Should every tool bag have an AI Copilot?

Three years ago, Forrester predicted in their article “From Grease to Code” that “to survive”, industrial firms must move faster, deliver new value to new stakeholders, and respond to the shifting expectations of both their customers and their customers’ customers.’

Manufacturers and machine builders are facing considerable headwinds in 2024, such as the inevitable skills fade impacting many service businesses, ageing workforces with valuable knowledge just walking out the door and gone forever, as well as increasing demands from their customers for increased efficiencies and productivity, the added volatility in their global supply chains coupled with economic challenges such as higher cost of borrowing and inflationary pressures, all leading to a major headache for some businesses. We at Field Service Associates are seeing manufacturing and machine builders starting to respond to these demands by innovating and embracing digital Artificial intelligence (AI) co-pilots and machine learning to address the paradigm shifts required to compete in today’s complex world. 

So, what is a digital co-pilot? Effectively, it’s an AI tool that supports a physical worker to carry out their tasks most efficiently by leveraging data about the machine, its operational environment, how the customer is using the asset in its operating environment, what has transpired historically on the product, the products manuals, handbooks/logbooks, all the knowledge articles ever produced on the machine, all of the collective knowledge sat in their vast engineering workforce, data from R&D, operational guidelines specific to that particular asset on that particular functional site; I could go on but you get the picture. Co-pilots are already a complete game changer, and they have already become the primary tool in the armoury of countering the incredible exterior forces bearing down on manufacturers and machine builders to compete aggressively with a value proposition for driving customer loyalty and profitability through innovation…

Companies have been battling to solve the predictive over prescriptive servicing techniques utilising IoT or leveraging their field service management system with static reports that they hope will decipher historical data and try to predict future requirements. Paradoxically, these approaches rely on human intervention to interpret the data, and this can often lead to flawed and inconsistent results as it’s impossible to process so many inputs into valuable insights…

AI co-pilots are already dominating how we work every day, so to embrace the technology, let’s ask ChatGPT how it believes AI co-pilots will support manufacturers and machine builders…

Here is what ChatGPT stated….

The use of AI co-pilots in manufacturing and machine-building industries can be particularly beneficial for the following reasons:

Optimisation of Manufacturing Processes: AI co-pilots can analyse production data in real-time, identifying inefficiencies and suggesting optimisations. This can lead to a more streamlined manufacturing process, reducing waste and increasing productivity.

Predictive Maintenance: AI co-pilots can monitor the condition of machinery and predict when maintenance is needed. This proactive approach can prevent unexpected downtime, save costs, and maintain continuous production.

Enhanced Quality Control: By analysing data from production lines, AI co-pilots can detect anomalies or deviations in product quality. This allows for immediate corrective actions, ensuring high-quality output consistently.

Supply Chain Management: AI co-pilots can optimise supply chain operations by forecasting demand, managing inventory, and suggesting the best routes for logistics. This leads to a more efficient supply chain, reducing costs and improving delivery times.

Safety and Compliance: In manufacturing environments, safety is paramount. AI co-pilots can monitor workplace conditions and ensure safety standards and regulations compliance. This helps maintain a safe work environment and reduces the risk of costly legal and regulatory issues.

By implementing AI co-pilots, manufacturers and machine builders can achieve greater efficiency, predictive maintenance, improved quality control, optimised supply chain management, and enhanced safety and compliance. These benefits contribute to a more productive, cost-effective, and sustainable operation.

Change is inevitable and will always happen, but you must apply direction to change, and that’s when it progresses. AI co-pilots will be absolutely within the fabric of how service companies conduct their businesses in the future. The question is, are you going to lead this trend or follow a competitor who has already embraced the change and is delivering tangible results to your detriment….