FUTURE TECHNOLOGY
Enhancing workplace insight with Erudit ’ s AI
Alejandro Martínez Agenjo , Co-founder and CEO of Erudit , explains how Artificial Intelligence can create actionable insights that improve the workplace culture and enhance employee experiences .
The main benefit of Artificial Intelligence is in automating tedious tasks , allowing us to focus on what matters . In the case of HR , that ’ s improving the employee experience , work culture and preventing turnover . But can AI help us better understand human sentiment , drivers and behaviours ? How about saving HR teams from the headache of designing , conducting and analysing surveys ? Or is that too much to ask ? According to Alejandro Martínez Agenjo , Co-founder and CEO of Erudit , going surveyfree is finally within reach .
“ Surveys are outdated methods and can no longer be considered proficient ways of collecting data . We believe our approach is more efficient , more effective , more inclusive and less biased ,” said Agenjo .
How AI is used to support HR
The future of HR technology is already here ; and it ’ s being fuelled by Artificial Intelligence and Machine Learning technology . AI technology in the HR field is normally used to automate and streamline tasks , such as hiring , onboarding and employee identification . AI is also used to analyse employee performance .
HR analytics helps
HR and business leaders make better decisions based on data and facts , instead of relying on intuition alone .
When it comes to sentiment analysis , AI is being used to automate the survey process , aggregate results and helps with the analysis . For example , AI can identify key factors that impact employee engagement and retention , and forecast talent supply and demand . Still , the quantitative data source when it comes to the sentiment and wellbeing of employees remains survey data . Erudit goes a step further and uses organic , real-time communications data as its data source and has AI technology at the core and centre of the solution .
“ Erudit ’ s AI sifts through textual communications data to serve you actionable people metrics , analytics and insights . For example , you ’ ll get each team ’ s daily engagement levels and burnout risk . Every month , you ’ ll get a report that helps you understand the needs of every department and how they are doing . Plus , you get to dig into the reasons why ,” Agenjo explained .
“ All the people analytics are anonymised by the AI so you can make unbiased decisions based on organic , instead of survey data . So managers never see messages or names , they only see the insights that will help them improve their management style and better support their team members ,” he added .
An AI trained by psychologists
The AI was initially trained by psychologists ,
data scientists and Machine Learning engineers to anonymously detect and measure levels of engagement , burnout risk ,
Erudit ’ s AI sifts through textual communications data to serve you actionable people metrics , analytics and insights . For example , you ’ ll get each team ’ s daily engagement levels and burnout risk .
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