Zoona AI

Automated support that learns from docs + past conversations

Customer Success

Customer Communication

Artificial Intelligence

Vercel Day

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@kevin The product makes sense, but I wonder if the future customer support team even

looks like today's support team.

If Al ends up handling most inbound requests, do you think support eventually becomes a product and operations function rather than a customer service function?

Curious how your customers think about that shift.

@georgejustin22 The self-healing knowledge base sounds powerful, but also slightly risky.

If Zoona learns from thousands of customer interactions and continuously updates documentation, who ultimately owns the truth: the documentation team or the Al?

Feels like there could be interesting situations where the Al discovers patterns and solutions before the company officially documents them.

J'ai pu tester Zoona récemment et franchement, ça m'a agréablement surpris. L'interface est agréable à utiliser, la gestion des tickets ne demande pas de prise en main particulière, et l'IA est vraiment là où on en a besoin pas juste pour faire bien sur la fiche produit. Vivement la suite pour voir comment les équipes vont s'en emparer. Beau travail pour ce lancement !

The "learns from past conversations" angle is underrated. Most support bots reset context every time. Does this work across channels like WhatsApp or just web widget? Congrats on the launch!

Learning from past conversations is the bit that matters. Docs alone miss all the weird customer phrasing where support actually happens.

Learning from past conversations is the key part here. Docs alone rarely cover the messy edge cases in support. Curious how much review control teams get before Zoona starts replying live.

Spent some time this week red teaming support chatbots,

Sparrow's ZoonaAI held up to everything. Asking it to repeat its instructions, rephrasing the request a dozen ways, sneaking it through a translation, getting it to "autocomplete" its own prompt , nothing worked. Genuinely well built. Congrats to the @SparrowDesk team, and @ayesha_kulsum_s_j . 👏

Then there was Zomato's bot, which made me laugh.

I'd spent ages trying to reach a human for a delivery issue ,it kept getting told all agents were busy. So on a whim I asked for its system prompt.

It transferred me to a human instantly.

It's funny that the magic word for reaching a human wasn't "human" five times over. It was "what's your system prompt."

Support bots are getting harder to crack than they used to be.

@georgejustin22 A lot of support tools promise faster responses.

What’s more interesting here is the claim that customers never have to repeat themselves when a human takes over.

In practice, that handoff is where many AI support experiences fall apart.

How much context is actually transferred to the human agent, and have you measured whether customers feel the transition is seamless versus just receiving a conversation summary?

@georgejustin22 Resolving 60%+ of tickets automatically sounds impressive, but I’ve always found the hardest support tickets aren’t the repetitive ones.

They’re the edge cases where a customer explains something in an unexpected way, where the issue spans multiple systems, or where policy and judgment matter.

What types of tickets have you found Zoona consistently struggles with today, and where do you still believe humans are significantly better?

An AI-first help desk that cuts down on searching sounds great for support teams. Does SparrowDesk pull answers from your existing docs and tickets?

Just checked out Zoona AI and the setup experience genuinely surprised me! No complex configurations, no developer dependency- it felt like something any support team could get running on day one. This is the kind of simplicity that support teams would require. Great work, team!

Congrats on the launch. The past-conversation learning part is the interesting bit for support teams. How are you handling the boundary between what Zoona can resolve automatically and what needs human approval or owner sign-off?

Tried Zoona for a bit and the first thing that stood out was how polished the experience feels. The inbox workflow is intuitive, and the AI seems focused on actually helping resolve tickets rather than just being a flashy add on. Curious to see how teams adopt it over the next few months. Congrats on the launch!!

Clean UI and snappy experience. I especially love the flexibility to switch between a table like inbox (which is a bit dated admittedly- but has its rightful keepers - and a more modern inbox for more - chatty teams! ). Yet to take the AI agent to full spin, but the ability to create agents for more than one product/ service from one single account looks interesting.

I tried SparrowDesk and was impressed with the overall experience. The design is clean, intuitive, and easy to use, making ticket management simple and efficient. Beyond the great user experience, the product feels fast and responsive, even when handling a large volume of tickets.

It’s clear that a lot of thought has gone into both the design and the underlying performance.

Gave Zoona AI a try and it really stands out. The UI/UX is clean, intuitive, and genuinely easy to use from the first click. No fumbling around to figure things out, which is rare. The AI responses also felt useful right out of the gate and the setup was way easier than I expected. Looking forward to exploring more. Excited to see how Zoona evolves. Congrats on the launch!

Been using SparrowDesk and it's been impressive so far. Clean UX, useful AI capabilities, and a strong focus on productivity. Excited to see where SparrowDesk goes!

The UI looks great and the timing is interesting too. With Fin heading into Salesforce, a lot of teams are about to re-evaluate their support stack, and a focused agent like Zoona is well placed to catch that wave. Strong first impression. All the best with the launch.