I'm the CMO at Nextiva, a leading business communications platform. I've been around a while and I see with Nextiva how technology can transform things. Like how a team collaborates, performs, and engages. AI note-taking tools are a great example. They're not just improving productivity, they're changing how people show up in meetings, manage projects, and demonstrate leadership potential. 1. Teams are using AI note-taking tools like Otter, Fireflies, and Fathom to automatically capture and summarize meetings. It's not going to replace people (so relax) - it's used to let people stay present in the conversation. It's true that when you're not distracted by typing, you can engage more deeply. These summaries also make project handoffs seamless - the next person can quickly review context and action items instead of sorting through raw notes. 2. Because consistency and clarity stand out. When someone always follows up with accurate recaps and clear next steps after a meeting/conversation, it signals reliability. Those are leadership traits. Using AI effectively shows initiative, attention to detail, and accountability, which are qualities that executives notice and reward. 3. The most valuable notes capture why a decision was made, not just what was said. That context becomes essential in hybrid and cross-functional environments. A shared, searchable record builds alignment and prevents small miscommunications from slowing down progress. 4. Use the tool, but don't rely on it blindly. Review, edit, and personalize the summaries before sharing. Add human insight (aka: what mattered most, what still needs clarity, etc). The best users treat AI as a support system, not a substitute, and they take ownership of communication quality.
This feels like a combination of two key trends right now: First of all, note-taking is an important habit for employees in just about any role. It demonstrates diligence and engagement, and helps you more quickly understand and act on information. Second, AI is hot right now, especially among high-level leaders. There's a lot of demand for genuine use cases, since a lot of them haven't necessarily panned out. Employees who visibly embrace AI are going to fit the description of what leaders are looking for.
Running Tutorbase, I found AI note-taking tools like Otter were a lifesaver. We stopped having those "who said what?" moments on fast calls, especially with remote team members. Everyone gets a searchable record, which cut down on a ton of follow-up emails. Just try it on your recurring team meetings. It makes keeping track of things so much easier for everyone.
At ShipTheDeal, our remote team struggled when people missed meetings. We'd lose context and new hires were left confused. Getting AI transcripts changed that. Now anyone can read what they missed, which helps with onboarding and keeps projects on track. My advice is to clean up those AI notes first. A short, clear summary is more useful than a giant transcript everyone skips.
My remote teams use AI note-takers like Otter and Fireflies. Suddenly everyone gets the meeting notes instantly, so nobody's scrambling to remember what they agreed to do. At my company CLDY, we actually finished more cross-team projects once peoples' contributions were spelled out in the transcripts. It's a simple way to make sure everyone's work gets seen.
I use AI note-takers like Fireflies and Otter on client calls now. They catch the technical details I'd normally miss, so my follow-ups are actually useful and we don't waste time backtracking on conversations. The one thing I learned is to always scan the transcript for sensitive client information before you share it. That's a step you can't skip.
At Superpower, using AI for meeting notes cut down on our wasted time. It didn't boost morale right away, but it helped turn discussions into actual follow-up actions. After a while, managers started noticing who brought the clearest summaries and next steps. My advice: don't just copy-paste the AI notes. You have to edit them, or you'll miss important things, or worse, get stuff wrong.
In my experience leading transformation programmes, AI note-taking tools don't just record what's said, but they also change the way meetings work. When the software surfaces a possible action in real time, it prompts the facilitator and participants to pause and decide whether that specific action really needs to be taken. That guidance is powerful because it ensures the right commitments are captured immediately, rather than clarified later when the energy has faded or, worse, forgotten altogether. I've seen that people who use these tools regularly, especially meeting facilitators, stand out. Their follow-ups arrive faster, their summaries are sharper, and their decisions are better documented. Leaders notice that kind of consistency, and they often interpret it as reliability and readiness for bigger responsibilities. 1. How are AI note-taking tools being used right now? They are most often embedded directly into Microsoft Teams with Copilot. Because Teams is already widely deployed inside many corporations, this integration is the easiest option and avoids the compliance issues that can come with external tools. Copilot works within Teams by using the live transcript and meeting chat to generate summaries, highlight key discussion points, and surface potential actions in real time. Facilitators can confirm those actions during the meeting itself, ensuring commitments are captured immediately rather than left until later. 2. Why would regular use of AI note-taking tools get noticed by leaders? Because it signals discipline and fluency with technology. Prompt follow-ups, accurate capture of commitments, and polished summaries all help build trust. Leaders interpret that consistency as reliability and readiness for greater responsibility. 3. What are the best uses for workplace note-taking and why? * Action tracking to ensure commitments are followed through. * Stakeholder alignment to prevent misinterpretation and keep teams on the same page. * Compliance and governance, especially in regulated industries such as aerospace, where notes form part of the audit trail. 4. Any tips on AI note-taking on the job? * Always review AI outputs to ensure nuance and accuracy. The tools keep improving, but humans remain the ultimate overcheckers (for now). * Highlight decisions and actions, not just dialogue. * Treat AI as a guide. Let it "propose" potential actions, but apply professional judgment to confirm whether those actions should be taken or not.
