Report
HR’s problem isn’t too much work. It’s poorly designed work.
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TalentTechnology enablementHR professionals believe automation and AI are helpful, so why is HR work still so hard?
HR has been chasing transformation and efficiency for decades, often through new technology. The promise is familiar: this time, the workload will get lighter. An Eagle Hill Consulting survey of HR professionals and senior business leaders reveals that while these investments improve parts of the HR work, they typically don’t change the day-to-day experience in a meaningful way.
HR professionals believe automation and AI help. So why is HR work still so hard?
AI and automation raise the stakes of repeating this pattern. HR has invested heavily in both. SHRM reports that AI adoption in HR rose by nearly 65% between 2024 and 2025, underscoring just how quickly the function is changing. Yet new Eagle Hill Consulting research reveals a striking tension. HR professionals believe in these technologies—in how they help them deliver better service, drive results, access information, and improve quality. But heavy routine work, fragmented systems, and frequent rework continue to define their day-to-day.
The problem is that the underlying HR workflow design isn’t being addressed. Processes aren’t fully documented. Handoffs aren’t mapped. And root causes go unexamined. Instead, HR is layering AI and automation onto processes that were never designed to work as an integrated service across the organization.
There is an opportunity for HR to move beyond this cycle of optimizing for efficiency alone. True HR transformation requires integrating people, processes, data, and technology so the work itself changes. By making HR transformation about redesigning the work first, HR can do more than finally deliver on the efficiency promise. It can drive talent outcomes that improve performance and growth.
The promise and the reality of automation and AI in HR aren’t the same. Employee confidence coexists with operational friction.
We surveyed HR professionals and the senior business leaders who rely on them to understand their perspectives on service delivery and technology adoption. The data consistently shows that HR professionals surveyed are confident in AI and automation yet still face friction in their daily work. Value is getting trapped between technology’s potential and how work gets done in three critical areas:
1. Capacity: HR tools are good. The workday hasn’t changed.
Most (86%) HR professionals surveyed agree that automation or AI helps them deliver better service to the business. But this confidence doesn’t translate to the day-to-day. Service delivery issues persist, and how HR employees spend their time hasn’t changed much. In fact, 51% of HR respondents spend at least half of their week on routine, repetitive, or low-value administrative work.
Underlying process and workflow issues are the top challenge to HR service delivery, according to both HR and internal customers. Sixty-two percent of HR respondents and 67% of senior leader customers surveyed often or always experience challenges such as:
- Slow response times
- Too many handoffs
- Unclear ownership and accountability
- Inconsistent processes across teams
- Manual or overly complex processes
Senior leaders who depend on HR feel the impact. A full 84% of senior leaders surveyed agree that HR requests often require additional follow-up or rework. The HR respondents feel it too: 70% agree that time spent on HR administrative tasks often prevents them from working on more strategic tasks.
HR organizations often take a tools-first approach to transformation. It’s understandable. New technology can look like a faster path to improvement, especially when the underlying work is complex. But whatever the tool, the workday will unfold the same way if the work around it never changes. For HR leaders, the opportunity is to design the work before scaling technology.
84%
of senior leaders surveyed agree that HR requests often require additional follow-up or rework.
2. Integration: HR technology improves access. Fragmentation undermines it.
There is consensus that tools improve access to information in certain moments. Nearly all (91%) HR respondents say automation or AI makes it easier to get the information they need to do their work. Yet the broader experience is much different because the system environment is so fragmented.
Thirty-seven percent of HR respondents often or always deal with system integration issues when they use AI or automation. Nearly all navigate a tangle of systems to get work done. Ninety-one percent use two or more systems for one task, and 43% use three or more systems. A full 78% of HR respondents often or always provide the same data into multiple systems, and 68% use their own workarounds, such as spreadsheets, shared drives, and manual tracking, to complete required tasks.
The irony is that while HR professionals have more technology than ever, years of investing in discrete systems have created an HR technology stack that was never designed to work as one. When systems don’t talk to each other, workarounds become routine. These small “fixes” may seem inconsequential, but they can quickly snowball and become larger downstream problems.
3. Governance: AI is trusted. HR lacks clear guidance for using it.
Nearly all HR professionals surveyed (90%) trust AI at least somewhat to help them do their work. This signals that HR is largely bought into AI and its potential to transform their function.
Trust is a critical foundation to have, but it’s not a governance model. When using AI or automation in their work, 36% of HR respondents are often or always unclear about how the output was generated. And 32% often or always experience challenges with incomplete information.
Trust is a critical foundation, but it’s not a governance model.
AI arrived faster than the organizational structures to support it. Without clear AI governance in HR, there isn’t a line that defines what the technology does and what the human is responsible for. There are no escalation paths for when the technology falls short. When people fill in the gaps themselves, they create more work, complexity, and inconsistency around a tool that was supposed to do the opposite.
True HR transformation starts with cooperative optimization
The survey data makes it clear that investing in technology is not the same as transforming HR work.
HR organizations that get transformation right know this and take a different approach. They don’t use incremental fixes that move problems around instead of solving them. They don’t wait for the promise of technology to become reality on its own. And they don’t transform top-down without understanding what’s happening on the ground.
These organizations understand that the people doing the work and leadership want the same thing—for work to be easier and for the organization to succeed. They go to where the work is performed, talk to the people doing it, understand what makes their day harder, and identify solutions that address employee and leadership needs. We call this cooperative optimization.
Cooperative optimization starts with the people closest to the work. It’s grounded in the belief that employees’ ideas are key to improving performance and that people embrace change they’ve helped shape. The team diagnoses current-state friction, co-creates practical solutions, and aligns people, process, technology, and data for better outcomes. With change management built in, people are more likely to adopt the technology, and the gains in efficiency and effectiveness are more likely to last.
HR optimization done right: A model for the entire back office
The pattern of layering technology onto broken processes isn’t only happening in HR. It’s common across the back office. Whether it’s HR, finance, IT, or operations, back-office optimization succeeds by addressing people, process, technology, and change together. That’s how to ensure that technology powers work, instead of complicating it.
HR’s optimism about AI and automation is justified. These technologies can make a big impact in HR. But the first step isn’t implementing them and hoping for outcomes. It’s committing to the foundational task of redesigning ways of working. With employees. For the business.
Ready to redesign HR work around people, process, technology, and data?
Methodology
The Eagle Hill Consulting HR Survey was conducted by Ipsos from March 3-9, 2026, via an online survey in the U.S. For this survey, Ipsos recruited a sample of 200 HR professionals from various industries using B2B panel samples. To qualify for the survey, respondents had to be employed full-time and work for an organization with annual revenue of $100+ million. No post-hoc weights were applied to the data and the findings reflect the opinion of these respondents.
The Eagle Hill Consulting Senior Business Decision Markers Survey was conducted by Ipsos from March 3-9, 2026, via an online survey in the U.S. For this survey, Ipsos recruited a sample of 200 senior business decision-makers from various industries using B2B panel samples. To qualify for the survey, respondents had to be employed full-time, Director level or above, and working for an organization with annual revenue of $100+ million. No post-hoc weights were applied to the data and the findings reflect the opinion of these respondents.
