Healthcare Firms Deploy AI Chatbots First, Broader Automation Later

Healthcare takes measured approach to AI deployment

Major healthcare organizations are concentrating artificial intelligence investments in three specific operational areas rather than pursuing broad automation, according to new research from PYMNTS Intelligence. The pattern suggests a sector prioritizing immediate friction reduction over comprehensive digital transformation.

A March survey of 60 senior technology executives at U.S. enterprises with at least $1 billion in annual revenue revealed that healthcare companies are deploying AI where staff strain and patient demand create the most pressure. The study examined AI adoption across 75 distinct business tasks in healthcare, financial services, and media sectors.

Three areas lead healthcare AI adoption

Customer service chatbots and virtual agents represent the most widely adopted AI application in healthcare, with 60% of surveyed firms using the technology. These systems handle routine patient interactions, route service requests, and reduce workload on human support staff.

Workforce planning and skills gap analysis rank second at 55% adoption. Healthcare organizations face challenges not just in staffing levels but in matching qualified personnel to appropriate roles. AI tools help identify coverage gaps and training requirements across complex care networks.

Logistics routing and delivery optimization reach 53% adoption, addressing the movement of supplies, medications, samples, and equipment through time-sensitive distribution networks.

Why it matters

Healthcare's selective AI strategy reveals both pragmatism and constraint. While financial services firms have achieved high AI adoption across 27 tasks, healthcare has reached that threshold in only 10 areas. This gap reflects healthcare's unique regulatory environment and data integration challenges rather than technological hesitation. Organizations that successfully scale from these narrow use cases to coordinated, data-connected operations will gain significant competitive advantage as labor shortages and operational complexity intensify across the sector.

Investment momentum despite integration gaps

Sixty percent of healthcare firms plan to increase AI spending over the next 12 months, according to the research. The same proportion cite pilot funding without formal ROI requirements as a driver for investment, while half point to productivity and efficiency gains.

Yet significant gaps remain in AI maturity. Customer journey orchestration sits at just 5% adoption, indicating most organizations have not connected AI across the complete patient experience. Regulatory compliance monitoring reaches only 30% adoption despite compliance being central to healthcare operations. Data labeling and feature engineering—foundational work that improves AI reliability—stand at 25% adoption.

The findings were first reported by PYMNTS Intelligence in The Enterprise AI Benchmark Report published in May 2025.