Zoona AI - Automated support that learns from docs + past conversations
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Sluggish, bloated, legacy support tools are dead. Zoona is support for modern teams — it learns from your docs and past conversations, then resolves 60%+ of tickets the second they land. No backlog. No burnout. No endless hiring to keep up. When it does need a human, it hands off with full context so the customer never repeats themselves. This is support that scales with you, not against you. Train it, go live, done.
Replies
SparrowDesk
Hey Product Hunt! 👋 Excited to finally share this with the world.
Honest origin story: we used other support platforms for years, and we were constantly frustrated - bloated UIs, slow as hell, features buried under features, and pricing that made no sense for a startup.
So we built SparrowDesk the way we always wished those tools worked.
The centerpiece is Zoona, our AI agent that actually handles support end-to-end - not just suggests replies, but resolves tickets. Across Slack, WhatsApp, chat, email, and your help center. One setup, everywhere your customers are.
Here's what makes Zoona different:
🧠 Train from anything
Connect your help articles, URLs, documents, Notion pages — Zoona learns from all of it and stays up to date as your product evolves.
⚡ Commands that take action
Zoona doesn't just answer questions. Use commands to make your AI agent trigger API calls, update records, create tickets, and take real actions inside your stack.
✍️ Copilot for your team
Get AI-suggested replies, instant conversation summaries, and a copilot that helps your agents close tickets faster — without burning out.
📚 Self-healing knowledge base
Our copilot analyzes resolved conversations and automatically rewrites + improves your knowledge base. Your docs get smarter every day without anyone lifting a finger.
We built this for startups who want enterprise-grade support without the enterprise-grade pain.
And if you're a startup - we have a special program just for you: sparrowdesk.com/startup
Would love your honest feedback — the good and the brutal. Ask me anything! 🙏
ThriveSparrow
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.
SparrowDesk
@its_grs Thanks for the support.
@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?
SparrowDesk
@moh_codokiai humans are still better at empathising, troubleshoot technical issues - because they are humans and they have more access/context to connected systems and knowledge.
AI Agents are good as how much info you give them and how much access you give them.
But AI Agents have come long way. Dealing with bigger context, doing agentic actions - exciting times ahead
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!
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!!
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?
SparrowDesk
@doganakbulut Yes. Not just that - we keep your knowledge fresh, always. From the resolved conversation - Zoona can update your knowledge base, taking over the boring task from knowledge authors.
@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?
SparrowDesk
@josh_bennett1 the entire conversation, proof of work done by AI Agent, Summary is transferred to human agents. And even after transfer - Zoona can suggest responses based on customer's new messages. So, the AI enablement does not stop at handoff
@josh_bennett1 @georgejustin22 The full conversation + proof of work at handoff is what really matters. A summary is inherently lossy. Have you seen this improve agent response quality in practice?
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.
SparrowDesk
Thanks @jazib_mahmood1 . Ayesha told me about the bet you guys had :D
Tried it for my startup recently and found it easy to set up, use, and integrate with our workflow.
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.