The development of AI has been the headline for most businesses and their workplace productivity metrics across the world over the past few years. While companies struggle to integrate their capabilities into working processes, the universal benefits it offers have already seeped into the lives of workers. In some cases, this takes the form of mentorship support, while in others it is ideation and development and for some, stress management and support.
In all such cases, the use cases for AI seem to expand more rapidly as the months progress. At present, virtually every major business consulting firm has covered the many facets of AI in significant detail. However, the question is still looming large and unanswered about how to integrate AI into everyday working processes. Well, we put together a formidable compilation of leading research on the issue. Here are 5 ways essential insights for using AI to increase workplace productivity:
3 Ways to Bring AI into Your Business Process and Boost Workplace Productivity Right Now
AI-supported Mentorships
AI-assisted learning is not just for entry-level and mid-level workers but also for executive-level professionals.
AI-supported mentorships offer a lot of options for independent learning and also free up mentors to address other tasks at the workplace.
Over half (57%) of the class of 2025 reported feeling pessimistic about starting their careers. Last year, that number stood at just 49% of the graduating class. +and AI mentorships may unlock their potential.
Mentorship planning has gone to reach a new level in businesses of all sizes in 2024. With ChatGPT bringing a ton of learning enhancement options, the way businesses mentor employees at all levels has become much more dynamic. Now, AI-assisted learning is not just for entry-level and mid-level workers but also for executive-level professionals. But ChatGPT is not the answer for a company that wants to take charge of its workforce’s skill development. Also, there are plenty of other benefits that dedicated mentorship assisting AI apps offer.
Some workforce collaboration and team development apps like LEAD.bot bot offer AI-assisted mentorship options. This helps learners take advantage of active skill development opportunities and deploy them directly into work. For example, mentors may create a complex learning module that offers many tiers of learning. Learners may opt for specializations based on their learning preferences enabled or assisted by the AI module that throws up more learning opportunities including case studies and books related to their area of interest.
Further, platforms like LEAD.bot also enable learners to learn collaboratively and boost employee productivity organically. They can approach mentors and work up their skills in collaborative channels on Slack. This is especially useful for boosting productivity directly by optimizing internal social networks that foster better employee engagement and cross-team collaboration. AI-supported mentorships offer a lot of options for independent learning and also free up mentors to address other tasks to increase workplace productivity. In many companies in the business consulting space, using AI-assisted mentorship on knowledge management databases enables tremendously fast bootstrapping and is especially useful for new or incoming experts on a new project. With the AI support
Why Does this Matter for Workplace Productivity?
A lot of entry-level workers, particularly Gen Z, find it difficult to get up and running in their careers. In fact, this Fortune article mentions that,
Over half (57%) of the class of 2025 reported feeling pessimistic about starting their careers. Last year, that number stood at just 49% of the graduating class.
So, this pessimism translates into a lack of momentum in workplace productivity particularly if they do not find a clear career growth plan for themselves right from the start. Using AI-assisted mentorships helps companies capitalize on their entry-level talent and bring out the best performers. It also democratizes the business learning space with people learning what they like through AI-assisted learning and seeking support from Slack or MS Teams channels.
AI support for New Hire Onboarding
Top-quartile business units achieved 23% higher profit than bottom-quartile units because of lower absenteeism and turnover, less shrinkage or theft, fewer safety incidents, fewer defects or errors, and higher customer loyalty and productivity.
A strong onboarding process can increase retention by as much as 82%, yet 9 out of 10 employees believe their organization handles it poorly.
With AI-supported new hire onboarding, managers can make that crucial personal connection with incoming employees without sacrificing their time and duties.
Gen Z’s expectations for taking up jobs have been in the news of late because of the sheer lack of employee retention and productivity value businesses are seeing. In Gallup’s most recent study,
Top-quartile business units achieved 23% higher profit than bottom-quartile units. This is largely driven by those same units experiencing less absenteeism, lower turnover, less shrinkage or theft, fewer safety incidents, fewer defects or errors, and higher customer loyalty and productivity.
Gen Z holds the key to the future of businesses particularly since the older generations are retiring and certain industries desperately need to develop their employee experience values to create better employee retention standards. This includes crucial industrial domains like manufacturing, construction, and even information technology. Gen Z workers want a better and more connected environment that offers seamless communication, collaboration, and networking opportunities. One of the best ways to do so for companies is to develop AI-assisted new hire onboarding modules that foster better employee productivity.
