Running a field service organization comes with its fair share of challenges. From onboarding new technicians in an increasingly complex environment to managing the loss of critical knowledge as experienced workers retire, service leaders everywhere are feeling the strain.
But the introduction of AI into field service is changing the landscape. Generative AI (Gen AI) offers a solution by empowering teams with tools to help tackle these issues head-on.
We’ll look at four key challenges the field service industry faces and how AI can help solve them.
Getting new technicians up to speed is a challenge in any industry, but it’s especially difficult in field service. As products become more complex, the gap between what new technicians know and what they need to know to handle those products widens.
Onboarding isn’t just about training someone on the basics anymore; it’s about filling in that knowledge gap quickly so they can be effective in the field. The problem is, training takes time, and in a busy environment, many teams lack time.
This is where Gen AI comes in.
If you’re in field service, you’ve probably felt the squeeze from both ends. On one hand, experienced technicians are retiring faster, taking years of valuable knowledge with them. On the other hand, finding new technicians to replace them isn’t getting any easier. This combination is creating a significant workforce shortage, leaving companies scrambling to fill the gap.
When senior technicians leave, it’s not just about losing a pair of hands. It’s the tribal knowledge they take with them—the little tricks they’ve picked up over the years, the instinct for troubleshooting, and the ability to make judgment calls that only come with years of experience.
This creates an even bigger challenge for manufacturing companies: losing experts who know how to troubleshoot complex equipment and systems.
Then there’s the hiring challenge. Even when you find new technicians, it’s rare that they walk in the door fully prepared for the increasingly complex demands of modern field service. This shortage puts more pressure on the remaining team members and makes it harder to maintain service quality.
AI can’t hire new staff for you, but it can help make the ones you have more efficient.
Technicians spend a lot of their day just trying to find the right information. Whether it's flipping between apps, searching through manuals, or tracking down service records, it can feel like searching for a needle in a haystack. In manufacturing, where every second of unplanned downtime impacts production, these delays become more than an inconvenience—they cost money.
Bad fixes, longer repair times, and sometimes having to call in more experienced technicians for help are all too common. Even simple issues can get dragged out if the right information isn’t available. Technicians end up wasting valuable time digging through scattered resources when they should be focused on the repair itself.
AI simplifies the process and eliminates the frustration of hunting for information.
Making multiple visits to fix the same problem frustrates both the technician and the customer. It’s costly, time-consuming, and damages your customer relationships. In manufacturing, it also means extended equipment downtime, which can disrupt production schedules and result in significant financial losses.
Part of the problem is that technicians aren’t always equipped with the right parts or the right knowledge to get the job done on the first visit.
First-time fix rates (FTFR)—the percentage of service calls resolved during the first visit—suffer when the initial diagnosis is incorrect. This can lead to the wrong technician being sent out or arriving with the wrong parts. This kind of misstep adds to delays, disrupts schedules, and lowers your FTFR.
Add to that the frustration of technicians not having immediate access to critical data—like manuals, troubleshooting guides, or past service records—and the likelihood of a quick resolution drops even further.
AI makes sure technicians are better prepared and can handle repairs more efficiently by offering several key advantages.
Gen AI has become a powerful tool in overcoming field service management challenges, from speeding up onboarding to improving first-time fix rates.
Circuitry.ai's Service AIdvisor brings these AI-driven benefits directly to your teams, providing answers, guidance, and recommendations to reduce downtime and stay productive. Service AIdvisor is available in multiple channels, multiple languages, and voice modes to support your diverse workforce globally. Plus, the Expert Answers feature captures the insights of retiring technicians, ensuring that your team continues to benefit from their experience long after they’ve left.