To unlock value, think process, not task

Debate over the use of artificial intelligence in HR tends to split between breathless optimism about how it will lead to a world of total automation and equally fervent pessimism about AI’s potential for destroying intellectual property and meaningful work.

 

A closer look suggests that while the optimists and the pessimists each have a case, the most immediate issue HR leaders face is how to integrate AI effectively. The Hackett Group’s 2026 HR Key Issues Report has found that although 81% of HR leaders understand the value of intelligent technology, a majority (59%) admit they lack a road map for adoption. Most continue to struggle to gain more flexibility, resilience and AI support skills, leaving a wide gap between intent and execution.

 

But this is changing.

 

Today, leading organisations are using AI to do more than automate tasks. They have fundamentally reimagined how work gets done by identifying which processes have the greatest potential for transformation with AI and then investing in redesigning those highest-value operations.

 

By redesigning end-to-end hire-to-retire processes and operating models, they are freeing up time for more value-added projects while creating structural advantages in talent acquisition, workforce development, organisational agility and business performance that go far beyond traditional digital transformation. 

 

The size of the opportunity is considerable. In recruiting, for example, companies that redesign end-to-end processes around AI-enabled execution can achieve up to 61% lower recruiting costs per hire, 119% greater recruiter productivity, and 57% faster time-to-fill.

 

Five simple rules

The good news is that, conceptually, this effort is not complex. The AI World Class benchmarks point to five simple precepts for process-led AI transformation: 

1. Think big but start small. The best-performing HR teams are thinking about bigger, end-to-end transformation, then tackling their function process by process with small project teams supported by the right technology and scalable architecture. Such targeted programmes can have transformational results: Johnson & Johnson’s AI support platform delivered an estimated 200%+ ROI over three years, while Intermountain Health, by rethinking talent acquisition end-to-end, cut time-to-fill positions from 65 to 35 days and generated cost savings of more than 2,000%.
2. Cherish your data. The Hackett Group’s 2026 Key Issues Study found that data quality is the single most frequently cited barrier to realising value from AI in HR, ahead of even talent shortages and regulatory concerns. Not surprisingly, AI World Class HR teams have made data quality a focus. They know that without a single source of truth and consistent data standards, AI will simply reflect and amplify existing inconsistencies. Strong data standards, standardised HCM infrastructure, and a single source of truth for workforce intelligence are all key competitive differentiators that are just as important as the AI tools deployed alongside them. 
3. Move up the value chain. Human beings remain a critical resource in an AI-enhanced HR function, but the roles they play change. HR leaders at AI World Class organisations are spending less time simply keeping the wheels turning and more time on strategic planning and decision-making. Legally and ethically, where outcomes affect livelihoods (such as questions of pay, promotions, disciplinary action and termination), accountability will demand that humans remain in the loop.
4. Work as a partner, not an order-taker. We are finding that the most significant difference between top-performing HR leaders and laggards isn’t technological; it’s cultural. Currently, 38% of HR executives see a lack of executive sponsorship as a key barrier to further AI adoption. This suggests that HR will need to be a leader in this change, not a follower. It will mean dealing simultaneously with more demanding, data-literate business leaders while keeping employees engaged and motivated. 
5. Pick your pathway. AI interventions should be targeted and considered through the lens of solving business problems, rather than applying technology indiscriminately across all areas. Leading organisations are making nuanced trade-offs, not blanket moves towards automation. Particularly in these transitional years, the winning companies will be those that design processes that eliminate bottlenecks, not create new ones. 

The lesson extends beyond HR

The lesson emerging in HR is not unique. The same pattern is playing out across the enterprise as organisations move beyond questions about AI adoption and focus instead on generating measurable business impact from these technologies.

 

One recent MIT study, for example, has found that organisations greatly improve the value they get out of their AI initiatives when they find ways to rethink entire processes rather than automating individual tasks, keeping their eyes on the big picture.

 

Researchers at the MIT Sloan School of Management found that the most meaningful gains happen when AI implementation focuses on process improvements rather than improvements to isolated tasks, because each handoff between person and machine adds friction. As MIT researcher Peyman Shahidi put it in a recent article, reaching the full potential of AI is “not about how I’m going to introduce AI in my existing workflow. It’s about how I can redesign my workflow in such a way that is more AI-friendly.”

 

The real lesson here is that AI in HR is not a technology race so much as a test of judgement. The best teams are not chasing automation for its own sake; they are deciding where intelligence, data, process discipline and human accountability can combine to make the function more effective. That requires HR leaders to look beyond individual use cases and ask how work should be redesigned, where people must remain firmly in control, and how the function can become a more confident partner to the business. Done well, AI will not diminish HR’s purpose – it will sharpen it.

 

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David Gibbens is HR Applied Intelligence Lead for Europe at The Hackett Group®

 

Main image courtesy of iStockPhoto.com and MF3d