Discover how HR leaders can build an AI impact portfolio that doubles HR productivity by 2027 while deliberately protecting the human moments that matter most
AI offers a significant opportunity to accelerate process efficiency and elevate decision intelligence. This should be a defining moment for HR leaders, yet many lack clarity into where AI creates meaningful impact across the HR process landscape.
This limits their ability to decide which workflows require redesign, which roles need to evolve and how HR service delivery will shift to ultimately build the strategy needed for an AI-informed HR transformation.
A recent Gartner survey shows that 72% of HR leaders recognise reinventing workflows is essential to unlocking AI-driven productivity. If done right, Gartner predicts AI enabled HR functions will be twice as productive than those that aren’t by 2027.
The key to understanding AI’s transformative potential is to recognise the degree and nature of its impact. While AI can accelerate efficiency and decision intelligence in many processes, others will rely heavily on human-led value.
HR leaders can start by organising HR processes into an AI impact portfolio with three distinct groups: AI transformational processes, scalable AI opportunity processes and human-led value processes.
Together these groups highlight where AI creates the strongest value, where it delivers limited gains and where human-led value should be preserved. This will establish a sound foundation for AI-informed HR transformation.
AI transformational processes
Strategic workforce planning, talent assessment and selection, HR helpdesk and first level support are some of the strongest starting points for AI adoption. These are processes where AI can fundamentally reshape the work by automating repetitive tasks and strengthening decision making with data driven insights.
Assessing whether a process truly requires a redesign and whether an overhaul would meaningfully improve current performance is a great place to start. The broader implications of change must be considered, such as the potential impact on roles, responsibilities and the capabilities employees will need.
By focusing on the areas where early success can generate visible momentum, HR leaders can deliver quick wins and build confidence regarding the use of AI across their team.
Equally important is ensuring the organisation can support the disruption that comes with transformation. Strong cross team partnerships and clear alignment go a long way to creating momentum and broader adoption across an organisation.
Scalable AI opportunity processes
AI is particularly effective in streamlining processes tied to workforce data, document and skills management. These areas have already proven applications of technology, making them highly scalable for operational improvement.
When implemented, AI can reduce friction and unlock meaningful efficiency gains by removing manual effort, increasing accuracy and speeding up routine activities.
To determine where automation will have the greatest impact, look for areas of work where manual tasks are slowing progress or creating unnecessary cost and delay.
At the same time, AI is transforming the quality and speed of decision making across the HR function. In areas such as hiring needs identification, performance management and managing the employee experience, the value of AI is in the insights it can share.
By improving consistency, revealing patterns that humans may miss and enabling more predictive, forward thinking, HR leaders can leverage AI generated data alongside human oversight. This has the potential to significantly elevate talent outcomes, especially in areas where traditional approaches rely too heavily on human intuition or incomplete data.
Human-led value processes
There are some parts of the HR lifecycle where HR leaders should actively seek to elevate the human value proposition. Onboarding new team members, employee relations and company culture are all examples of where personal interactions can have lasting positive impacts.
Conflict resolution and values alignment are also reliant on a considered and effective human approach. These are domains where empathy, trust and relationships are forged, as well as where employees and leaders expect individual interactions.
To avoid misplaced AI investments and to uphold employee wellbeing standards, HR leaders must identify moments that require human judgement and a people first approach.
As AI adoption accelerates, HR leaders must balance how to maximise its value while preserving the human elements of work. The most effective HR leaders won’t take a blanket approach but will use AI with intention and precision in the areas the technology is needed most.
Seyda Berger-Böcker is a senior director analyst in the Gartner HR practice. Her focus is on HR benchmarking and how organisations can drive HR transformation.
