Enterprise AI
Four Key Take aways from Impact24 by Tech Talk Summit
Circuitry.AI CEO, Ashok Kartham, shares his top four takeaways from the recent Impact24 event hosted by Tech Talk Summit.
On the inService Podcast, Circuitry.ai and Service Council share how AI is reshaping warranty, cutting claim cycles, and strengthening relationships.
Warranty and service contracts are a major pain point for manufacturers of complex, high-value equipment. Legacy systems can’t keep up—but AI is transforming how claims are managed, decisions are made, and relationships are built.
We had the chance to join Service Council on the inService Podcast Live to talk about how AI is changing warranty and service experiences for manufacturers of complex, high-value equipment. Josh Russell, VP of Product at Circuitry.ai, joined Gerardo Pelayo, Ph.D., Vice President of Research & Advisory at Service Council, to share his perspective on where legacy approaches fall short and how AI-driven decision intelligence is reshaping the future.
Check out Gerado and Josh’s episode: “Reshaping Warranty in the Age of AI.
You can watch the full episode on Spotify, Apple podcasts, or YouTube.
Here are our five takeaways from the conversation.
1. Rules can’t keep up with today’s complexity
Traditional warranty systems run on thousands of business rules. Every time a new product, service contract or policy is introduced, those rules need to be updated. It’s slow, unsustainable, and creates opportunities for mistakes. AI removes that burden by interpreting and understanding contracts and policies in real time, handling the nuance, and adapting as things change.
As Josh said. “AI provides a new approach where we can read and understand those policies and use them to supplement the warranty process with real intelligence.”
This leads to faster, more accurate decisions and shifts the focus from transactional rule maintenance to more strategic solutions focused on contract profitability, dealer performance, and opportunities to uncover hidden costs or revenue.
2. Faster adjudication builds stronger relationships
Reduce your multi-week warranty claim cycle to minutes. Josh explained, “When we look at what AI can do, when including claim scoring into the automated adjudication process, using machine models that are trained not only on policies but also repair history plus external conditions such as telematics, the benefit is faster and more accurate adjudications.”
This approach keeps claim queues shorter, lightens adjudicator workloads, and reduces the risk of errors caused by rushed claimed reviews. Faster adjudication means dealers get paid quickly, frontline teams avoid burnout, and customers see their issues resolved without delays.
When dealers are paid quickly and customers see fast, predictable resolutions, trust grows on all sides. That trust strengthens the long-term relationships between OEMs, their dealer networks, and the end customers who rely on their equipment.
3. A single pane of information
Warranty teams often lose time retrieving details from multiple systems: contracts, service bulletins, dealer notes, and claims history. Information is usually siloed across PLM, CRM, ERP, knowledge bases, warranty systems, and dealer management systems.
AI ingests knowledge from every system and presents it in a single, concise response, so adjudicators don’t need to move between systems. Having the full context in front of them speeds up the decision-making process and reduces mistakes.
As Josh noted: “What we’re doing is ingesting information from multiple sources using AI Agents to pull the right details into the conversation in real time, and that’s where the power comes from.”
4. Instant decision support
Decision Intelligence support goes beyond issuing a final ruling on a claim. It involves surfacing the right data instantly and presenting it during the adjudication process. Within the claim score, AI can surface supporting information, such as parts lists that do not align to norms, unusual labor codes or costs, and anomalies compared to historical claims and work orders.
When these patterns are flagged, claims can be routed for further review or inspection before costly errors occur. Because the intelligence layer sits directly on top of the existing warranty and support systems, analysts can view the score and supporting context within their standard workflow.
This approach reduces change management effort, simplifies processes, and equips warranty teams with the information needed to make accurate, defensible decisions quickly.
5. A better experience for all
The benefits ripple through the entire service chain. Internal teams experience faster, more accurate processes, fewer bad approvals, and more time to focus on high-value work like fraud detection, appeals, and contract optimization.
Dealers spend less time chasing claims and can give customers reliable answers up front. Customers benefit from faster fixes and higher first-time fix rates, building loyalty and trust.
Decision Intelligence transforms warranty
from a cost center into a driver for cost savings, stronger relationships and smarter growth.
Bringing it all together
The conversation on the inService Podcast introduces just a few strategies to improve warranty solutions. Your warranty process doesn’t have to remain a slow, rules-heavy cost center. By rethinking the process with AI-driven Decision Intelligence, manufacturers can speed up adjudication, reduce errors, and create better experiences for dealers, technicians, and customers.
To hear the full discussion and explore these ideas in more depth, watch or listen to the replay here.
Ready to take the next step?
We’re offering a complimentary AI Advisory Session. This is a focused, 30-minute working session with our experts. In this session, you’ll identify high-value opportunities in your service or warranty workflows and quantify ROI potential tied to your priorities.
