Human resources teams increasingly see artificial intelligence and automation as tools for improving service delivery, but new research from Eagle Hill Consulting suggests technology adoption has not eliminated the operational friction consuming HR professionals’ time. The company’s 2026 HR Technology and Service Delivery Survey found that 86% of HR professionals say AI or automation helps them deliver better business service, while 51% spend at least half their workweek on routine, repetitive or low-value administrative work.
HR technology adoption is advancing, but the latest research from Eagle Hill Consulting suggests that adding more technology does not necessarily make HR work simpler.
The consulting firm’s HR Technology and Service Delivery Survey found a significant gap between HR professionals’ confidence in AI and the way work actually moves through their organizations. While 86% of surveyed HR professionals said automation or AI helps them provide better service to the business, 91% said technology makes it easier to access the information required to do their jobs.
At the same time, 51% said they spend at least half of their working week on routine, repetitive or low-value administrative tasks.
The findings point to a familiar problem in HR technology: automation can accelerate individual activities without necessarily fixing the underlying workflow. Fragmented systems, duplicate data entry, manual handoffs and unclear ownership can remain even after organizations introduce new HR software.
Eagle Hill’s survey found that 91% of HR respondents use at least two systems to complete a single HR-related task, while 43% use three or more. Nearly four in five respondents, or 78%, regularly enter the same information into multiple systems. Another 68% rely on workarounds such as spreadsheets, shared drives or manual tracking.
Those issues can directly affect HR’s ability to move toward strategic workforce planning, talent development and employee experience initiatives. Seventy percent of respondents said administrative HR work often prevents them from concentrating on more strategic priorities.
The research also highlights a service-delivery problem beyond HR’s internal workload. Sixty-two percent of HR professionals and 67% of senior business-leader customers surveyed reported frequent service delivery challenges, including slow response times, excessive handoffs, inconsistent processes, unclear ownership and manual work. Meanwhile, 84% of senior leaders said HR requests often require additional follow-up or rework.
The findings arrive as HR operating models are being reshaped around AI. Gartner says 50% of current HR activities could be automated or performed by AI agents by 2030, while 61% of HR leaders were already in advanced stages of generative AI implementation as of January 2025.
McKinsey’s 2026 HR research similarly argues that AI adoption requires changes to the underlying operating model. Its research estimates that two-thirds of HR processes can be partially or fully automated, while fragmented technology landscapes and limited capability building remain obstacles to scaling AI across the function.
That makes workflow design increasingly important for HR technology buyers. Instead of treating AI as another layer on top of existing processes, enterprises are being pushed toward redesigning how requests, data, approvals and decisions move across HR systems.
Eagle Hill’s survey also shows that AI adoption comes with governance and integration challenges. Ninety percent of HR respondents said they trust AI at least somewhat to help them perform their work. Yet 37% reported frequent integration challenges, 36% said they are often or always unclear about how AI-generated outputs were produced, and 32% reported frequent problems involving incomplete information.
Those findings matter as HR teams move from experimentation toward more embedded AI workflows. A system that generates a recommendation or automates a task still needs reliable data, clear ownership and appropriate oversight. Gartner’s 2026 HR research similarly identifies AI-driven HR transformation and workforce redesign as major priorities for CHROs.
For HR technology providers, the shift could increase demand for platforms that connect workflows rather than simply add isolated AI features. Integration, data quality, process orchestration and explainability are becoming part of the product conversation alongside automation itself.
For HR leaders, the Eagle Hill findings suggest that the starting point may be process mapping rather than another software purchase. Identifying where employees encounter repeated data entry, manual approvals, handoffs and workarounds can help determine where automation can deliver measurable operational improvements.
The survey was conducted by Ipsos for Eagle Hill Consulting from March 3-9, 2026. It included 200 full-time U.S. HR professionals working for organizations with annual revenue of at least $100 million. No post-hoc weighting was applied, and the findings represent the opinions of those respondents rather than a statistically weighted estimate of the entire U.S. HR profession.
The broader lesson is not that HR needs less technology. Rather, the research highlights the growing importance of aligning HR technology with the way work is actually performed. As AI takes on more routine activities, poorly connected processes could become an increasingly visible constraint on HR transformation.
Market Landscape
HR technology is moving from standalone automation toward AI-enabled operating models that connect data, workflows and decision support.
Gartner estimates that half of current HR activities could be automated or performed by AI agents by 2030. McKinsey’s 2026 HR Monitor similarly identifies fragmented technology environments and limited capability building as barriers to scaling AI, while emphasizing a shift toward capability-based workforce planning.
This puts workflow redesign alongside AI adoption on the HR technology agenda. Enterprises evaluating HR automation increasingly need to consider integration, data governance, process ownership and human oversight—not just whether a platform includes generative or agentic AI.
Top Insights
- Eagle Hill found 51% of surveyed HR professionals spend at least half their workweek on routine, repetitive or low-value administrative work.
- Ninety-one percent use two or more systems for a single HR task, while 78% regularly duplicate information across systems.
- AI confidence is high, but 37% report frequent integration challenges and 36% lack clarity about how AI outputs were generated.
- Gartner projects that half of current HR activities could be automated or performed by AI agents by 2030.
- HR transformation is increasingly shifting from software implementation toward workflow redesign, data integration and operating-model changes.
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