Increase the First-Time Fix Rate

Every avoidable follow-up deployment results in additional costs.

Often, the impact on the customer is even more important. If a machine, piece of equipment, or medical device is unavailable, an additional day of downtime can result in significantly higher costs than the actual service call.

A high first-time-fix rate therefore supports several goals at once: lower service costs, higher technician productivity, shorter downtime, and a better customer experience.

It can also have a direct impact on the profitability of the service business. Fewer repeat visits free up capacity for additional service orders and reduce unplanned costs under service contracts.

In many discussions, improving the first-time-fix rate is very quickly linked to a field service management solution.

That’s right—but it’s only part of the answer.

A high-performance field service solution is an essential component. In particular, it supports planning, scheduling, and execution. However, the information needed for these tasks is generated in many other parts of the service process.

Service Request → Qualification → Diagnosis → Service Order → Parts Planning → Dispatch → Field Execution → Confirmation → Billing → Analysis

At virtually any of these points, something could happen that would later require a second service call. Therefore, sustainably improving the first-time fix rate requires a digital and integrated end-to-end process.

The first step often lies in customer interaction. A report such as “The machine isn’t working” is hardly sufficient for proper preparation for a service call.

Ideally, relevant information should be recorded in a structured manner right from the service request:

Digital customer service and self-service processes can make a significant difference here.

The better a service request is assessed upon receipt, the more effectively downstream processes can determine whether an on-site visit is necessary and how it should be prepared.

And sometimes, the best “first-time fix” is actually the service call that doesn’t have to happen at all—for example, when the problem can be resolved through self-service, remote support, or specific step-by-step instructions.

When preparing for an operation, the current error alone is often not enough. The following, for example, may be relevant:

Much of this information is not stored in the field service system itself, but rather in systems such as ERP, service, asset, documentation, or knowledge management systems. This is why the backend plays a crucial role, especially in SAP-centric environments.

A technician can only work with the information available to him. And even a highly optimized dispatch process will not make the best decision if important information about equipment, parts, or history is missing.

A perfect dispatch based on incomplete data is still a poor dispatch.

Having data in different systems is not the same as having an integrated service process.

Is the right information available at the right time during the right step in the process?

For example, a field service system requires information from the backend. At the same time, feedback from the technician must be fed back into downstream processes.

These include, for example:

Integration is therefore not merely a technical issue in the background. It directly affects the quality of operational service.

If the technician encounters an outdated system configuration, an out-of-date parts inventory, or missing important service records, the risk of a follow-up service call increases.

Seamless integration between service, ERP, and field service is therefore essential for achieving a high first-time fix rate.

One of the most obvious reasons for a second visit is a missing replacement part. The technician may know exactly what the problem is—but still can’t fix it.

That is why diagnostics, parts planning, logistics, and field service must work closely together. Before a service call, it should be possible to answer the following questions if possible:

Field Service knows the scheduled assignment. The backend and logistics systems know the materials and inventory levels. Seamless process integration brings the two together.

Only on this basis can a modern field service solution realize its full potential.

SAP Field Service & Asset Management , for example, helps companies intelligently coordinate service orders, technicians, skills, appointments, and available capacity. The key question isn’t just: Which technician is available?

Which technician is in the best position to successfully resolve this specific service issue?

The following, among other things, may be taken into account:

Effective scheduling, therefore, does more than just optimize travel times and capacity utilization. It increases the likelihood of sending the right person with the right resources to the customer on the first assignment.

Even the best preparation cannot fully anticipate every problem. That is why the technician needs access to the relevant service context during the job.

These include, for example:

Especially for complex systems, the service history thus becomes an active tool for problem-solving.

At the same time, new findings should be digitally recorded directly on site. If information is transferred from notes only later, or if it remains solely with the individual technician, valuable knowledge is lost for the next service call.

Digitization isn’t just about replacing paper with a mobile app. Digitization means integrating the entire service process with a seamless flow of information.

The next step is not only to make the available information accessible, but also to use it intelligently. This is where artificial intelligence can make a significant contribution.

AI should not be viewed as a separate addition to the service process. It provides the greatest benefit when it is embedded precisely where decisions are made within the process.

For example, AI can:

This makes it possible to create a significantly better starting point even before dispatch.

AI can support planning decisions and take more context into account than traditional rule-based processes.

In addition to distance and availability, factors such as probability of success, experience with specific fault patterns, skill level, or parts availability could be factored into the decision.

The optimal technician is therefore not necessarily the one who is closest—but rather the one who is most likely to resolve the issue on the first visit.

AI can also assist technicians on-site.

Instead of having to manually search through extensive documentation, they can, for example, ask questions about specific equipment:

This makes it possible to create a significantly better starting point even before dispatch.

But the benefits don’t end there.

For example, AI can help with documentation, organize technical feedback, identify recurring issues, and analyze why certain cases weren’t resolved on the first visit.

This means that every completed service order can generate new insights for the next one.

Understand → Prepare → Execute → Learn → Improve

This is precisely where the technological architecture comes into play. In an SAP-centric service organization, different platforms and applications must work together seamlessly.

In proaxia’s Seamless Service approach, we therefore consider not only the actual field service assignment, but the entire process—from customer interaction all the way back to the backend.

Digital customer portals and customer service processes help to handle inquiries in a structured manner, provide service information, and actively involve customers in the process.

This is where key business and master data related to customers, equipment, contracts, service orders, materials, inventory, and billing are stored.

FSA covers planning, dispatch, and mobile field execution, and connects the service organization with technicians.

The proaxia FSA Cloud Connector connects field service with SAP backend processes and ensures that relevant business and service data is consistently available across all systems.

The Field Service Component Manager allows components and material requirements to be more closely integrated into field service preparation and planning.

The proaxia Customer Service Suite expands the process to include digital self-service and customer service scenarios.

AI, Agents, and Assistants can build on these processes and data to intelligently support individual decisions and, increasingly, entire process chains.

The key is not to deploy as many systems as possible.

The key is that this results in a seamless service process.

A first-time-fix rate of, say, 78 percent initially only indicates that 22 percent of the relevant service calls could not be resolved on the first visit.

The next question is more interesting: Why?

Possible causes may include:

Only when these causes are systematically analyzed will the KPI become a tool for process improvement.

In this context, it is worth taking a nuanced look at, for example:

This makes it possible to identify where in the end-to-end process the greatest opportunities for improvement lie.

A high first-time fix rate isn’t achieved through a single software solution.

It is the result of a service process in which customer interaction, diagnostics, backend systems, data, replacement parts, planning, field execution, and documentation consistently work together.

Field Service Management is a central component of this—but it only achieves its full potential when integrated with upstream and downstream processes.

And this is precisely where AI opens the door to the next stage of development.

When service requests are intelligently triaged, fault patterns are detected earlier, parts requirements are better predicted, planning decisions are optimized, and technicians receive context-aware support, a digitized process evolves into an intelligent service process.

Digital and AI-enabled—from the first customer interaction to the completed solution and back into the continuous improvement process.

Since 2004, Sebastian Behne has been supporting companies in the digital transformation of service, sales, and asset management processes in the SAP environment. His focus is on international service transformations in asset-intensive industries. Working closely with SAP, Sebastian Behne drives the further development of proaxia’s Seamless Service Solutions and Industry Add-ons for end-to-end service processes—from customer engagement and service operations to field service and asset management.