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Accelerate human-centered HCM with AI

 

Executive summary

 

Many organizations find that modern HCM platforms, while technically sound, often frustrate employees. The disconnect stems from designing for systems instead of people. Grant Thornton advocates for a human-centered, AI-enabled approach—grounded in real employee journeys—to drive meaningful transformation. By aligning workflows with how people actually work, companies can reduce friction, boost adoption and restore trust in their systems. The future of HCM lies in empowering people, not just optimizing technology.

 

Organizations have poured enormous investment into modern human capital management (HCM) platforms, hoping to simplify work, empower employees and unlock better decision-making. Across industries, however, something strange keeps happening: the technology “works,” yet the workforce is frustrated.

 

The system is technically correct. The experience is operationally exhausting.

 

This tension has become impossible to ignore. Many companies now realize they haven’t just failed to unlock the full value of their HCM investment; they’ve often made work harder. Workflows have become longer than they need to be. Labels don’t match real-world terminology. Steps don’t reflect the way employees do their jobs. And even the most well-intentioned configurations end up creating new hoops for people to jump through.

 

“Recently, a client shared their experience launching a top-tier HCM system,” recounted Grant Thornton Technology Modernization Services Partner Zac Taylor. “In the system documentation, every process was automated, modern and compliant. However, the reality for managers and employees was starkly different.” Despite the technology meeting its technical requirements, managers continued tracking approvals through email, and employees resorted to maintaining their own spreadsheets. “The result was a disconnect: While the system was designed perfectly on paper, it failed to reflect the day-to-day workflow needs of its users. That leads to diminished enterprise value.”

 

The problem usually isn’t the technology itself, it’s the design philosophy behind it.

 

Most organizations still design their HCM systems based on process maps, policy documents or idealized models of how work should be done. They design for the system, instead of designing for the people. They deploy modules based on functionality instead of behavior. Ultimately, they lean on training to compensate for poor design, rather than fixing the underlying experience.

 

It's no surprise that spreadsheets reappear, approvals get bypassed and employees resort to old habits. When people feel friction, they find workarounds — not because they’re unwilling to adapt, but because the system isn’t aligned to how they operate.

 

This matters more than ever before

 

Employee expectations have changed faster than organizations’ HR systems have. People want clarity, speed, and simplicity. They want technology that adapts to them, not the other way around. At the same time, HR leaders are under pressure to reduce cost, strengthen compliance, improve productivity and deliver better experiences, all with fewer resources.

 

Trying to achieve this through traditional HCM optimization approaches is nearly impossible. Gaps in experience can’t be fixed with more training. Adoption can’t be achieved through mandates. Processes that are fundamentally misaligned with the way people work can’t be expected to scale.

 

“When one company thought that more training would solve the adoption issues, we pushed to engage with the frontline employees,” said Grant Thornton Business Consulting Partner Joe Ranzau. “We identified that the system’s language didn’t match what they used on the job, and critical steps were buried in confusing prompts. By listening to their experience, we uncovered simple changes that made the process intuitive, and adoption soared.”

 

Human-centered redesign is more than a trend. It’s the only sustainable way to realize the value of your HCM investment. 

 

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The essentials of human-centered HCM

  • Design for people, not systems: Align HCM with how people actually work. Prioritize real employee needs and behaviors over rigid process maps or system requirements.
  • Leverage AI as an enabler: Use AI to surface patterns and accelerate insights but rely on human judgment to create meaningful change.
  • Listen continuously and measure what matters: Replace static surveys with ongoing, contextual listening to capture authentic employee feedback. Focus on metrics that reflect human experience, not just system performance.

From process-first to people-first

 

A truly modern HCM transformation begins by listening deeply and continuously — not through broad annual surveys, which often reveal very little, but through ongoing, real-time and role-specific insights. AI now makes this possible in a way that it never was before. Instead of asking generic questions on a fixed schedule, AI-driven listening adapts to each employee’s journey. It asks questions in context, in the flow of work and even in the employee’s local language.

 

This creates an authentic picture of the live experience, revealing where employees succeed, where they struggle, where they abandon tasks and where friction compounds.

 

Understanding these lived journeys is the heart of the human-centered model. This analysis reveals the moments that matter and inflection points where frustration spikes or confidence drops. These insights fuel the redesign of workflows that feel intuitive, transparent and aligned to real behaviors rather than theoretical ones. This work goes beyond recognizing steps on a page, toward making work feel more effortless.

 
 

Where AI changes the game

 

AI has become a powerful engine behind smarter human decisions. It can analyze thousands of workflows in hours, identify patterns across personas and regions, uncover misalignments between configuration and reality, and highlight friction long before it becomes visible in support tickets.

 

AI can draft documentation, produce early versions of SOPs or test scripts and surface anomalies that humans would miss. It compresses weeks of analyses into days, and days into hours. But AI alone cannot design better experiences. That requires empathy, context, and human interpretation.

 

AI can surface patterns, but humans give them meaning. Technology can show us where things break down, but human-centered design can tell us why it does.

 

Organizations must remember that simplicity can be complex — they need intentionality and discipline to reduce friction, remove unnecessary steps and design interactions that feel obvious rather than overwhelming. AI exposes the complexity so that humans can simplify it. 

 
 

Design that reflects how people work

 

Once organizations have a clear view of lived experience, the redesign process becomes more powerful. Real employee journeys become the blueprint, not system documentation. Reimagine workflows with clarity and speed as the North Star. Test designs with real employees before configuration changes are ever made. Ensure global consistency without creating unnecessary rigidity.

 

This is the moment transformation becomes real, as employees see that the system finally reflects their day-to-day reality. When that happens, something else shifts. Adoption rises organically. Support tickets fall. Compliance strengthens as workflows become obvious instead of confusing. Managers trust the data because it reflects the real world, and HR regains the capacity to focus on strategic priorities instead of operational firefighting.

 

“We’ve seen support tickets drop by 25% after redesigning workflows based on real employee journeys,” said Grant Thornton Business Consulting Partner Vlad Anichkin.

 

“The biggest win isn’t just efficiency,” Anichkin said. “It’s hearing managers say, ‘The data finally feels real, because it reflects how we operate day to day.’ That’s when you know the transformation is real.”

 

Metrics that reveal meaningful change

 

In a people-first HCM transformation, measurement moves beyond traditional system metrics. Yes, process cycle times and first-pass accuracy still matter, but so does the effort required, the drop-off moments, the emotional highs and lows captured during redesign, and the signals from employees at scale.

 

The organizations that lead in this space focus on the metrics that reflect human experience, not just system performance.

 

The real outcome is a system designed for humans

 

When done right, a human-centered, AI-accelerated HCM transformation goes beyond improving processes to restore confidence, culture and clarity. It changes HCM from something employees have to use into something that helps them do their jobs better and faster.

 

Most importantly, it creates a system that works with people, not against them.

 

Transformation cycles are accelerating, and employees expect enterprise tools to provide the same simplicity as their consumer apps. Organizations can no longer afford HCM systems that work as systems, but not for the people.

 

The real power of your HCM isn’t the technology, it’s the people who use it. Empower them.

 
 

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Austin, Texas

Industries

  • Technology, Media & Telecommunications
  • Healthcare
  • Manufacturing, Transportation & Distribution
  • Not-for-profit & Higher Education

Service Experience

  • Advisory Services
  • Business Consulting
 

Dallas, Texas

Industries

  • Asset Management
  • Banking
  • Life Sciences
  • Technology, Media & Telecommunications
  • Manufacturing, Transportation & Distribution
  • Construction & Real Estate

Service Experience

  • Advisory Services
  • Operations and Performance
 

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