According to this Forbes article,
A strong onboarding process can increase retention by as much as 82%, yet 9 out of 10 employees believe their organization handles it poorly.
Using AI-assisted new hire onboarding to develop custom career growth and learning paths helps managers create a far superior new onboarding experience. This helps boost retention, develop engagement value, and add to employee productivity right from Day 1. Further, it helps managers to create a strong team collaboration process with mentioning to bring out the best talent in their teams. It also helps discover skills early and create specialization paths which is one of the best ways to reduce employee turnover rates at all levels.
Why Does this Matter for Workplace Productivity?
Gen Z has the potential to greatly enhance employee productivity if it is handled correctly. With AI-supported new hire onboarding, managers can make that crucial personal connection with incoming employees without sacrificing their time and duties. Further, new hire onboarding checks at 30/60/90 are prompted by apps like LEAD.bot bot. So, the overall workup for new hires gets a lot easier and frees up managers in different departments to attend to other tasks.
3 Ways to Bring AI into Your Business Process and Boost Productivity Right Now
Employee Wellbeing on AI Support
Employee well-being and burnout are one of the biggest challenges companies are facing right now.
work-life balance and managing business goals well is the new success symbol among professionals and entrepreneurs.
The ideal solution here is using an AI-driven work-life balance management paradigm. This process involves employee engagement, cross-team collaboration, and communication to help workers voice their reservations through digital channels.
Employee well-being and burnout are one of the biggest challenges companies are facing right now. Many people do not want to come back to work despite mandates issued by their companies. Part of the reason has to do with the sheer lack of work-life balance. However, as AI is driving the work processing revolution, it is also working its way into creating better digital workspaces. Employers now have the option to use AI to foster better workplace wellbeing and promote healthy work-life balance. In fact, a recent Forbes article mentions that attaining a good work-life balance and managing employee productivity goals well is the new success symbol among professionals and entrepreneurs.
Considering how radically the pandemic changed our work lives, this kind of a change-up was bound to happen. Managers must now reconcile their employee productivity expectations with the new vogue among professionals as well. And part of the process involves creating a much more enriched and dynamic office culture. Part of this process is physical, something that has been referred to as office peacocking. This is where companies swank up their offices to attract their workers into the office space. However, another Gartner study shows that people have gotten used to the comfort of their homes and so, are now louder in common spaces than they were before. This is causing some hiccups and headaches for HR and managers alike.
So, the better approach alongside this is to create an AI-driven work-life balance management paradigm. This process involves employee engagement, cross-team collaboration, and communication to help workers voice their reservations through digital channels. Since hybrid is by far the most popular option, AI-supported employee experimentation on working styles and collaboration options may open up a lot of workforce development opportunities. In sum, Juggling career growth with direct application into active projects with mentorship support boosted with AI sounds like the new mantra for accelerated business productivity and growth.
Why Does this Matter for Workplace Productivity?
Managerial burnout has been a top priority for executives over the past few years. Since the pandemic’s influence died down, this noise has turned into the central chorus. The best way to get managers a reprieve while boosting workplace productivity is to create the right working environment for employees. Part of this process will happen with AI-assisted working and well-being management. Companies that adopt early to this paradigm early stand to develop their workforce potential while also enhancing team collaboration and better organizational interconnectivity.
How Can LEAD.bot bot Help You Integrate AI with Your Team Collaboration and Employee Engagement Processes?
Integrating AI into working processes is practically a foregone conclusion now. Companies that develop a strong AI-integrated business process will also create better overall workplace productivity and the results will be visible sooner than expected. But this only works if the AI integration is seamlessly part of your knowledge sharing, mentorship, team collaboration, and employee engagement process. This is where LEAD.bot bot has you covered to the fullest!
LEAD.bot bot is a team engagement platform for big businesses and MNCs on Slack and Teams. It is an all-in-one team development software with features like virtual coffee chats, buddy programs, birthday celebrations & work anniversary celebrations, new hire onboarding programs, and Pulse Surveys.
LEAD.bot bot also offers cutting-edge Organizational Network Analysis (ONA) for large-scale organizations. C-suite execs and mid-level managers benefit greatly in their decision-making from ONA and use its highly actionable insights for building strong connections across their workforce. This enables far more forward-leaning talent development and generates greater organizational interconnectedness! Foster better organizational health, talent development, employee retention, and overall performance with this simple app!
LEAD.bot bot is a product of LEAD.app and we also LEAD.bot’s sister app Sunrize which showcases workplace attendance by graphs right on Slack! Book a demo now!
