AI in HRMS has the right capabilities to revolutionise HR roles and workforce autonomy. The AI features must integrate with digitally transforming solutions, to begin with. The best example here is the uKnowva HRMS.
The tool is highly flexible, with complete competency and capability management levels to automate and streamline.
Read the blog copy to know more. See howHR technology in the uKnowva HRMS is reshaping HR roles and responsibilities.
HR teams do not invest their man-hours in complicated activities if the HRMS can automate the same. That is whereAI in HR becomes more useful. The predictive modelling in the HRMS helps judge which activity to automate.
Admins connect with DevOps or their in-house developers. They use the uKnowva extension store plugins. Otherwise, they develop special plugins to streamline certain activities for employees to optimise their efforts.
Thefuture HR roles and responsibilities are more critical and strategic. HR teams have to gauge and forecast talent shortages on time. The uKnowva recruitment engine insights help predict these numbers.
HR teams can then indulge in more effective workforce allocation activities internally.
This saves their cost to hire new people who demand repeated training and development sessions. Those could be time-consuming when crucial projects are nearing the deadline.
It is more effective to shift existing employees if they have the required skills and time. But it depends on companies and their people management policies. Some positions could not be replaced or shifted with existing staff.
A new hire must be there. This confusion clears out with the AI in HRMS. The system discerns the workflow and workforce from the first point to the last in the process. Only then does it recommend rotations in shifts for internal employees.
Hiring and scouting for new talent are super-efficient with theuKnowva recruitment engine. It has automated features to read, scan, and parse CVs in bulk. This frees hiring managers time to work on ATS instead of shortlisting CVs for hours.
These automated features help HRs to create an internal talent pool and job portal. Scouting for new talent will be easy from the next time as necessary CVs are stored in the system.
HRs would no longer have to look elsewhere when they already have a pool of selected and potential candidates. They can automatically follow up with them using the system-generated invitations and reminders for job openings.
The uKnowva recruitment engine enables hiring managers to enter the right keywords for crawlers to parse CVs accurately. This quickens multiple stages of selecting and shortlisting candidates fit for the job and company culture.
Hiring managers do not worry about manipulation and negligence. The system is free from these humanised faults.
ThisHR tech helps HR teams scouting andhiring a skilled workforce from day one to the last. When they hire right, the culture becomes more favourable and sustainable for employees later on.
One of the most skilfulHR trends which AI in human resource management helps to execute is this one: learning and development of existing employees.
TheuKnowva performance management system will highlight the best digital skills to impart to your teams. These recommendations depend on your employees’ current skills, completed projects, and predefined goals.
It will help employers to implement more productive succession planning techniques for their teams. Employers keep staff happy with on-time and advanced forecasting for new training modules.
Employees feel lucky and connect deeper with their roles and responsibilities. That happens when they learn and develop new skills without asking for the same first.
The system will allow mentors or guides to upload new, revised, refreshed, and free modules.
It will show how many employees are currently learning and the number of workers who completed the training.
The data assembles for each such activity at the backend. Hiring managers and CHROs read these insights to know the effectiveness of their hired staff.
AI in HRMS has another functionality that uKnowva HRMS meets. That is using chatbots or virtual assistants for answering generic queries of candidates.
You can avail of this function by seeking a DevOps team to make the adjustments in your firm’s career portal.
These chatbots can also answer general employee queries. Using this feature will free HR and other leaders’ time. They won’t sit behind the screen, waiting for random queries to pop up.
The chatbots store necessary interactions with employees and outside stakeholders. This data is important for further making strategic decisions discussed later. More importantly, chatbots make the system more self-serving and autonomous.
It removes employees’ dependency on another human for addressing the most common system or process queries. Dedicated and automated chatbots transfer the query to a real human after failed attempts to resolve the raised query.
This process ensures that each person gets the right query to resolve without wasting time.
Another important function ofAI in HR includes assembling and studying employee data. CHROs and their teams effectively and strategically decide after evaluating their employee data.
The uKnowva HRMS provides HR analytics and a live reporting system. Admins and C-suite leaders access this data whenever needed.
Their auditing, evaluation, and decision-making skills improve gradually by studying accurate system data.
These people know possible retention, engagement, and attrition rates. Then theHR analytics helps them address daily business problems with data-based solutions. This works in every HR duty and role.
That can be for:
Another smarter way forAI in HRMS is to allow HRs to free their time. They utilise it by checking up on their people realistically. They catch up with their teams and indulge in team-building and -bonding activities.
The more humane the HR and workflow management, the greater will be the retention score. The automated tools in the uKnowva help the team to complete tasks without investing extended hours.
AI in HRMS revamps the roles and responsibilities of HR and their teams daily. The uKnowva HRMS solves complex daily issues with transparency, predictive, prescriptive, and descriptive analysis.
It makes the corporate culture comprehensive and agile to welcome new technological advancements.