In creative fields, notes are often chaotic sketches, ideas, color codes. When we trained our art-curation team on AI note-taking, structure replaced clutter without killing creativity. It also revealed who could turn inspiration into action. The people summarizing client briefs with AI were the ones pitching sharper exhibits weeks later. Best practices we've kept: Use AI to group feedback themes, not just transcribe. Let the model highlight emotional tone in client comments it saves curators hours. Archive every summary so creative wins are traceable for reviews. Blend human nuance with AI efficiency: edit, don't outsource thinking. In art or business, clear recall beats loud ideas. Those who document well, advance well.
1. We use Fireflies.ai at our firm to summarize internal meetings. What makes it so valuable is its ability to turn meeting details into organized, searchable data. It tags speakers, tracks action items, and syncs with our tools, so no one's scrambling to remember what was said or who's doing what. That clarity improves accountability and lets our team focus on solving problems instead of taking notes. 2. I'd say the team members who use AI are the ones who consistently follow through with what's discussed in the meeting. They send cleaner recaps with actionalable steps. So you start to be seen as the reliable one. The organized one. That kind of visibility is what drives career advancement. 3.AI notetakers are most appropriate for internal meetings between leadership and new vendor vetting calls, but it's also great for those quick team check-ins. People are always multitasking or joining from different locations anyways, so AI really helps with information retention. We also use it to onboard new staff quickly just share the meeting recording and summary. It helps reinforce our messaging. 4. Yes, label your meetings clearly. Tag team members. There's really a lot that AI notetakers can do, but your voice and judgment still matter, so make sure you always review the recaps before sharing.
one of the biggest advantages of note-taking apps is that it prevents miscommunication and ensures that the point of the meeting is clearly translated into actions that are aligned. How many times have you been in a meeting and ended up coming up with a different outcome or understanding that you were being asked to do something only to realize that you misunderstood what was being said? With note-taking apps, having all the inputs and data without missing anything or translating things according to your understanding and being biased, it will allow you to be clear, precise and ensures everyone is on the same page. Not only that, it even allows you to translate problems into actions and be a go-getter making you stand out and be reliable.
AI note-takers are becoming a digital form of executive memory. They store and recall context in a way that makes even junior employees sound like seasoned managers. When someone can pull up a six-month-old discussion and quote exact details or decisions, it creates an aura of reliability and sharpness. In workplaces where perception often equals promotion, this memory boost becomes a real advantage. Tools like Fathom, Krisp Notes, and tl;dv are excelling because they sync across video platforms, pull key insights, and let users reference conversations like searchable databases. This consistent knowledge recall makes an employee appear more strategic and prepared—key signals managers associate with leadership readiness.
AI note-taking tools are beginning to capture emotional tone, engagement levels, and team sentiment during conversations. This data helps professionals understand when discussions are energized, tense, or disengaged. Users who respond to these insights refine their communication and build stronger emotional intelligence. That growth naturally improves collaboration and influence within a team. MeetGeek, Avoma, and Supernormal have gained attention for combining analytics with empathy-focused insights. They reveal when someone loses attention or when language creates motivation. Over time, these minor adjustments can strengthen leadership presence and improve the human side of workplace communication.
