Every manufacturer knows the story: a technician on site can’t find the right repair steps, a part gets misidentified, or a warranty claim sits waiting for review. Meanwhile, customers wait, downtime grows costly, and your best experts spend their time fixing process gaps instead of solving real problems.
In our latest webinar, “Autonomous Service Journeys Using the TRACK Framework.” Josh Russell, VP of Products, and Dhruv Desai, Presales Solutions Consultant at Circuitry.ai, were joined by Mark Hessinger, Global Services Business Advisor, to share a practical way forward.
Because in service, AI is applied to amplify people, not replace them, helping your teams make smarter decisions, faster, across every point of the service lifecycle.
You can watch the full webinar here.
Here are five takeaways from the webinar and why they matter.
Every manufacturer has the same hesitation: “Our data isn’t ready.” Manuals are in PDFs, bulletins live in SharePoint, and warranty claims sit in a separate system altogether.
Josh’s message was clear: “There's no need to wait to try to perfect that. We're using AI to clean up a lot of that metadata to clean up that taxonomy. When we load that and ingest that we get a lot of information just by taking that raw content.”
Circuitry.ai’s platform works with your data as it is. Whether structured or unstructured, or scattered, the AI organizes, understands, and applies it. That means your teams can start seeing value immediately, without waiting for data cleanup projects or reformatting efforts.
Equally important, Circuitry.ai’s approach doesn’t require rearchitecting your operations.
“You can continue to use your existing call management system, your warranty management system. This layer that we provide from Circuitry is simply an intelligent layer on top of those.” Josh explained.
Instead of replacing the systems you’re already using, Circuitry.ai layers Decision Intelligence on top of them, connecting to your current service, warranty, and parts systems to make the information within them more accessible and actionable.
Where do you start when everything feels like a priority?
The TRACK Framework answers that question. It provides a clear, practical path to building Autonomous Service Journeys, end to end workflows powered by AI workers that sense problems early, interpret context, decide the next best action, and act.
TRACK is a practical, five-step method developed by Circuitry.ai to help manufacturers deploy AI in a way that’s aligned with measurable business value.
Because TRACK encourages small, contained pilots, it creates progress you can build on. You start with one high-value use case, prove it works, and expand with confidence. From there, scaling is a natural next step. Regional rollouts and enterprise deployments happen in a structured, repeatable way that builds credibility across the organization.
During the demo, Dhruv showed what it means to put specialized AI workers to work across the entire service ecosystem. Each Advisor, Analyst, and Agent contributes distinct expertise, and together, they form a coordinated layer of intelligence that powers decision-making across service, parts, and warranty.
The Service Advisor provides instant, guided support for technicians, delivering step-by-step repair instructions drawn from technical manuals, bulletins, and historical data. The Parts Advisor streamlines identification and ordering by interpreting diagrams, catalogs, and supplier data to pinpoint the correct part the first time.
Meanwhile, the Claim Score Agent evaluates and scores claim submissions in real time.
Dhruv also demonstrated how these AI workers come together inside our PAL extension to automate tasks and provide instant answers right in your team’s workflows. The PAL extension can be embedded in any system your team already uses, like a CRM, PLM, ERP, or dealer portal.
“This kind of unified workspace means fewer errors, higher productivity, and faster handling times, but more importantly, it creates a simple source of truth. So everyone across your service, parts, or warranty is able to work off of the same data.” Dhruv noted.
One of the most powerful messages from Mark was also one of the simplest: you don’t have to do everything at once.
Too many digital transformation projects stall because teams aim for perfection, trying to overhaul entire workflows or connect every system before showing results. The TRACK framework flips that thinking.
Mark described it as: focus on one high-value journey, prove the ROI, then build on that success. Maybe you start with call deflection in your service center or automating claim scoring in your warranty department. Once that process shows measurable impact, faster response times, lower leakage, higher accuracy, it becomes the blueprint for the next win.
Each small, validated success strengthens your internal case for change. Your technicians start trusting the AI’s answers. Your managers see time savings reflected in the numbers. Your leadership sees ROI in weeks, not quarters. That momentum fuels the next phase.
Toward the end, Josh and Mark addressed the question many had in mind: What makes this different from using a generic AI assistant?
While many AI initiatives stem from teams retrofitting intelligence onto existing systems, Circuitry.ai was designed from the ground up for manufacturers. Our team brings decades of combined domain experience focused specifically on service, parts, and warranty operations. That deep domain focus means faster deployment and higher accuracy.
Circuitry.ai’s approach is anchored in Decision Intelligence, a unifying layer that orchestrates autonomous service journeys across service, parts, warranty, and product operations. Each AI worker contributes to a connected process that improves KPIs like first-time fix rates, product uptime, or technician productivity, while reducing operational costs and inefficiencies.
As Mark said, “You'll only get so far with something generic. The way this is built, it knows about a service business; it's designed to work in service flows, so you will save a lot of time and get a lot more value by having something that's purpose-built.”
Every manufacturer is under pressure to do more with less. Autonomous Service Journeys, powered by AI workers, turn service from reactive to proactive. The TRACK Framework makes that journey practical. It helps you start small, prove value quickly, and scale what works. Schedule a custom TRACK session with Circuitry.ai to identify your high-value journey, define measurable ROI, and watch how fast the pieces connect.