For decades, automation has helped industrial OEMs improve productivity and reduce manual intervention. But today’s realities look very different. Tighter margins, rising service costs, supply chain volatility, and customer expectations for near-zero downtime mean automation alone is no longer enough.
OEMs are now moving into a phase where AI functions as the operating layer, integrated into how products are designed, built, monitored, and serviced. This transformation is driven by three major pressures:
AI is no longer arriving as a single feature. It is becoming a capability embedded across engineering, quality, supply chain, and aftermarket service.
And as IoT matures into AIoT, the impact is clear:
With solutions like Interscope AI™ and the Jera AI co-pilot, Bridgera is enabling a smarter model for OEM operations. They help manufacturers move from connected products to autonomous, data-driven equipment ecosystems without replacing their existing tech stack.
Because the competitive advantage for OEMs is moving from mechanical superiority to data-driven intelligence, especially intelligence that can predict, optimize, and automate.
Traditional IoT helped OEMs sense events.
AI helps OEMs interpret, correlate, and act on them.
Instead of dashboards waiting for humans to react, AI enables systems that recommend or execute the next best action automatically, reinventing how OEMs approach design, operations, and customer service.
Here’s what’s changing:
Modern OEMs are shifting from:
Interscope AI™, is designed specifically for this transformation. It removes the burden on OEMs to build AI infrastructure in-house and delivers plug-ready intelligence across products, service teams, and customer environments.
AI is enabling OEMs to:
With Bridgera, OEMs can add AI capabilities to current Industrial IoT systems without starting from scratch.
OEM engineering teams are accelerating innovation through:
AI predicts failures, enables virtual performance validation, and accelerates development cycles, resulting in lower prototyping time and cost.
AI strengthens the operational backbone with:
Instead of reacting, OEMs can now anticipate and prevent operational and service issues.
Aftermarket service is a major profit center for OEMs. AI improves it by enabling:
Interscope AI™ unify these capabilities, helping OEMs deliver service models that are proactive, efficient, and highly personalized.
Modern OEMs need more than device connectivity. They need AI-powered IoT architectures that unify telemetry, context, workflows, and automated actions across the product lifecycle.
AI enriches IoT by transforming raw sensor data into context-aware, predictive, and actionable intelligence. Instead of isolated alerts, OEMs receive:
This is exactly what Interscope AI™ delivers through four core layers:
Together, these layers create a complete architecture where data, intelligence, actions, and automation work seamlessly.
Feature | Traditional IoT | Bridgera AIoT Advantage |
| Predictive Maintenance | Basic or reactive alerts | Jera AI forecasts failures and recommends actions |
| Resource Allocation | Manual optimization | Real-time AI-driven optimization |
| Customer Insights | Basic dashboards | Personalized insights and NLP-powered queries |
| Workflow Automation | Limited rules | Agentic workflows + remote actuation |
| Data Intelligence | Siloed metrics | Unified intelligence across history + real-time data |
Interscope AI™ enable OEMs to move from visibility → prediction → automation → autonomous operations.
Bridgera evaluates asset connectivity, PLCs, controllers, telemetry points, existing IIoT systems, and data gaps.
This aligns with Bridgera’s AI Readiness Framework pillars: data maturity, infrastructure, process automation, governance, and talent.
Rather than long, risky AI projects, OEMs start with a “quick win,” such as:
PoVs typically deliver results within 90 days, consistent with Bridgera’s OEM roadmap.
For OEMs with onsite hardware, Bridgera’s IoT gateway architecture supports:
Bridgera configures:
These are powered by Interscope Logik dashboards and Jera co-pilot responses.
Once the PoV proves ROI, OEMs replicate the model across:
AI in OEM operations grows from a single use case to an enterprise-wide intelligence layer.
Reduce downtime, warranty costs, and onsite visits.
Detect defects early with 10× accuracy improvement.
Improve parts availability and production planning.
Automate troubleshooting, ticket triage, and maintenance recommendations.
Provide technicians and customers with AI-guided workflows.
Most AI initiatives fail because the organization lacks:
Bridgera bridges these gaps through:
A structured 8-week discovery covering data, infrastructure, processes, governance, and talent, ending with a maturity score and a clear roadmap.
A quick-win use case that delivers measurable ROI and builds organizational momentum.
Predictive analytics, agentic AI, RAG, automation workflows, chatbots, and more.
Onsite, onshore, nearshore, or offshore resources to fill skill gaps fast.
This ensures OEMs can scale AI safely, pragmatically, and profitably.
AI in OEM operations is no longer experimental. It is becoming the backbone of predictive service, operational efficiency, intelligent product design, and scalable recurring revenue.
AI transforms OEMs by making:
With Bridgera’s AI implementation solutions, OEMs can transform operations, services, and product intelligence at scale:
Bridgera provides the unified, enterprise-grade AIoT platform required to modernize and scale.
The journey from smart to smarter starts with one step.
Schedule a demo of Interscope AI™ to see how predictive maintenance, AI-powered monitoring, and intelligent automation can enhance your product ecosystem.
About the Author
Joydeep Misra, SVP of Technology
Joydeep Misra is a technologist and innovation strategist passionate about turning complex data into simple, actionable intelligence. At Bridgera, he leads initiatives that blend IoT, AI, and real-world operations to help businesses move from connected to truly autonomous systems. With over a decade of experience in building enterprise-grade platforms, Joydeep is a strong advocate for practical AI adoption and believes that the future belongs to those who can make machines think and act.
Oil and gas operations depend on tight coordination across drilling, production, field services, logistics, and safety.…
The conversation around artificial intelligence (AI) has never been louder. From generative AI tools creating…
The artificial intelligence revolution is transforming industries at an unprecedented pace, but there's a critical bottleneck slowing progress: a…
Artificial Intelligence is now central to how modern enterprises operate, compete, and grow. Yet many organizations…
What Is SCADA and How Does It Work in Industrial Remote Monitoring? If you’ve ever…
Custom IoT solutions have revolutionized how businesses operate, allowing organizations to tailor technology precisely to…