Adapting to
Emerging HR tech
With the evolution of AI/ML in every sector, HRtech is also catching up with the evolving needs of the market. Here’s how our platform is making recruiters future-ready.
Making recruitment process efficient: AI-based HR talent technology can read between the lines so as to supplement the “recruiter’s gut feel” based decisions making recruiters and hiring managers feel more confident and avoid recruitment bandwidth, time and money wastage
Automating employee onboarding: AI-based HR technology can automate the employee onboarding process by helping HR teams to quickly and accurately assess, background verify and process new employee paperwork. This can save companies time and money by reducing the need to manually review large numbers of documents.
Improving employee engagement: AI-based HR technology can be used to analyse employee engagement data and provide insights into what is driving employee engagement. This can help companies identify areas for improvement and develop strategies to increase engagement. Mapping this with psychometric heuristics and sentiment analysis can be a great tool to get the desired results.
Optimising and understanding employee performance: AI-based HR technology can be used to analyse employee performance data and provide insights into what is or isn’t driving performance. This can help companies identify areas for improvement and develop strategies to increase performance. Digital empathy is the need of the hour and which can be only achieved by hyper personalization within the work-place.
Automating payroll and benefits administration: AI-based HR technology can be used to automate the payroll and benefits administration process as well as maximising the dollar spend basis utilisation. This can save companies time and money by reducing the need to manually review large numbers of documents.
Hiring
for Scale
While we ensure no kind of data or developer bias creeps in, we use AI and Machine Learning to help us give signals and data points to help make informed decisions.
Using psychometric linguistics, psychography, computational psychometry heuristics along with gamified cognitive skill analytics and tons of AI and ML models to assist recruiters and hiring managers prioritise their hiring pipelines.
Using predictive analytics we are also able to assist human Interviewers during the Interviews in process, flag signals which may lead to compliance issues for the organisation, etc.
Apart from the usual stuff such as Artificial intelligence and machine learning can facilitate an efficient hiring process by automating and streamlining many of the manual, repetitive tasks associated with the process. For example, AI-powered recruitment tools can quickly scan job descriptions, resumes and other documents to find the best candidates based on predefined criteria. AI-based algorithms can also be used to search and match job seekers with job openings, as well as predict future job performance given the current version of the team the candidate will be a part of. By reducing the amount of time spent on manual tasks, AI can help recruiters create a more unbiased, meritocratic, efficient and streamlined hiring process.
DEI in
Workforce
With more than 3 in 4 job seekers and employees giving higher value to diverse companies, we ensure that our platform provides the right tools to facilitate unbiased hiring and ensures DEI practices are in place.
Since companies that have diverse and inclusive workforce outperform their competition by 35%, it is safe to assume that DEI not only empowers the employees by ensuring their productivity and wellbeing but is also a good business practice for employers to stay ahead in the market.
With only a few organizations using technology to drive DEI, we have a huge market that fails to do so due to lack of either data or understanding to do so. Hence, with our platform, we ensure that DEI practices are embedded as a part of the recruitment process to facilitate and accelerate employers’ DEI journeys.