As organisations in Asia navigate the evolving landscape of work, the integration of AI-driven algorithms in digital workplace applications is set to revolutionise employee productivity. Gartner predicts that by 2028, over 20% of digital workplace applications will leverage AI-driven personalisation algorithms to create adaptive experiences tailored to individual workers.
A recent Gartner survey of 5,141 employees revealed a concerning statistic: only 23% of digital workers are completely satisfied with their work applications, a notable decline from 30% in 2022. This dissatisfaction poses a significant barrier to productivity, as digitally engaged employees who are satisfied with their tools are nearly three times more likely to report being much more productive than their dissatisfied counterparts.
Call for urgency for improvement
“The apps used for work should feel as intuitive and empowering as the most popular consumer apps. That’s exactly what employees are craving—a seamless, personalised, and omnichannel digital experience that mirrors the ease and consistency of mainstream consumer applications,” says Tori Paulman, VP analyst at Gartner.
She points out that over the past decade, the gap between consumer and enterprise app experiences has widened. Many workplace applications remain isolated, inconsistent, and rigid, leaving much to be desired in terms of user experience.
To enhance workplace applications and bridge this gap, technology leaders should consider five key actions:
1. Implement best practices
Focusing on AI-driven personalisation within workplace applications is essential. Tools should analyse work styles to provide personalised insights, prioritise tasks, and automate workflows, all tailored to enhance productivity.
2. Ensure transparency
Organisations must communicate clearly how digital workplace algorithms function, adhering to ethical guidelines. This includes detailing decision-making processes and implementing robust data privacy and security measures to protect employee information and foster trust.
3. Prioritise key outcomes
Identifying critical business goals, such as improving customer service first-call resolution, is vital. Leaders should determine which employee roles will benefit most from AI-driven personalisation and explore how adaptive user experiences can reduce friction and enhance productivity.
4. Define clear requirements
During vendor selection, it is crucial to prioritise applications that feature AI-driven adaptive user interfaces and personalised task management, ensuring tools are intuitive and effective.
5. Monitor and adapt
Regular assessment of the effectiveness of AI-driven personalisation is necessary. Gathering employee feedback and making continuous improvements will ensure these tools align with evolving employee needs and organisational objectives.
Paulman concludes, “In the realm of digital workplace applications, these algorithms can be game-changers for productivity by understanding and observing workers’ behaviour, preferences, and past interactions to provide crafted recommendations.” By leveraging AI-driven insights, organisations can streamline information, prioritise tasks, and automate workflows, ultimately saving time and simplifying core work processes.
As HR leaders in Asia look to the future, embracing these AI-driven applications will be crucial in enhancing workplace productivity and ensuring employee satisfaction in an increasingly digital world.
