top of page
  • Writer's picturetransformcxdev

Using AI Note-Taking to Improve Performance

Updated: Feb 29

In this episode of the SDSS Podcast, hosts Tim Keefe and Andreas Wieman talk about the evolving landscape of workplace technology, focusing on AI note-taking tools and their impact on meetings and productivity. 

They explore the benefits and challenges of integrating AI into business processes, discussing automated quality assurance, sentiment analysis, and data privacy and security implications. The conversation also touches on the broader role of AI in enhancing communication and decision-making within global teams.


  • Discussed the proliferation and utility of AI note-taking tools in capturing meeting highlights.

  • Insights into the importance of automated quality assurance, natural language understanding (NLU), and natural language processing (NLP).

  • Concerns around security, data privacy, and the legal implications of using cloud-based AI tools.

  • The efficiency of meetings, the importance of respecting participants' time, and the potential of AI to streamline meeting outcomes.

  • Leadership perspectives on communication, including considerations for global teams and non-native English speakers.

  • Future trends in AI utilization in the professional sphere and beyond.


Tim Keefe:

[1] “I've been using an AI note-taking tool and it's fascinating. You get an email after the call, and it kind of hits the high points, which is great. I mean, it is pretty good at note-taking. I've been getting a lot of feedback from people who aren't able to attend meetings, that it's a really good way for them to still feel connected to what's going on.”

[2] “In our virtual company, we talk with a lot of people all over the world where English may not be their first language and their ability—they might be translating in their head, as you know, as you would be if you were listening to a meeting in Spanish or Italian or whatever other languages you might speak—taking the time to allow the audience to do that.”

Andreas Wieman:

[1] “ If you've listened to our podcast in the past, we're huge advocates for automated QA and building the right NLU and NLP tools to accurately capture not just the vocabulary of the conversations but also, if there's sentiment analysis, applying machine learning algorithms to categorize it correctly. It just gives you more data to make decisions on.”

[2] “The output that it provides, I think, is pretty invaluable for these types of meetings. It's one thing when you're looking at process adherence analysis for a tool like this, but another when you're having a collective meeting of the minds with strategic conversations occurring. If you have the right frequency of recording these and being able to capture these pretty statistically as they occur, you go back and analyze them like you would any other data output metric.”


This episode offers a critical look at how AI technologies, particularly AI note-taking tools, reshape how meetings are conducted and how leaders can leverage these tools to enhance productivity, decision-making, and communication across global teams. 

The conversation between Tim and Andreas highlights the importance of embracing technological advancements while being mindful of privacy, security, and inclusivity.


We strongly advise getting a copy of Tim and Andreas' book, "Stop Doing Stupid Stuff," for those who feel motivated by today's discussion and want to learn more about these transformative concepts. 

Available on Amazon, SDSS promises to be your guide to fostering a smarter, more value-driven work and business environment.

9 views0 comments

Recent Posts

See All


bottom of page