Overcoming Common Barriers to AI Adoption in Field Service

AI is already impacting today’s field service industry, but many companies struggle to implement it. 59% of companies struggle to integrate AI into legacy systems, and 51% face data quality issues.

It’s not just basic AI that’s paving the way for progress. European companies are moving to more sophisticated applications that can provide deeper insights and automate complex tasks. Field service teams’ efforts are moving beyond the “break/fix” model of field service and into generating new revenue streams from subscription-based services and new customer-facing capabilities.

Some of the most common challenges field service organizations face when implementing AI solutions:

Legacy System Integration

Existing outdated infrastructure causes inefficiencies. According to “The State of AI in European Field Service,” a report written by WBR and sponsored by Gomocha, 59% of respondents to a survey of field service leaders from European organizations reported hurdles in legacy integration as the most significant hurdle.

Data Quality or Quantity Issues

AI is, in essence, only as good as what you put into it. 51% of respondents to the survey highlighted data quality or quantity issues as a challenge. Incomplete or inaccurate data hinders its effectiveness. Without clean and relevant data, AI is obsolete and unable to generate valuable insights.

Unclear Use Cases for AI

49% of respondents reported unclear use cases for AI as a challenge in implementing AI. Some workers may not understand the benefits and potential of AI, fear its takeover, or mistrust its purpose.

Lack of Internal AI Expertise

48% of respondents reported another notable obstacle: a lack of internal AI expertise. A lack of in-house experts can mean a lack of direction or vision for implementing AI.

Flexible AI solutions can work with existing infrastructure. Field service leaders must invest in these solutions while developing a long-term plan for modernizing core infrastructure. The responses also suggest that companies may need to invest in data management, strategy development, and training to showcase and reach AI’s full potential.

Gomocha’s platform supports easy integration with legacy systems and existing infrastructure, allowing for smooth AI adoption without disrupting current workflows.

Simplify Asset Management

Custom Portal Integration creates shortcuts to customer portals for technicians to access asset information easily.

Asset overload slows techs down. Custom shortcuts provide instant access to critical information, speeding up service and reducing mistakes.

Install Integrated Field Operations

Time and Job Tracking in Gomocha’s mobile app combines registrations and time tracking into a single digital solution for field operators. Multiple systems for basic tasks waste time and introduce errors. An integrated solution improves accuracy, saves time, and lets operators focus on their core responsibilities.

When you install integrated field operations, your organization has one integrated platform that handles job registrations and time tracking with no juggling act required. This isn’t only about lessening paperwork headaches — it’s also about freeing up your techs to focus on the main course: solving customer problems.

With streamlined data entry in Gomocha, techs wrap up administrative tasks quickly, leading to faster job completions and more accurate records.

Manage Real-Time Field Data

Gomocha standardizes and organizes data, ensuring that insights generated from AI are accurate and actionable.

Real-Time Data Management in the mobile app provides real-time asset data updates and streamlined information access for field operators.

Outdated asset information wastes time and frustrates techs. Mobile access to real-time data speeds up job completion and improves service quality.

Be Ready for Any Job (with AI-Powered Prep Work)

GOPredict, a soon-to-be-released Gomocha feature, uses AI to analyze historical data and predict necessary materials and tools for each job. Unprepared techs mean return trips and unhappy customers. AI-driven predictions ensure first-time fixes and efficient service.

It’s not about replacing technician know-how — it’s about backing it up with data-driven insights. The result? Faster fixes, fewer site visits, and happier customers.

GOPredict is currently in development as a fully secure, non-commercial AI solution. This means all data processing happens within Gomocha, so you can be sure your data — and that of your customers — is safe and secure…and will never be used to train commercial AI platforms. With Gomocha, invest in safe AI, so your tech can be ready for any job.

Read the report, “The State of AI in European Field Service,” written by WBR and sponsored by Gomocha, for further insights into the survey of field service leaders from European organizations.