Plek blog

Can AI improve employee engagement?

Five promising possibilities of AI in Digital Engagement Software

Are you tired of always having to search extensively for important information at work? You're certainly not the only one. Many companies, especially where there are many knowledge workers, have problems with their information management. This causes staff frustration and puts a damper on productivity.

Fortunately, artificial intelligence (AI) provides an effective solution to these problems. By integrating AI into digital engagement software, organizations can significantly improve the clarity and accessibility of information, increasing both employee engagement and productivity.

In this blog, we explore how AI can transform your workplace by making information management more efficient. We dive into the capabilities of Plek's platform, enhanced with AI, and discuss both practical benefits and ethical considerations. Because while AI offers great opportunities, there's also an ethical challenge that we're sure to address when it comes to revamping your workplace.

Five ways AI improves your digital interactions

We see five key opportunities for the application of AI in digital engagement software:

1. Offer personalized content
AI enables digital engagement software to offer personalized experiences to individual employees. By learning from previous interactions and behaviors, AI can offer relevant content and communications that match each employee's interests and needs. This increases engagement by making employees feel recognized and valued.

2. Generating proactive insights
One of the most powerful capabilities of AI in digital engagement software is its ability to generate proactive insights. By analyzing large amounts of data, AI can identify patterns and trends that would otherwise remain hidden. This allows organizations to anticipate needs, predict trends and take timely action to increase engagement.

3. Real-time feedback and interaction
Using AI, digital engagement platforms can collect and analyze real-time feedback from employees on various aspects of their work experience. This feedback enables organizations to respond quickly to changing needs and concerns, fostering a culture of open communication and improvement. Moreover, AI-powered virtual assistants (AI chatbot) can support employees in asking questions, obtaining information and solving problems, increasing engagement and productivity.

4. Predictive analytics to predict trends and behavior
By using predictive analytics, organizations can predict future trends and take proactive measures to increase engagement. By looking at historical data and employee behavior patterns, AI can predict aspects such as employee turnover, satisfaction and performance, allowing organizations to take timely action and preventive measures. 

Example: An HR department uses predictive analytics to predict employee turnover. By analyzing historical data on employee engagement, performance reviews and absenteeism, the AI identifies which teams are at high risk of turnover. Based on this information, it develops targeted employee development programs and wellness initiatives. This proactive approach helps your company take timely action, leading to increased employee satisfaction and retention.

5. Continuous Improvement
One of the most valuable aspects of AI in digital engagement software is the ability for continuous improvement. By continually learning from new data and feedback, AI algorithms can refine and optimize to ever more closely match employee needs and preferences. This creates a dynamic and evolving digital engagement experience that adapts to changing conditions and requirements.

Applications of Artificial Intelligence within Plek

Plek is an advanced digital engagement platform, and integrates Artificial Intelligence (AI) to improve various aspects of the user experience and increase employee engagement. 

We have five key functions at Plek that we want to improve while using AI. In doing so, we have chosen to do so in a safe and reliable way. For example, we limit the AI tool in terms of data: all questions and answers and data do not leave the proprietary secure platform. It is possible to use information from the outside world when formulating the answers, but the own data remains within the own domain. In this way we prevent data leaks and can guarantee that all conversations are 

1. Automated feedback processing and reporting (already available)
Using AI, we analyze the given answers of all employees who have conducted a so-called Smart Conversation. We then summarize the results into a limited number of personas based on the trends and patterns in employee feedback. On this basis, we generate overviews and analyses that help organizations to launch targeted improvement plans.


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2. Smart question and answer functionality (available in beta)
Plek uses smart AI search features to let users quickly find the information they need on the platform. By applying natural language processing techniques, the search function understands the intent behind the query and offers accurate and relevant results even for complex queries or searches. image (13)

The queries can be asked in any language, regardless of the language of the content, with answers also provided in the language asked. Our AI solution not only summarizes the answer, but also provides the answer with a link to the sources in which the answers were found.

The AI bot behaves like a real colleague. You can have 1-on-1 conversations with him, but you can also add this virtual collaborator to a group. That way, your questions and answers are instantly available to everyone. 

Would you like to participate in the beta test, where your feedback helps us to develop our product? Contact us today >>

Talk to our team

3. Personalized recommendations (in development)

Our AI tool allows us to provide personalized content and recommendations to individual users. By learning from employee behavior, preferences and interests, we can recommend relevant information, news items, events and discussions that match their needs and interests.

4. Automated content moderation (in development)
AI-driven content moderation in Plek helps enforce community guidelines and ensure a safe and respectful environment for all users. We use machine learning algorithms to detect inappropriate content, such as spam, hate speech and inappropriate images, and take appropriate action when necessary.

5. Predictive analytics (in development)
By using predictive analytics, Plek can identify trends and patterns within user interactions and engagement. AI algorithms analyze data such as participation in discussions, responses to posts and engagement at events to gain insights into employee satisfaction and well-being. These insights enable organizations to proactively respond to changing needs and trends.

Challenges in ethics in AI-driven digital engagement software

While the integration of Artificial Intelligence (AI) into digital engagement software offers promising opportunities, it also brings challenges and ethical issues that require careful attention.

1. Privacy and data security
One of the main concerns surrounding AI in digital engagement software is employee privacy and data security. The collection and analysis of personal information can lead to breaches of privacy and potential risks to the security of sensitive data. Organizations must be transparent about how they collect, use and protect data, and ensure they comply with relevant data protection laws and regulations.

2. Bias and discrimination
AI algorithms are prone to bias and discrimination, which can lead to unfair treatment of employees. If the training data of an AI model is not representative of the diverse population of employees, it can lead to biased decisions and unequal opportunities. It is crucial to monitor AI systems for bias and discrimination and take measures to minimize these effects.

3. Human control and accountability
Although AI systems are capable of making decisions autonomously, human control and responsibility remain essential. It is important that organizations understand the limits of AI and ensure that human judgment and intervention remain possible, especially in decisions that have significant impact on employees. Human values and ethics should always be at the forefront of the design and implementation of AI-driven digital engagement software.

4. Trust and transparency
To gain employee trust, transparency about the use of AI is critical. Employees need to understand how AI is applied in digital engagement software, what data is collected and how it is used to support decisions. By promoting open and honest communication, organizations can maintain employee trust and increase acceptance of AI-driven systems.

5. Continuous learning and improvement
The discussion of ethics and AI in digital engagement software is constantly evolving, requiring constant reflection and adjustments. Organizations must be open to learning from experience, take employee feedback seriously and continually adjust their methods to meet changing standards and expectations. Fostering a culture of ethical awareness and responsibility helps organizations harness the full potential of AI while protecting the rights and dignity of employees.

In short, the ethical challenges surrounding AI in digital engagement tools are complex but crucial to address while developing a more connected and engaged work environment. By taking these issues seriously and proactively addressing them, organizations can maximize the benefits of AI while ensuring the rights and interests of their employees.

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By integrating AI into various aspects of the platform, we enable our customers to create a more personalized, sophisticated and engaged work environment. The application of AI within Plek helps improve communication, collaboration and employee engagement, enabling organizations to achieve their goals and remain successful in an ever-changing environment.

Want to learn more about how we use AI at Plek to increase employee engagement?

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