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Employees across all sectors are using generative AI to help them in their tasks. But a group of AI and HR executives who spoke with Reworked said the technology is not only changing the nature of digital work for employees, it is also enhancing the day-to-day employee experience.
Below are five generative AI trends these executives say are enhancing EX and taking the digital workplace by storm.
1. Gaining Deliverable Outputs From Employee Inputs
Mark Tippin, director of strategic next practices at visual collaboration platform provider Mural, said workers use generative AI to compress the time it takes to synthesize their research, including notes, interviews and varied findings.
“As more employees weave qualitative and quantitative data into their decision-making, they also discover the heavy lifting that is often not well known outside professional research circles,” Tippin said. “It is therefore easy to understand why there is so much interest in having AI help crunch through the raw information to speed this along.”
And this, Tippin said, is in no way meant to shortcut the need for human synthesis. It is simply a means to use natural language inquiries to form an optimal approach. As long as this is done in a way that maintains “a clear separation between public and private data,” he said, these employees can derive “the most benefit while assuring the absolute lowest risk.”
Employees at furniture company RJ Living are using ChatGPT to enable data visualization, turning insights into graphs and charts, said CEO and founder David Janovic.
Rather than creating a visual report from scratch, employees input data, prompt the generative AI tool and make a few additional changes manually as needed. “It saves a significant amount of time,” Janovic said.
Pavel Bahu, global HR head at travel company Trevolution Group, said the organization's employees use generative AI tools, such as ChatGPT, to transcribe their voice notes and interviews. The transcription output provides content that is condensed and structured, “which becomes a valuable resource within our intranet, improving the accessibility and usability,” Bahu said.
Extending the reach of content, Marnix Broer, co-founder and CEO of Studocu, a digital studying community with AI, said many are turning to generative AI to translate information for their teams, customers and stakeholders.
“As teams become increasingly remote and diverse, having a tool that translates communications and important documentation in a matter of seconds can help reduce communication delays, costs and other traditional language barriers teams have faced,” Broer said.
“The more we can break those communication walls down at scale, the closer we can maximize the impact of stronger, more diverse work cultures.”
2. Spreading Internal Knowledge via Chatbots
Ashu Dubey, co-founder and CEO of customer support platform Gleen, said department-specific generative AI chatbots for employees will eventually be deployed across the entire organization to improve employee productivity and satisfaction and reduce risk.
For example, after an employee had a question about healthcare insurance benefits, Gleen created a benefits chatbot based on all of the company’s health insurance plan documents. Gleen employees can now ask the chatbot any question related to their healthcare benefits. This not only enables employees to tap into much-needed information easily, but it also frees up resources who would have otherwise had to respond to the request for information.
Bahu said the onboarding process can also be improved by developing a general FAQ chatbot for new employees, providing them with straightforward answers to basic questions. This, he said, can help new employees navigate through the wealth of information available on an intranet.
Employee wellness can also benefit from the technology. Bahu said HR teams can implement a chatbot for employees to ask questions and advice on their mental health and physical health, such as how to do exercises at the workplace.
Sabra Sciolaro, chief people officer at Firstup, an internal communications platform provider, said the company’s proprietary generative AI tool is giving HR teams the ability to use natural language prompts to provide employees with real-time answers on a range of information, from policies and procedures to pay and PTO balances.
“AI technology goes beyond traditional keyword matching, diving deep into the meaning and context of each query to deliver personalized access to what employees need,” Sciolaro said.
Related Article: Information Source? No. But ChatGPT Can Help Employees in These Areas
3. Improving Employee Engagement and Talent Management
Sciolaro said HR teams are using Firstup’s proprietary generative AI tool to develop internal communications that are aligned in topic and tone to an employee's needs, which helps improve employee engagement.
With the technology, HR teams have the ability to gather and view real-time employee engagement data to offer tailored communications at scale to each individual employee — when, where and how they want to receive it. They can analyze employee attributes for more relevant, personalized communications approaches, Sciolaro said.
Bahu said Trevolution Group uses generative AI for job designs as part of talent management.
“AI allows us to project where this position should be, who could be the collaboration colleagues, what can you do to develop these specific talents — and what programs are needed to provide the training for these talents to ensure that their development is actually useful for the organization,” he said.
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In the recruiting space, Spencer Greene, managing partner at TSVC, a venture capital firm backing AI job simulation platform Vervoe, said he sees HR teams lean on the company’s machine learning (ML) model and natural language processing (NLP) to identify the best talent and help employees move internally to the most suitable role.
For instance, he said, candidates can try out a job and demonstrate whether they have the skills for it by completing open-ended assessments, such as writing a document, speaking to a customer or building a spreadsheet, which are then graded by a generative AI engine.
“The AI doesn’t know any demographic information about the person doing the simulation,” Greene said. “The AI frequently finds hidden gems — candidates or employees who are great at a job, even though it’s not at all obvious from their resume.”
4. Increasing Self-Serve Employee Learning
Tippin said some employees turn to generative AI tools, such as ChatGPT, for self-directed learning by opening “a world of conversation.”
“This exchange helps you get your bearings in a new domain, not unlike an informal office chat with a colleague who might know a bit about the topic,” he said. “Many individuals are finding a potential coach in AI. The natural language interface lends itself to a Socratic method of learning through dialogue.”
And for employees for whom English is not a primary language, this opens the door to learning in your native tongue from materials that may not be, he said. For example, a transcript of an industry lecture in English can be fed to a generative AI tool to help employees learn by asking questions about the material in any language.
Bahu said generative AI is helpful to young leaders because it can offer tips on management and interpersonal communications, such as holding a one-on-one meeting and resolving conflict on a team.
Related Article: Generative AI in the Workplace Is Inevitable. Planning for It Should Be Too
5. Giving Employees Digital Assistants
Jeremiah Stone, CTO of data and application integration platform provider SnapLogic said AI is often used by employees to lighten workloads and handle repetitive tasks, allowing them to focus on more critical tasks.
“But if your goal for AI is to replace your workforce rather than serve as an accelerant, which is a seamless extension of it, then you’re going about it the wrong way,” he said.
At Gleen, management has given each team member the generative AI tool ChatGPT Plus as a digital assistant, and it has been a “transformative decision across all functions” and a “massive productivity boost for the company,” Dubey said.
As an example of that success, the Gleen software engineering team uses the tool for various tasks, such as debugging code, refactoring code, and data analysis, and their efficiency is up at least 2x, Dubey wrote in a post on the Gleen blog.
The company’s marketing team is also making good use of their generative AI assistants, using it to generate compelling and engaging content ideas and drafts, such as information architecture for a new website, subject line alternatives and surveys, Dubey said.
And on the Gleen sales team, Dubey said the generative AI assistants help reps perform tasks such as drafting email responses, scripts and presentations as well as preparing for sales calls with talking points.
Sciolaro said HR teams use Firstup’s proprietary generative AI digital assistant to improve content quality and relevance in employee communications, helping them with content tasks, such as generating text, visuals and templates.
Tippin said another common application of generative AI is creating content boilerplates for employees to get over the blank-page issue.
“We often find that we have more ready access to opinions about something that exists than we do the creative impulse to start from scratch,” he said. “Our inner critic is suddenly free to cut and shape it into a reasonable artifact without procrastination until the muse strikes.”
