your employees, but rather to equip and empower them to do their work more efficiently – providing them with real-time data and the tools they need to confidently guide their teams and your company toward the safest, most energy-efficient solutions.

This cloud-based platform gives you complete, real-time visibility into your heavy assets – from conceptualization and installation through operations, modification and late stage – allowing you to manage asset integrity with confidence.

Our simplified, traceable, interactive process removes room for human error and subjectivity and replaces it with reliable, verified outcomes that generate game-changing insights.

A simple, intuitive framework you can trust

Through our AiSquared platform, you will have access any time, anywhere, to a 360 degree view of each of your assets to ensure that they are up-to-date on certifications, compliance, and efficiency for more sustainable, trusted heavy assets that are built to last.

Step 1: We start by creating an accurate and structured digital footprint of the asset(s) in a format that is flexible but compliant with industry standards – the digital passport. Our data model is built according to industry standards, ISO, CFIHOS, and API, which are tried, tested, and widely used for data models and libraries.  

Step 2: Next, we identify the most critical components in order to focus our risk management strategy on those which represent highest risk exposure to the business, and we use a portfolio of KPIs to identify any asset management shortcomings

Step 3: We then manage the process of intervention (inspection, root cause analysis, reliability checks, and more) by bringing all stakeholders to one centralized place to access the latest, most accurate information, and producing results in standardized formats that allow data extraction. 

Step 4: Finally, we use the findings from the assessment and intervention strategies (outcomes) to generate analytics and insights that will inform our future intervention, update our Digital Passport, and create a feedback loop of continuous improvement.  

Our goal is to use machine learning algorithms to provide meaningful feedback and insights on the issues that matter most to your company. As an added bonus, we transform siloed users into a learning cell that accumulates and disseminates knowledge as needed. Root cause analysis of any issues we encounter is fed back into the intervention model to revise intervention strategies, to ensure timely follow-up, real-time assessment of risk, and preservation of this vital knowledge and the lessons learned.

Conservative, conventional methods served their purpose for a time, but are now obsolete. The future depends on our ability to be efficient, and when it comes to the integrity of our assets there is no time to waste. Stop spending time on manual processes and outdated solutions and take control of your future with AiSquared – simple, intuitive technology you can trust, built by energy leaders, for energy leaders.

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