Image-Guided Surgeon (IR) • Founder, GigHz • Creator of RadReport AI, Repit.org & Guide.MD • Med-Tech Consulting & Device Development at GigHz
Answered 5 months ago
AI note-taking tools are changing how people work, but not always in the ways we think. Tools like Otter.ai, Fireflies, Fathom, and Notion AI are now common in meetings, automatically transcribing, summarizing, and tagging key points. They help with organization and recall, letting professionals focus on engagement rather than frantic typing. For many, that translates into clearer follow-up, fewer dropped tasks, and a perception of reliability—qualities that definitely get noticed by leadership. That said, there's a hidden cost. When you rely too heavily on AI to "listen" for you, you risk losing what actually matters in human communication—tone, inflection, and nuance. Those subtle cues often carry more meaning than the words themselves. Zoning out because "the AI has it covered" disconnects you from the emotional texture of a conversation, and that can quietly erode trust or rapport with colleagues and clients. So yes, AI note-taking might correlate with promotions, but it's likely because users appear more organized, punctual, and detail-oriented—not because the software itself drives advancement. The real differentiator is how people use the tool. If you treat AI as an assistant that captures logistics while you stay fully present, you project competence and emotional intelligence—an unbeatable combination in leadership. Best practices: Use AI to summarize facts, but always review and personalize notes before sharing. It shows you understood, not just recorded. Keep cameras on and stay visually and verbally engaged, even when AI is transcribing. Presence still matters more than precision. For sensitive or creative meetings, consider hybrid note-taking—AI for structure, human for nuance. In short: AI note-taking is powerful, but it's a complement, not a substitute for attention. The people who get ahead are those who use it to enhance connection, not replace it. —Pouyan Golshani, MD | Interventional Radiologist & Founder, GigHz and Guide.MD | https://gighz.com
1. How are AI note-taking tools being us right now? What are some of the most popular AI note-taking tools and why? Also, how/why do they help note takers on the job? They're being used to take notes, transcribe meetings, and summarise what was said in an instant, so people can fully participate in the conversation rather than frantically typing away all the time. Popular tools like Otter.ai and Fireflies.ai help by automatically pick out action items and key decisions from the discussion, making it very easy to turn conversations into a neatly organised, shared document. 2. Playing devil's advocate here: Why would regular use of AI note-taking tools get noticed by team leaders and higher ups? Promptness? Accuracy? Better presentation? It gets noticed because it dramatically improves accountability and follow-through. A leader sees accurate, beautifully summarised notes with clear action items immediately after a meeting, showing promptness and a new level of professional polish that increases performance. 3. What are the best uses for workplace notetaking and why? The best use is distilling complicated conversations into simple things like 'what was decided', 'what needs to happen' and 'what comes next'. This makes sure everyone on the team is on the same page, there's no confusion & everyone knows exactly what they have to do next. 4. Any tips on AI notetaking on the job? What practices work best and why? My best tip is to use the AI tool to build a searchable database of all the important information, not just a record of all the meetings you've ever had. Get the tool to flag up the key bits of information, like important company-wide announcements or client feedback, so you can find what you need in seconds - huge time-saver.
By eliminating the need to manually jot down notes, apps like Otter.ai, Fireflies, and Notion AI are providing professionals with the space they need to concentrate on the most important aspects of their job and not on documenting. From summarizing important information to extracting key insights, AI note-taking apps help professionals to provide actionable suggestions and solutions. This increased focus and contribution does not go unnoticed. Supervisors who work with employees who are using AI to simplify tasks will undoubtedly find them to be producing more refined work, delivering information more quickly, and more consistently. This is management-speak for having employees who are more reliable and have a great deal of potential for being future leaders. One important tip for employees who want to take advantage of the growth opportunities which can be unlocked using AI note-taking apps is to only record the most important meetings. Employees should also tag their projects, set their own tags and take the time to review AI-generated summaries so they have the larger context before they share notes. This will save time in the long run, in addition to helping to avoid embarrassing gaffes that could otherwise cause you to lose your professional credibility. In addition, this kind of proactive, technology-enabled behavior also helps you to create a strong record that is bound to help you move up in the company.
