Field service is entering a generational shift.
Long defined by reactive, labor-intensive work of installing, maintaining or fixing equipment at customer locations, field service organizations are turning to AI-powered field service management software to address skilled labor shortages, rising customer expectations and mounting administrative complexity.
“We're in this profound shift in the technology underpinnings of service that are starting to really drive significant, meaningful impact,” said Mike Brinker, principal at Deloitte Consulting. AI is enabling organizations to become “predictive, proactive and AI-assisted.”
From roadside assistance providers to home security installers, adoption of field service management software is surging. Nearly 3 in 5 organizations surveyed currently use such software, while one-third plan to invest in it in 2026, according to a Deloitte Digital report released in January. Moreover, 84% of those surveyed reported high or very high return on investment, with an average ROI of 153%.
AAA Roadside Assistance, for instance, sped up its response time to customers by 5 minutes and reduced employee turnover and attrition by 30% after deploying Salesforce’s field service management software, a Salesforce spokesperson said in an email.
The technology’s most immediate impact has been to streamline paperwork and ease administrative burdens, allowing technicians to focus on performing maintenance and repairs.
“You have field workers that are out there working on mission-critical equipment, and it's imperative without getting stuck in the administrative tasks or having to find the answers that they need,” said Kiri Leibold, VP of customer success at XOi. “AI is there to help them get the job done faster.”
Such administrative burden on technicians has downstream consequences for customer experience. Without automation, technicians often rush their documentation, producing “crappy service reports that may say ‘work done’ or ‘fixed it,’” which triggers disputes and repeat calls, Leibold said. Automating summaries and documentation can break that cycle.
The goal of many AI-powered field service solutions is to put “the back office in your pocket,” said Taksina Eammano, EVP and GM of field service at Salesforce.
AI can synthesize work orders, customer history and parts data before a visit, provide guided troubleshooting and warranty checks on-site, and automatically generate invoices and documentation afterward.
Saving service knowledge before it retires
More and more field service organizations are turning to AI, in part, to alleviate workforce challenges.
“There's a huge skilled labor shortage,” Eammano said, adding that AI allows technicians to spend more time performing maintenance and repairs and less time on administrative work.
Denny Lawrence, innovation leader at Comfort Systems USA, an XOi customer, called the challenge a “silver tsunami,” as older technicians retire and take their knowledge with them.
“We had a lot of people that were retiring with a lot of information in their heads that were just leaving the industry,” he said.
Comfort Systems responded by digitizing senior technicians’ troubleshooting knowledge and building an AI-enabled “Fix Center” to support field teams.
Predictive and remote capabilities are also reshaping field service, with remote diagnostics and predictive maintenance providing the highest ROI, according to Brinker. Together, those capabilities allow field service organizations to shift “from a cost center to service as a service,” selling uptime and outcomes rather than break-fix repairs, Brinker said.
AI is also making it easier for field service organizations to schedule maintenance and repairs. Scheduling can cost technicians valuable time, as booking, cancelling or rescheduling takes an average of 11 to 17 minutes, according to Eammano. Agentic systems can now autonomously handle inbound and outbound scheduling, redistribute appointments when technicians call in sick, and conduct proactive outreach.
The technology is already managing tens of thousands of transactions, Eammano said.
CPI Security, another Salesforce customer, used the technology to narrow its appointment windows, reducing “where’s my technician calls” by 30%.
Similarly, after deploying XOi’s technology, one subsidiary of Comfort Systems USA, which builds and services mechanical, electrical and plumbing building systems, saw a 20% increase in revenue and a 65% reduction in invoice disputes, according to XOi. Customer approval rating at the subsidiary rose by 80%.
The pitfalls of leaning on AI without a sound base
But experts caution that technology alone does not guarantee results.
“The biggest pitfall is that [many organizations] don't focus on impact — they focus purely on the technology,” Brinker said. Successful transformations require sound governance, workforce changes and clean data. “If you've got a messy house, you've got to get that house in order.”
Comfort Systems USA, for example, spent a year and a half cleaning and structuring legacy work order and equipment data before scaling AI.
“There's never a good time to start cleaning up your data and organizing it,” Lawrence said.
Leadership is equally critical.
“If you don't have leadership that's bought in and supportive, you're never going to get that thing to actually take off inside the organization,” Lawrence said.
Phased rollouts can ease implementation. “We talk a lot here at XOi about having a very crawl, walk, run methodology,” Leibold said, warning that moving from “zero to 100” without a plan often leads to failure.
Vendor relationships matter, too. “You want to make sure you have a true partner,” Leibold said, as technological implementation, education, training, support and other factors often require close collaboration.
However, as AI agents proliferate, field service organizations will need to ensure continuity to deliver a great customer experience.
“There are so many places where agents can act fast, but are they acting accurately, and does everyone have visibility?” Eammano said. He added that CX leaders must ensure context follows the customer from AI and human agents to field technicians.
For many field service organizations, the question is not whether they should adopt AI, but how.
“‘AI is not going to replace your job, but the person using AI will,’” Lawrence said, recalling a service leader’s warning.
