From construction to agriculture, field operations play a crucial role in many industries and are essential for ensuring that projects and tasks are completed on time, within budget, and to the required quality standards. Additionally, their core business operations require  careful planning, efficient execution, and the ability to adapt to changing circumstances. However, with the increasing complexity of modern operations and advancement of technologies, many field op businesses are undergoing a profound transformation and are struggling to keep up as they seek to improve efficiency, accuracy, and productivity. This is where hyperautomation steps in.

Hyperautomation refers to the integration of advanced technologies, including artificial intelligence (AI) and machine learning (ML), to automate processes and workflows. This smart technology is being used to streamline various tasks, from data analysis and decision-making to field inspection and maintenance, with the end goal to automate as much of a task as possible while allowing human workers to focus on other jobs that require creativity, judgment, and emotional intelligence.

A quick snapshot of the advantages to using hyperautomation in field operations.

In the construction sector, for example, hyperautomation is being used to improve the accuracy of site surveys, reduce the time and cost of project planning, and streamline communication between contractors and other stakeholders. With the help of advanced technology, construction companies can complete projects more quickly and with fewer errors, yielding to an increased profitability and better customer satisfaction.

In the oil and gas industry, hyperautomation is monitoring equipment and pipelines, detecting and predicting maintenance issues, and improving safety and environmental performance. With the ability to automatically detect and respond to potential problems, oil and gas companies can now quickly reduce the risk of accidents and minimize the impact of any spills by using hyperautomation.

In agriculture, hyperautomation is being used to improve productivity and sustainability and helping farmers to manage their crops more effectively by providing real-time data on soil moisture, temperature, and other key factors while also automating manual tasks. The data can then be used to optimize irrigation, fertilization, and pest control practices, leading to improved yields, reduced waste, and lower costs.

Hyperautomation is also having a significant impact in the discrete manufacturing industry, where it is being used to improve efficiency and reduce waste. By automating manual tasks and integrating AI and machine learning algorithms, manufacturers can streamline their operations, reduce downtime, and improve product quality. For example, hyperautomation can be used to automate the production line, including tasks such as material handling, quality control, and assembly. By leveraging the power of hyperautomation, manufacturers can optimize production processes, reduce errors, and improve efficiency, leading to increased profits and a competitive edge in the marketplace. Additionally, hyperautomation technologies such as predictive maintenance and real-time monitoring systems can help manufacturers to identify and address problems before they become critical, reducing downtime and ensuring maximum uptime for their equipment. More on this can be discovered from this business case for discrete manufacturers.

Hyperautomation is also making its mark in the telecommunications industry, where it is being used to streamline network management and improve customer service. With the capability to quickly analyze large amounts of data, telecom companies can improve network performance and respond more quickly to customer needs, resulting in increased customer satisfaction and loyalty.

The importance of also being proactive in field services is stressed in “Here’s How Your Field Service Team Can Fix Problems Before They Happen,” where author Yung Chen, Director of Product Management, Salesforce Field Service discusses having a proactive mindset to a field service strategy versus reactive to obtain the highest ROI in extending the lifespan of assets, being more efficient in customer service, reducing operating costs, and more.

Provisioning is also key in proactive asset management and in optimizing field operations. More specifically, when connecting IoT/OT infrastructure to Salesforce and how you will need to identify the relationship between assets in both domains Here is a quick demo as to how Waylay’s Digital Twin plays a critical role. 

In another article, “7 ways to Improve Field Service with IIoT Asset Visibility,” IoT software entrepreneur Piet Vandaele discusses how without the implementation of IoT-based asset monitoring, field service technicians faced multiple challenges caused by untraceable malfunctions and incorrect diagnoses, leading to high repair costs, unnecessary on-site visits, and poor customer service. Vandaele also shares ways to prevent and  resolve. But with IIoT asset visibility, businesses are elevated to a higher level of field service excellence, enabling domain specialists to effectively manage their assets, plan interventions more efficiently, or even eliminate them altogether.

The future of hyperautomation in field operations is bright as we can expect to see even more dramatic improvements with its continued use. It is revolutionizing the field of operations, improving efficiencies, accuracies, and productivities in a range of industries. Hence, whether you are in construction, oil and gas, telecommunications or another field operation business, the use of hyperautomation is helping businesses to grow and succeed in a rapidly changing world.