New Technology and Tools: Rethinking Productivity for Sustainable Success
The modern workplace can feel more hectic and uncertain than ever, with dispersed teams and a constant wave of new AI tools. But organizations that cling to old structures miss the chance to broaden employees’ horizons while improving productivity and outcomes.“Every organization wants to do more with less, but most aren’t doing it all that well,” said moderator Rebecca Knight, contributing writer for Harvard Business Review, during a panel discussion at From Day One’s September virtual conference. Panelists discussed best productivity practices for making the most of the latest tech tools and advancements.Today’s Greatest Productivity Roadblock: Burnout“Our biggest challenge today is burnout,” said Parise Hunter, VP of HR at Medable, Inc. While the shift to work-from-home and hybrid models has in some ways offered workers personal freedom, it also can be a challenge to “help people balance what’s going on in their lives and work, reducing the noise and protecting people’s energy.” Occasional in-person team meetups can help but, especially for large national or international corporations, “it can be expensive getting people together.” And of course, many people don’t want to return to the office, but are forced to anyway. “It’s really affecting people’s morale, which affects productivity” said Milena Berry, co-Founder and CEO of PowerToFly. Companies are generally facing uncertainty, she says, in these turbulent political and economic times, leading to hiring stalls and fears surrounding job security. Fortunately, many organizations are less focused on having employees show up for a typical 9-to-5. “Rather, they’re looking at enhanced productivity,” said Deepa Jagarlapudi, senior director, talent acquisition at Valtech India. “They’re looking at flexible ways of working, a lot more value alignment and a lot more learning and development opportunities,” she said. Adopting New Productivity ToolsTo help reduce burnout, Berry says that AI can “automate low-value tasks [like chatbots or note-taking], augment human decision-making with data, and strategically implement tools.” All of these, when used correctly, can “accelerate results” without threatening livelihoods. “The most successful companies are not thinking about AI as a replacement of humans, but more of AI as augmenting the human touch and the human capability,” she said. Advancements in productivity tools might help, but be careful: Shipra Malhotra, director, HR technology at Alta Performance Materials, cautions that they could also be a cause of burnout as workers struggle to incorporate “a flood” of new technology into their work lives. Panelists spoke about "The New Essentials of Worker Productivity That’s Sustainable and Attainable" during the virtual panel discussion (photo by From Day One)But advancements like AI aren’t going away, so organizations need to find ways to integrate them thoughtfully. “From a talent perspective, what challenges or opportunities are you seeing in terms of helping employees adopt AI and other productivity tools without overwhelming or scaring them?” Knight asked. Education, transparency, and setting a pace for change can encourage both early adopters as well as those with more trepidation, says Hunter. Surveying team leaders about their productivity and time management roadblocks can help you brainstorm the best ways to deploy AI to tackle those issues. Adoption of AI tools within HR departments has been a little bit slower, Malhotra says, in part because “HR is highly regulated. It’s compliance heavy, and we’re seeing many of the states publishing their AI regulations, and some of them even specific to [the] HR domain.” She hopes there will be a standardized governance structure for AI, so that HR departments will feel more comfortable using it. “What would help is laying down the rules, the processes, documentation, having a context to best practices, establishing guardrails related to ethics, bias, and anonymity. Those are the things that allow people to put in their trust, and that trust then [leads] to higher adoption.” The Changing Role of Managers In many workplaces, “managers [are] playing a different role now that they’re overseeing larger, more distributed teams, and sometimes team members who are AI agents, not humans,” Knight said. Developing a culture of “shared learning” can help managers feel more supported as workplace dynamics and processes change, Jagarlapudi says. Managers need to be trained on new technologies early, Berry says, since adoption will need to come from the top down. They should be given company time to experiment and “play with” the new tools to get more familiar. Having a strategy, and a budget, will give your AI initiatives structure and direction. Begin by defining your business goals, Malhotra says, then think about how AI can complement your existing workflow. Starting small with project-based initiatives, or adding one or two AI agents, can help the transformation feel more organic.“I’ve seen a lot of companies adopt some technologies in a very sporadic, haphazard kind of innovative way, but then have their hands slapped and have to roll things back because they were done in a non-compliant way,” Berry said. “[And] you have to put a little bit of budget toward it. It’s going to cost some money. If you want to do it for free, then it won’t happen as fast as you can do it otherwise.” Rapid evolution can feel daunting to workers–but it doesn’t have to be. “I encourage everybody to take more of an entrepreneurial approach to their career. I call it being like a ‘corporate-preneur,’ helping them create career paths that are really in tune to them,” Hunter said. Encourage workers to think about what skills they need to achieve their career goals and create opportunities to learn, lead, and grow, even if they are not within the traditional scope of their role. Jagarlapudi suggests tools like Confluence, Yammer, and LinkedIn Learning as “examples of how the workforce can kind of jam together on the same topic.” AI tools can even be used, Malhotra says, for “critical skills assessment” to help workers and team leaders understand which areas require further training and exploration. As with any new initiative, the success of AI implementation needs to be measured in order to encourage leadership buy-in. The definition of “success” will change by department, whether it’s increased sales calls, reduced customer wait times, or boosted monetary profits. “But if you’re starting to introduce AI automation, and all of a sudden your growth starts increasing, well, there you go,” Berry said. “Tha’'s concrete proof that nobody will have pushback against.” Katie Chambers is a freelance writer and award-winning communications executive with a lifelong commitment to supporting artists and advocating for inclusion. Her work has been seen in HuffPost, Top Think, and several printed essay collections, and she has appeared on Cheddar News, iWomanTV, On New Jersey, and CBS New York.(Photo by Panya Mingthaisong/iStock)
Katie Chambers
September 29, 2025