An organization’s success is largely determined by the productivity of the employees. One of the factors that have an invariable effect on employee productivity is employee engagement and satisfaction.
Over the years, the ways to achieve these have changed. Different companies have different ways of measuring, assessing, and determining the health of their employee experience.
Even today most organizations use outdated methods such as employee reviews or engagement surveys. However, few forward-thinking organizations have started tapping into tools that offer more valuable and more frequent information. Artificial Intelligence(AI) is one such important tool.
As you know, in today’s global world the workforce is made of geographically diverse employees. A common issue here is the difficulty in having a personal touch with the employee experience.
AI will help to address this issue. AI can also transform the environment inside the workplace by affecting employee interaction, performing critical tasks, and even receiving notifications.
Now that we have got a fair idea of how AI-enabled workplace work, let’s explore the 6 ways in which AI can significantly improve the employee experience.
1. Generating Insights
A key benefit of artificial intelligence is its ability to derive meaningful insights from large volumes of data. With AI and ML-based applications, organizations can make use of the information received from Big Data. This information is mostly employed to generate more sales. However, they can also be used to create more happier and productive employees as well.
One example of how AI is used to generate meaningful insights is how some organizations tie together multiple feedback and communication systems and apply natural language processing (NLP) to them to easily and quickly measure employee sentiment.
Thus, with the help of a tool such as AI which can analyze the type of language including emojis, email signature, and phrases, that employees use for their communication purpose, an AI-powered tool will be able to start understanding team trend with time.
AI can improve the employee experience by automating repetitive tasks that are tedious or require a high level of precision. This is one example of a good way in which human workers can be substituted with AI.
One of the reasons for this is that there are some kinds of tasks which machines can perform much better than humans.
Some instances of AI performed automation include identifying ways to improve how processors or information work. What this means is that just like how customer journey orchestration works with external customers, companies will be able to automate the information flow from one system to another system internally as well.
In this way, AI will ensure that information can be accessed/seen fast and that things like employee feedback are utilized much more easily.
3. On-the-job Training
As you know, learning does not stop once the employee settles into their job role. AI is going to play a critical role in ensuring that employees continue to learn even while they are in the job.
Artificial Intelligence will also help with transferring skills from one generation to the next – as employees retire or join other companies, AI can ensure that they leave behind the invaluable expertise they have gained for others to gain from as well as take it with them.
For example, Honeywell, a multinational company has developed tools that employ AR and VR along with AI for capturing the experience of work and for extracting insights from it that can then be transferred to new employees. In this, employees, while they are working, wear AR headsets.
These can capture everything that the engineer does with the help of image recognition technology that enables new employees to get an experience of their job role through VR.
The information from the video image is also employed to develop AR tools that offer real-time feedback while engineers carry out their job, alerting them when their danger or setting reminders regarding their routine tasks.
4. Recruitment & Onboarding
AI-enabled machines can help you to zero down the right candidate for the job. A common practice in large companies where there are thousands of applicants involves pre-screening of candidates with the help of AI.
With Pymetrics, which provides tools that use a series of games driven by the principles of neuroscience, employers can assess the candidates before they are called in for an interview.
Pymetrics works by analyzing the emotional and cognitive features of the candidate while at the same time ignoring any kind of demographic biases based on their race, socioeconomic status, or gender. This is carried out by matching the candidate’s performance against that of an existing employee who has performed well in the job role that is being recruited for.
When the AI-enabled system finds that a particular candidate is not a suitable fit for that job role, it will automatically identify another role that they are suited for and recommend them to apply for that job role.
Chatbots enabled by AI are the new rage when we talk about onboarding. This would be a great tool that can help new hires to settle into their roles and adjust to the different facets of the organization that they have joined.
Let’s take the example of Unabot, a chatbot employed by multinational consumer goods manufacturer Unilever to understand the use of chatbots in onboarding. Unabot uses natural language processing(NLP) to respond to employee queries in plain human language. Employees can get information on everything from how to handle their HR and payroll issues to where to catch their shuttle bus to the office.
Is there a way you can offer every employee a personalized experience? Yes, there is. With artificial intelligence, you can take your data and match it with your employee’s preferences or some other contextual details to create a personalized experience for them.
AI can enable personalization for employees in several ways. One such way involves clubbing employees into segments at big companies or providing very specific messaging and communication when needed. Other than segmenting based on title or department, it is more intelligent when processing is driven by interests or communication preferences.
For example, with AI you can easily identify employees with specific characteristics that make them the perfect match for leadership opportunities. You might also be able to identify the complementary skill set within your team which can help you to create new working groups. This becomes critical when you are working with a geographically diverse workforce, employees spread across countries, and with work from home kind of policies. AI can aid you in all this.
6. Workplace Surveillance
A survey found that more than 50% of companies with a turnover above $750 million employ digital data-gathering tools for monitoring employee performance and activities. This also consists of analyzing the email content to determine employee engagement and satisfaction levels.
There are also certain companies today that use tracking devices to determine the frequency of breaks and use audio analytics to monitor the stress level invoices when the employees communicate with each other.
For example, Blizzard Activision, a video publishing company recently announced their plans to give incentives to employees who allow the company to track their health through specialized apps such as Fitbit. The idea behind this is that the company will be able to anonymous, aggregated data to determine the areas where the health of the employees as a whole can be enhanced.
These are some of how AI can transform organizational experiences today. Though the application of AI in the workplace is not very common today, the increasing frequency of research in this area suggests that shortly AI-enhanced workplaces are going to become the trend!