AI on the Front Line: Troubleshooting Field Service with AI at TransLogic
When experienced field service technicians retire, they take decades of troubleshooting knowledge with them. For teams managing complex equipment in healthcare settings, that is not just an inconvenience, it is an operational risk.
Field Service Supervisor Kevin Williams at TransLogic, a Swisslog Healthcare Company, knows this firsthand. His team maintains computerized pneumatic tube systems across hospitals throughout North America, where downtime directly affects patient care. In this Q&A, Kevin shares how AI is helping his team capture institutional knowledge, reduce troubleshooting time, and keep service quality consistent regardless of how long a technician has been on the job.
Part of a series on how TransLogic transformed service with AI. Read the full story: What Happens When Kevin Leaves?
Q: Can you provide an overview of your role?
Kevin Williams: Yes, I'm a Field Service Supervisor at TransLogic. We maintain, install, and service pneumatic tube systems in hospitals and other healthcare settings. It's an interesting role because it's not really a 9-to-5 job. It's more about when the system needs work or is available.
Q: What’s the most satisfying part of the work you do?
Kevin Williams: The most satisfying part is knowing we play a small role in ensuring people get the care they need. We're in the background, but we get that satisfaction of fixing something critical. There's nobody else in the entire area that could handle it, but we show up no matter the time, day or night, and get it done.
Hospitals are incredibly grateful, and it’s rewarding to know that medications or blood samples are delivered faster because of what we do. It feels like we’re making a difference.
"No matter how experienced the technician is, you can come up with the answer in N7 so much faster than it would be to call tech support. It doesn’t matter if you’ve been here 20 years, 10 years, or two years—it can be a useful tool."
Q: And what are the challenges you face as a supervisor?
Kevin Williams: We’re having a lot of techs with 30 or 40 years of experience retiring, and we’re losing a lot of knowledge as a result. A lot of the institutional knowledge just isn’t written down.
The problem is, troubleshooting is often a matter of, “call Kevin; he’s dealt with that before.” But what happens when Kevin isn’t here anymore?
That’s where Neuron7 comes in. We’re using it to capture and organize all the troubleshooting knowledge in one spot.
Q: What were your initial expectations for bringing in an AI tool like Neuron7?
Kevin Williams: Initially, I thought it would be mainly for new technicians to quickly learn the basics, and then they’d outgrow it. But it’s become much more useful, even for senior technicians.
No matter how experienced the technician is, you can come up with the answer in N7 so much faster than it would be to call tech support. It doesn’t matter if you’ve been here 20 years, 10 years, or two years, it can be a useful tool.
Q: What is impacts from using Neuron7 have you experienced?
Kevin Williams: It’s drastically cutting down the time it takes to troubleshoot, and the expectation is now that a solution is already in Neuron7.
So when someone faces the same issue other technicians saw across the country, it doesn’t matter who the it was that solved it previously—they can input the symptoms into Neuron7 and get statistically-backed solutions based on past cases.
Q: For those hesitant to adopt AI tools, what advice would you give?
Kevin Williams: I think if you’re already thinking about AI, pull the trigger and definitely go for it, because I think it can be helpful for most organizations. But also dedicate the time and resources to mold it into the tool you want. Once you do, the AI tool will do what AI is supposed to do. Learn with you, grow with your organization, and provide the answers that can help your team fix your equipment faster and spend less time on the phone.
Ready to solve your knowledge problem?
When your best technicians leave, the knowledge they carry becomes your biggest liability. See how TransLogic solved it before it became a crisis and start building your own AI roadmap with the AI Strategy Resource Center.
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Frequently asked questions
Neuron7 differs from other AI tools for service by building a Service Expertise Graph from actual case history rather than searching documents and surfacing suggestions. Resolution guidance is deterministic and grounded in fixes your team has already performed. Neuron7 also predicts failures before they happen and improves with every case closed.
No. Neuron7 does not replace existing CRM or ticketing systems like Salesforce, ServiceNow, or SAP. Instead, it operates as a resolution intelligence layer on top of those systems, adding service expertise and resolution intelligence that those platforms do not natively provide.
Neuron7 deployment typically takes weeks, not months. Most customers are running pilots within weeks of kickoff, starting with the highest-volume product lines and failure patterns before expanding across the installed base.
Neuron7 connects to existing systems through direct integrations with Salesforce, ServiceNow, SAP, Microsoft, and most major CRM and FSM platforms. Pre-built connectors require no custom development and no IT project. Technicians and agents continue working in the tools they already use, with Neuron7 surfacing guidance in their existing workflow.
Neuron7 is purpose-built for Fortune 1000 enterprises that manage complex technical equipment at scale. This includes medical devices, high-tech manufacturing, industrial systems, payment technology, and telecom organizations. Most customers have 1,000 or more service technicians operating across multiple regions or product lines.
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