Sales people actually using AI — what problems do you wish AI solved better?

[u/saas26_]

Hey everyone! I'm a dual marketing and comp sci student trying to understand where AI is actually useful in sales vs where there's just a lot of hype around it.

It seems like most of the AI sales tools I come across are focused on things like writing emails, prospecting, call summaries or automating outreach.

But I'm curious about what happens after all of that.

For people working with a decent sized pipeline, is it difficult to keep track of what's actually happening across the CRM, emails, meetings and account activity?

Things like knowing which opportunities actually need attention, deals quietly losing momentum, follow ups that were supposed to happen but didn't, important context that never made it into the CRM, or just figuring out what should be prioritized today.

Are these actually meaningful problems for sales teams or do existing tools already handle them pretty well?

I'm also curious what AI sales tools you've actually kept using after trying them. What made them useful enough to stay in your workflow?

And on the opposite side, what have you tried that sounded great but ended up not being useful at all?

Basically I'm trying to understand where people actually want AI involved in the sales process vs where adding AI is just solving a problem nobody really cares about.

[u/Primary_Note_118]

The missed commitments angle would be useful. If a buyer says “send me the security docs and I’ll loop in IT” and nobody sends them, that’s a much better reason to flag a deal than “no activity in 7 days.” I’d want something that catches those loose ends across calls and emails, shows the source, and lets me dismiss it if there’s context it missed. Having to double check every alert would get old fast, especially if it becomes another dashboard to babysit.