Currently, AI-based note taking technology (i.e., Otter.ai, Fireflies.ai) is being utilized during business meetings to provide timely and accurate recordation of decision points and action items while allowing meeting participants to remain actively engaged within the meeting dialogue. Team leaders recognize consistent follow through. AI-based note taking solutions capture all of the commitments made in meetings -- regardless of whether they were large or small -- as they occur and can serve as a reminder of those commitments long after the meeting has concluded. As an example, I've witnessed multiple engineers referencing specific requirements from meetings conducted several months prior to demonstrate the reliability of the organization. By providing access to the context of previous conversations regarding a particular topic or issue, decisions can be reached much quicker. Senior management views this type of documentation as evidence of responsibility. The best applications for workplace note taking include: 1. Sprint planning: This is one of the best opportunities to identify the densest collection of information teams will reference repeatedly. 2. Design reviews: Technical design reviews represent another opportunity to document technical information that will be referenced by teams again and again. Stakeholder meetings where commitments are made represent yet another priority. I have seen teams avoid entirely rework cycles due to the fact that someone had documented exactly what was agreed upon in a stakeholder meeting versus what team members remembered later. Some suggestions for utilizing AI-based note taking solutions on the job include: 1. Immediately edit the transcript created by the AI solution while the context of the discussion is still fresh. 2. Edit the transcript to reflect any technical terminology that was incorrectly transcribed by the AI solution. In many cases, the AI solution does not accurately transcribe technical terms and concepts correctly. 3. Spend time editing and annotating the raw transcript to reflect any additional insight or context gained from the meeting. 4. Quickly distribute the edited transcript to relevant parties to prevent individuals from developing different versions of memory based on the meeting. 5. Label each action item with a clear owner and deadline to ensure that the meeting's objectives are met in a timely manner.
What are some current ways that AI Note-Taking Tools are being used? Which are the most common AI note-taking tools being used today, and why? How / Why do AI note-taking tools assist note-takers in their jobs? I currently utilize Otter.ai & Fireflies for client consultations & team meetings, where they instantly convert spoken dialogue into written content and identify the action item(s) that were discussed during each meeting. When I am explaining what Medicare Advantage Plans cover, or explaining premium structures, it is difficult for me to take complete notes while still focusing on the client. The true benefit of utilizing these products is after the meeting. I don't need to interpret my handwriting to find what was said, but rather I have an easily searchable transcript of the meeting, including timestamped entries. If a client contacts me regarding a dental plan we previously discussed, I can find that exact conversation in seconds. This allows me to focus on listening to clients and solving problems as opposed to spending time reviewing my notes and taking new ones. This has completely changed how I build relationships with clients. What are the best applications for note-taking in the workplace, and why? Client conversations provide the greatest return on investment. Each client consultation regarding ACA Plans, or Life Insurance, provides detailed and nuanced information that impacts the client's recommendation. Documenting client conversations ensures both parties' protection and creates a reference point for any future questions about what was communicated. Internal Strategy Meetings are equally beneficial. When teams discuss expansion plans or operational changes across multiple offices, documented communication prevents misunderstandings. I have witnessed teams spend hours re-discussing decisions made prior to the meeting due to lack of documented communication. Documentation is also crucial during training sessions. New agents who learn Medicare Enrollment procedures will greatly benefit from having transcripts to refer to in the future. As a result of the high degree of complexity in insurance, having easily accessible and searchable reference materials helps increase competency development faster than without.
Industry Leader in Insurance and AI Technologies at PricewaterhouseCoopers (PwC)
Answered 5 months ago
#1 I have used tools like Otter.ai, Fireflies, Copilot, and Notion AI when working with global teams. These help capture transcripts, summarize decisions, highlight action items, and overcome language barriers. They reduced miscommunication and let me focus on strategy rather than note taking. AI notes also keep teams in different time zones aligned with clear, searchable summaries. #2 Leaders look for clear summaries and organized next steps. What really makes a difference is the human touch on top of AI, such as adding context, fixing details, highlighting priorities, and making sure the message feels genuine, not just AI-produced. Balancing efficiency with good judgment is what gets leadership attention. #3 AI excels at capturing decisions, risks, timelines, action items, and topic summaries. These reduce rework, speed up alignment, and create transparent "why we decided this" logs. #4 Always refine the AI output: tailor summaries to your audience, add key takeaways for senior leaders, and save both long and short versions. Label notes for fast retrieval and ask AI for analogies or examples for complex topics. In short, AI takes care of repetitive tasks so people can focus on clarity, insight, and making better decisions. It's not about humans versus AI, but about working together with AI.