I really like the transcription feature on Level AI. It's very helpful when listening to calls because if certain words can't be made out, the transcription is there to verify what has been said. Being able to visually see what's being said by a person when it can't be made out audibly while listening to a specific call is great.

I actually like Level AI because it does a lot of cool things that I didn't even know could be done, such as helping me find certain items and simplifying tasks. If I word an email incorrectly, I can click help, and it'll reword it for me in a way that it should be correctly written. It was also easy to set up.

What I like best about Level AI is how it lets us understand and improve customer conversations at scale without adding more manual work for our teams. The AI-driven conversation analytics, smart tagging, and auto-QA scores make it easy to spot patterns across queues, drill into specific calls, and quickly coach agents on what matters most. Instead of sampling a handful of calls by hand, we can now review trends across thousands of interactions and immediately pull up the exact examples we need for training or root-cause analysis. This has made our QA and analytics workflows faster, more consistent, and much more actionable for both front-line teams and leaders.