Boost Employee Engagement: AI-Powered EX Solutions for Enterprise HR

The modern employee journey extends beyond initial onboarding, encompassing continuous professional development and a dynamic experience throughout their tenure. 

When AI was introduced to the workplace, it promised increased productivity and a scaling down of menial tasks for most workers. However, it has also increased notifications and messaging across various platforms, leading to a chaotic employee experience (EX). 

Companies must strategically integrate their HR systems with cutting-edge technologies, particularly AI-powered solutions, to truly transform EX. Various employee experience platforms (EXPs) have been introduced to alleviate the digital overload. They act as an all-in-one inbox for every notification, message, and other functionalities. At first glance, they may look like another layer to a Jenga-style HR tech stack, but their purpose is to simplify and keep workers on track. There is also pre-existing functionality in existing HR tech solutions that can enhance the employee experience.

What is the Employee Experience?

According to Great Place to Work, the employee experience is your staff’s entire experience with your company. This includes personal interactions, relationships with managers and other employees, engagement with company culture, and the technology they use to get work done. This experience starts with onboarding and ends when they leave your company.  

There are several key components of a good employee experience:

• Trust
• Credibility
• Respect
• Fairness
• Camaraderie
• Employee Pride

Human resources aims to design an engaging employee experience that allows workers to complete their jobs as efficiently and effectively as possible. The HR tech stack does most of the heavy lifting here. Most human resources departments engage the CIO/IT department to map out which tools will be most beneficial for getting the job done without overloading workers, and how to measure the adoption of those tools.

Integrating Existing HR and New Technologies

Your current HR tech stack forms the foundational layer of the employee journey. It usually includes Applicant Tracking Systems (ATS), Human Resources Information Systems (HRIS), and learning management systems (LMS). These systems hold valuable employee demographics, performance, skills, and career progression data. 

By ensuring that they are well-maintained and data is accurate, companies create a robust base for personalization. For instance, an existing LMS can track an employee's learning path, while an HRIS can provide insights into their career aspirations.

An employee experience platform (EXP) allows staff to access nearly everything they need from one dashboard. ServiceNow has an Employee Center, for example, that unifies apps, tasks, and communications from various channels and services. EXPs are typically deployed in enterprise-level businesses. ServiceNow was an early pioneer, but other tech giants like Oracle, Meta, and Microsoft quickly incorporated EXPs into their preexisting HR solutions. 

The next iteration of EXP involves incorporating generative AI to offer a more conversational experience instead of or in addition to the structured approach usually found in these platforms. This will allow employees to conversationally interact with their dashboards in the same way that they engage with AI agents such as ChatGPT or Gemini. Instead of replacing existing systems, these tools act as intelligent overlays, connecting disparate data points and offering a unified, personalized experience.

Personalized Onboarding and Continuous Professional Development

Imagine an onboarding process where an AI-powered EXP pulls information from your ATS and HRIS to automatically tailor a new hire's initial tasks, training modules, and even internal network suggestions based on their role, department, and expressed interests. This moves beyond generic checklists to a truly individualized welcome.

For ongoing growth, new technologies can analyze an employee's performance data (from existing HR systems or a workforce analytics solution like Prodoscore, skills gaps, and career goals to recommend personalized learning paths, mentorship opportunities, and relevant internal projects. Generative AI can even create customized learning content or provide on-demand coaching.

Successful HR Tech Deployment Improves Employee Experience

In the paper “HR Tech and Employee Experience: Exploring the Role of AI, Automation, and People Analytics in Modern Workplaces,” researchers explored whether adopting such systems improved the employee experience and performance. They found that: 

The conclusion noted that strategic implications and firm boundaries around AI bias were essential to obtaining favorable outcomes. AI bias in HR has received widespread attention, and most HR tech has built-in tools to safeguard against bias. However, humans must be involved at key touchpoints to build sufficient guardrails and ensure an ethical selection process. 

By thoughtfully integrating existing HR infrastructure with innovative EXPs and AI, companies can move beyond fragmented processes to create a truly personalized and seamless employee journey. This boosts engagement and productivity and demonstrates a commitment to employee well-being and growth, ultimately leading to a more resilient and high-performing workforce.

Measuring Success With Prodoscore

Prodoscore is a workforce analytics and employee productivity monitoring solution. It hooks into many widely used HR and other business productivity solutions to visualize time spent in tools, employee collaboration, and insight into activity.

Understanding utilization and adoption is critical when you adopt new technologies, from AI to EXPs. Prodoscore goes far beyond “are they logging in” to gathering data that provides insight into ROI. That date helps answer questions like: Are employees using the tools? Are there training gaps? Who are your power users? 

It is strategically built to be employee-friendly and transparent. The data empowers front-line managers to be more effective and employees to take on a self-coaching mindset.