95% of Companies See 'Zero Return' on $30B Generative AI Spend

Full disclosure: I'm currently in a leadership role on an AI engineering team, so it's in my best interest for AI to be perceived as driving value.

Here's a relatively straightforward application of AI that is set to save my company millions of dollars annually.

We operate large call centers, and agents were previously spending 3-5 minutes after each call writing manual summaries of the calls.

We recently switched to using AI to transcribe and write these summaries. Not only are the summaries better than those produced by our human agents, they also free up the human agents to do higher-value work.

It's not sexy. It's not going to replace anyone's job. But it's a huge, measurable efficiency gain.

I wonder if the human agents agree the AI summaries are better than their summaries. I was nodding as I read and then told myself "yeah but it wouldn't be able to summarize the meetings I have", so I wonder if this only works in 3rd person.

I built a little solution to record and transcribe all of my own meetings. I have many meetings (30hr week+) and I can't keep pace with adequate note-taking while participating in them all.

I'm finding that the summarization of individual meetings very useful, I'm also finding that the ability to send in transcripts across meetings, departments, initiatives whatever to be very effective at surfacing subtexts and common pain points much more effectively than I can.

I'm also using it to look at my own participation in meetings to help me see how I interact with others a (little) bit more objectively and it has helped me find ways to improve. (I don't take its advice directly lol, just think about observations and determine myself if it's something that's important and worth thinking about)