AI in Service: Why Isolated Systems Prevent Real Progress
AI is supposed to transform service, but there is a gap between aspiration and reality. Many machine builders invest in smart technologies, yet processes stall because systems don't work together.
Machine data, maintenance histories, spare parts lists - all of it exists, but scattered across individual applications without connection.
For AI in service to deliver real efficiency gains rather than remain a concept, it takes more than algorithms - it takes connected systems.
The Problem: Isolated Systems Prevent AI Potential
Machine data exists in the cloud, maintenance histories in the service management system, spare parts lists in the ERP, customer data in the CRM. Each system is sensible on its own - but they don't talk to each other.
The result: AI models have no access to the data they need to make meaningful predictions.
“An example: an AI model should predict when a machine needs maintenance. For this it needs machine data, maintenance histories, and spare parts information. If this data is stored in different systems, the AI model has to access each system individually - which is often technically impossible or extremely complex.”
- Transaction-Network
The Solution: Connected Systems as the Foundation for AI
For AI to work in service, systems must be connected. This does not mean that all data must be stored in one system. It means that data is exchanged via interfaces and that AI models have access to all relevant data.
A platform can serve as a central hub: it integrates different systems, bundles data, and makes it available for AI models. At the same time, it ensures that the results of AI models are translated into concrete actions.
Example: AI-Powered Maintenance Planning
A concrete example: a machine builder wants to use AI to better plan maintenance. The AI model analyzes machine data and recognizes that a machine should be serviced in the next two weeks.
For this to become a concrete action, the system must:
Without connected systems, this is not possible. With connected systems, everything runs automatically - from AI analysis to implementation.
- **Check which spare parts are needed** (access to spare parts database)
- **Check whether spare parts are available** (access to inventory management)
- **Schedule a service technician** (access to deployment planning)
- **Inform the customer** (access to CRM)
- **Create an order** (access to service management)
AI is only as good as the data it can access. Isolated systems = isolated AI = no real value.
Conclusion: Connectivity Is the Prerequisite for AI
AI in service is not an end in itself. It only makes sense when it delivers real efficiency gains. And that only works when systems are connected and data flows seamlessly.
Those who invest in AI today should first ensure that their systems can communicate with each other. Otherwise AI remains a concept - without real impact.