Contact us here for a demo.
With the emergence of equal employment opportunities, recruiters scout the right talent with AI-backed strategies. Otherwise, meeting the changing skill-based hiring needs becomes more challenging and time-consuming.
That is whyAI in HRMS is a lucrative venture for recruiters to execute and trust. The uKnowva recruitment engine has all the necessary capabilities to assist recruiters in finishing their job hunting approaches flawlessly.
Refer to the copy below and evaluate how such capabilities rescue recruiters from wasting time. Later, these help in driving essential business growth while employees and job applicants receive favourable experiences throughout.
One of the interestingAI for recruiting trends to implement is hiring hackathons. It helps recruiters amass a larger talent pool within a certain cost over a period.
They later use the analytical reports to shortlist as many candidates as possible from this circulated talent pool.
This talent pool after completing a hackathon will be effective. Most of the selected candidates in the hackathon perform tasks given by the moderators.
If they complete tasks on time, job applicants have the right skill, temperament, and knowledge for the job.
Plus, recruiters can overview the total CVs received and their assessment sheets in one interface. Afterwards, the HR analytics assists them in evaluating the productivity level of each participant.
This way,artificial intelligence in hiring drives more traction from outsiders. This even reengineers the external branding of the company. That happens because candidates from multiple countries participate in virtual hiring hackathons.
This strategy is closely aligned with skill- and talent-based hiring processes. The uKnowva recruitment engine makes it smooth by integrating the portals from where applicants apply.
AI in HRMS changes how recruiters scout, hire, and deliver promises to job applicants. With the involvement of chatbots and automated helpdesks, recruiters ensure to resolve all queries candidates put forward.
Resolving each doubt and query helps firms to give their next hires the best experience possible. That is important even for the first point of contact. It creates a lasting impression on the outsider that will help arouse their interest in the culture.
Candidates often ask blunt and open questions to chatbots. Transparency and honesty are what recruiters attain using these bots. Such tools are available 24/7 on the job portal or the company’s career portal.
So, any candidate can ask questions from these bots in their favourable time zones. There wouldn’t be a delay in addressing and answering important concerns regarding the current job openings.
It will help companies automatically connect with employees without being physically present or online (at odd hours). The uKnowva HRMS boostsartificial intelligence in hiring for installing chatbots, teaching them language processing skills at every interaction.
Managers see reports at the back of the system generated from these interactions. They have a real and accurate report to gauge the effectiveness and proactiveness of these bots.
The system can calculate the total number of resolved queries, even those increasing in more clicks to job vacancies. Withadvanced techniques, the DevOps team can track click-through rates generated from these bots.
It enables them to enhance these bots’ intelligence and give a delightful experience to each job applicant. Impressed candidates are more interested in exploring the company and job profile to speed up the application process.
AI for recruiting requires employers to set up the right assessment plans for a job role. Each question can be tried and tested within the system first. Later, the applicant tracking system in the uKnowva HRMS discerns queries like:
These questions are very basic ones. As the job grows more complicated and in length, so might the assessment.
The uKnowva recruitment engine shortlists candidates based on these assessments too. The entire process will be automatic, triggered based on certain actions:
In any case, the shortlisting from the backend triggers. The system also sends these candidates timely alerts to complete the assessment to increase the chances of selection.
To boostartificial intelligence in hiring, recruiters must set up a transparent and streamlining process. They can discuss focal points of automation with their seniors first.
Later, they can set up triggered actions and responses in the uKnowva recruitment engine.Automating pre-boarding to onboarding speeds up the hiring and talent scouting process.
There will be a shortage of talent in the firm. Recruiters can hire and take onboard the right people without bias at the appropriate time. Streamlining the pre-boarding to onboarding process helps overcome usual bulk hiring challenges and shortfalls.
With a predefined system and automated actions, recruiters must monitor the initial stages.
The uKnowva recruitment engine helps them publish job openings to various integrated portals at once. There’s no need to switch tabs or interfaces when using the uKnowva network system.
TheAI in HRMS of this tool also recommends the right time to hire new talent. It gives recruiters alerts and hints before shortages arise.
Partner with effective and useful job posting sources/channels.
Another effective initiative forAI in recruiting the right and the best talent is to partner with fruitful channels and portals. Manually this is hard and time-taking to judge the essentiality of a job portal or channel.
But as recruiters hire from different sources for the first time, they enter details in the system. The AI at the backend starts to churn, explore, and integrate this data with actively registered users’ information.
It won’t take long for the system to start recommending it. Soon enough, it will highlight the talent scouting channels for job-fit and future-fit candidates.
These automatic recommendations are reliable and entirely assembled from the data existing in the system. Implementing these recommendations help improve employee retention and productivity scores in the long run.
TheAI in HRMS improves your workforce productivity in the long run with the steps mentioned above. To leverage those processes, you need to implement a smarter workforce management tool, that is, uKnowva HRMS.
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