You call a company, explain your issue to the bot, get transferred, and explain it again. Then you message them on WhatsApp the next day and start from zero.
The fix isn't a smarter model. It's shared memory: past interactions, decisions and customer context stored in one place, available to every agent and every human with permission to see it. When a customer says "can we pick up where we left off?", the next conversation should already know where that was.
This turned out to be one of the hardest parts of our platform to get right, especially with permissions.
Have you seen a company do this well? Which product made you feel remembered?
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What's the most commonly implemented use case or workflow you have seen among your customers?
@himani_sah1
Sales because that the revenue driving workflow for businesses and gives instant ROI and build trust for entry.
For HR teams , it might be super helpful to delegate interview scheduling , candidate follow-ups and onboarding reminders which are mostly repetitive work. Well done on launch day!!
@dark_hollow_1912 Absolutely! HR has so many of these little tasks that take up a surprising amount of time. 😄 Imagine having an AI employee take care of scheduling, follow-ups and onboarding reminders while the HR team focuses on people and culture. Thanks for the wishes, hollow!
Team @UnleashX I just love the product, very best wishes to the team for the launch. As a customer and a patron of the brand, i highly recommend this :)
@dheeraj_mehndiratta This means a lot, Dheeraj!
Thank you for being a part of the UnleashX journey and for putting your trust in us. Having customers like you believe in what we're building makes all the hard work worthwhile. Really appreciate the support! 😊
I guess everyone's favorite task to delegate to the AI team is going to be the followups and reminders 😆😆 BTW, congrats 👏
@winstonzin Haha, Winston, those follow-ups can definitely pile up! 😄 They're also a great place to start with AI employees. Imagine never having to worry about a lead going cold just because someone forgot to follow up. Thanks for the wishes!
congrats for the launch! Looks solid
@weiss_arnaud Thanks a ton Arnaud!
@richexplorer Thanks Shubham!
payment matching was the first thing we handed to agents, dull and easy to check. do your evaluations keep running after go-live, or only before launch?
@olia_nemirovski That's a smart place to start, Olia. 😄 And yes, evaluation shouldn't stop at launch. With UnleashX, agents can be monitored on an ongoing basis against defined parameters, with performance insights, quality checks, and exceptions flagged for review. The goal is to keep improving reliability as workflows run in the real world. What metrics do you prioritise for payment matching?