{"id":597367,"date":"2026-06-03T20:06:25","date_gmt":"2026-06-03T20:06:25","guid":{"rendered":"https:\/\/www.olympiajournal.com\/news\/story\/597367\/krisp-expands-ai-meeting-assistant-capabilities-with-automated-notetaking-and-summarization-features.html"},"modified":"2026-06-03T20:06:25","modified_gmt":"2026-06-03T20:06:25","slug":"krisp-expands-ai-meeting-assistant-capabilities-with-automated-notetaking-and-summarization-features","status":"publish","type":"post","link":"https:\/\/www.olympiajournal.com\/news\/story\/597367\/krisp-expands-ai-meeting-assistant-capabilities-with-automated-notetaking-and-summarization-features.html","title":{"rendered":"Krisp Expands AI Meeting Assistant Capabilities with Automated Note-Taking and Summarization Features"},"content":{"rendered":"
\"Krisp<\/a><\/div>\n

The math on meeting notes is worse than most people think. Professionals spend an average of 11.3 hours per week in meetings. Nearly half that time, 46% according to workplace research, is considered unproductive by the people sitting through it. And that’s before anyone accounts for the 25 to 40 minutes of post-call cleanup that follows each one: writing up recaps, formatting what happened, chasing down what was decided, then sending it all to the people who need it.<\/p>\n

Add it up across a month and you get roughly 31 hours of unproductive meeting time per person. That’s nearly four full workdays spent in conversations that didn’t need to happen, didn’t produce clear outcomes, or produced outcomes that got lost because nobody wrote them down properly.<\/p>\n

The note-taking part of this equation deserves more attention than it gets.<\/p>\n

The real cost of writing things down<\/p>\n

Taking notes during a meeting sounds simple. In practice, it creates a tradeoff nobody talks about: the person writing things down is only half-listening. They catch the keywords, miss the context, and spend the next half hour after the call trying to piece together what was said.<\/p>\n

73% of professionals admit to doing other work during meetings, and close to 90% say they daydream. Part of that is bad meetings. But part of it is the cognitive split between participating and documenting. You can listen or you can write. Doing both means doing neither well.<\/p>\n

For managers, the problem scales fast. The average manager spends about 9 hours per week in meetings. Executives hit 23 hours. At that volume, post-meeting documentation becomes a second job, one that eats into the focused work time that was already shrinking.<\/p>\n

The downstream effects are worse than they look. A misremembered detail turns into the wrong action item. A vague summary leads to a follow-up meeting to clarify what was decided in the last one. Unproductive meetings cost U.S. businesses an estimated $399 billion a year. A big chunk of that waste traces back to something basic: nobody had an accurate record of what happened.<\/p>\n

Why most AI note takers only solve half the problem<\/p>\n

AI meeting tools that arrived over the past few years addressed the documentation side. Automatic transcripts, generated summaries, extracted action items. The technology works. But most of these tools share a blind spot: they assume the meeting audio is clean enough to transcribe accurately in the first place.<\/p>\n

It usually isn’t. Someone’s on a train. Someone else is in a coffee shop. A third person has an accent that the transcription engine struggles with. The resulting transcript is 85% right, which sounds fine until the 15% it misses turns out to be the project name, the deadline, or the dollar amount the client agreed to.<\/p>\n

Krisp comes at this from a different direction. The company started in voice AI, focused on noise cancellation<\/a>. Over 200 million devices run it, processing more than a billion minutes of audio every month. When Krisp built its AI Note Taker<\/a>, it didn’t bolt transcription onto a chat interface. It built note-taking on top of an audio engine that already knew how to make conversations sound better.<\/p>\n

Fixing the input, not the output<\/p>\n

Krisp’s two-sided noise cancellation removes background noise from both your microphone and the incoming audio from other participants. It cuts more than 40 decibels of interference without making voices sound robotic. Accent conversion, a feature nobody else in the note-taking space offers, works in both directions: speakers can activate it so their accent comes across more clearly, and listeners can enable it to follow along without asking people to repeat themselves.<\/p>\n

The note quality difference starts here. Clean audio feeds better transcription, which feeds more accurate summaries, which means the action items that land in someone’s inbox are ones they can trust. One garbled word changes the meaning of a sentence. That sentence changes the summary. The summary changes what someone does the next day. Krisp breaks that chain at the source, before anything gets transcribed.<\/p>\n

When the call ends, Krisp generates key points, action items with identified owners, and structured summaries formatted to match the type of meeting you had, whether it was a standup, a discovery call, or a one-on-one. Live transcription runs during the call in 16-plus languages with speaker identification. An AI chat feature also lets you query your past meetings like a searchable archive. Ask “What did we agree on pricing last Tuesday?” and you get a direct answer pulled from the right moment.<\/p>\n

No bot in the room<\/p>\n

Most AI note takers send a recording bot into the meeting. It shows up in the participant list, and everyone sees it. On sales calls, that creates an awkward moment. In sensitive conversations, it changes what people are willing to say.<\/p>\n

Krisp works at the system audio level as a virtual microphone and speaker. No bot joins the call. Nobody on the other end knows it’s running. You can send a bot to attend on your behalf when you can’t be there, but the default is invisible. If you care about how your meetings feel, not just how the notes look afterward, that’s a big deal.<\/p>\n

Notes sync to Salesforce, HubSpot, Slack, Notion, Jira, and Asana. Setup takes about two minutes: install the app, select Krisp as your microphone, and you’re running. It works across Zoom, Google Meet, Microsoft Teams, and Webex. HIPAA, SOC 2, and PCI DSS compliance cover the security side. And the noise cancellation processing happens on device, so no audio data leaves the machine for that step.<\/p>\n

Getting time back where it counts<\/p>\n

The professionals saving four-plus hours a week with AI meeting documentation aren’t doing anything dramatic. They stopped splitting their attention between listening and writing. They stopped spending 30 minutes after every call formatting recaps. And they stopped booking follow-up meetings just to figure out what was decided in the last one.<\/p>\n

Krisp gives that time back. And because it starts with the audio, not the transcript, the notes that come out the other end hold up. Try it on your next real call. That’s where it clicks.<\/p>\n

Media Contact<\/span>
Company Name:<\/strong> Krisp<\/a>
Contact Person:<\/strong> Voice AI, Noise
Email:<\/strong> Send Email<\/a>
Country:<\/strong> United States
Website:<\/strong> https:\/\/krisp.ai\/<\/a><\/p>\n

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The math on meeting notes is worse than most people think. Professionals spend an average of 11.3 hours per week in meetings. Nearly half that time, 46% according to workplace<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.olympiajournal.com\/news\/wp-json\/wp\/v2\/posts\/597367"}],"collection":[{"href":"https:\/\/www.olympiajournal.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.olympiajournal.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.olympiajournal.com\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.olympiajournal.com\/news\/wp-json\/wp\/v2\/comments?post=597367"}],"version-history":[{"count":0,"href":"https:\/\/www.olympiajournal.com\/news\/wp-json\/wp\/v2\/posts\/597367\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.olympiajournal.com\/news\/wp-json\/wp\/v2\/media?parent=597367"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.olympiajournal.com\/news\/wp-json\/wp\/v2\/categories?post=597367"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.olympiajournal.com\/news\/wp-json\/wp\/v2\/tags?post=597367"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}