Introduction
AI tools are no less than a technological revolution in the Human Resources ecosystem. Many of us wonder if we can crack it and streamline the workflows and processes again or not. In the midst of that, when HR professionals have the right training, systems, processes, and guidance in place, they can really make their daily HR tasks easier and simpler to handle. In fact, most HR professionals can automate their work, boost their productivity with 2x speed, take required breaks in between to reenergise and stay hyper-focused on mission-critical tasks. To be able to do all that and not fret anymore over the AI revolution, HRs can depend on secure, encrypted, and easy-to-use apps like uKnowva.
I will be explaining a bit about HRMS tools like uKnowva, which is empowered with new-gen AI and EI tools to simplify HR tasks. So, I highly request you to continue to read the post below.
4 Ways to Simplify HR Tasks with AI Tools
1. Generate job descriptions within seconds
AI tools like AI Suggest help HRs create an expansive list of job roles and duties. They no longer have to go on the web, search for hours, and think again to shortlist the content. Instead, AI tools make HR smarter within seconds of the work. The AI tool provides HR with a detailed list of job roles and duties with a click of a button.
HRs will start using such generators when they are hiring in bulk and have a limited idea of the quality of the roles to lock.
2. Generate a complete KRA template for the deserving employee
HRs or reporting managers can generate a complete KRA template, including KRA tasks and core competencies. The tool also shows the average weightage to be given to each task and the quality of the deserving person. Such GenAI tool will suggest all such components assigned to a job role or designation by scraping the information fed to the GPT algorithm or module it runs on. Nonetheless, it has a higher accuracy to generate the most relatable KRA template so that reporting managers can complete the performance evaluation forms within seconds for various team members.
3. Get the list of top skills you need to find in the next top candidate
HRs might not always know what skills they have to find in their next candidate. The requisition manager may not always be available, but that mustn't stop HRs from locking a position or shortlisting a CV. Therefore, AI tools like AI Suggest bring the revolution into the system by generating 5-10 skills that HRs can find in the CVs and parse the CV with CV Parser to further reduce the time in collecting and shortlisting the most fitting resumes within seconds or minutes. The combination of CV Parser and AI Suggest helps HRs boost their 15 hours of productivity and business process moderation within 15 to 60 seconds.
4. Ask the right questions to the shortlisted candidate
HRs often are involved in multiple activities. Now imagine what happens if they have to interview 100s of candidates for multiple roles. The recruiting managers go bonkers at times and need breaks, which can disrupt their workflow.
Thus, it is important for recruiting managers and HR executives involved in the talent hunt to shortlist the best set of questions on time, even for multiple job posts and positions.
How do they do it without getting overwhelmed or wasting their time in an endless loop of follow-ups and approvals?
The best alternative here is to do that with GenAI tools like AI Suggest. These tools help recruiting officers and managers generate a handful of questions to ask the candidate within seconds. Now, they save hundreds of hours of manual work and focus only on communicating better with the candidate and hiring the best fit out of the lot.
Conclusion:
AI tools are definitely reshaping the way HRs or recruiters hunt, shortlist, and onboard the right talent. Today, I feel HRs need not be scared or worried about AI intervention in HR. Rather, it's an amalgamation of AI with human intelligence. So, HRs must continue to streamline their hiring to retiring processes with AI tools and not be afraid of the outcome as it will be 10x better than manual efforts, which might induce errors even in critical missions related to talent acquisition, management, and development.
