Helply
The complete AI-native support platform
542 followers
The complete AI-native support platform
542 followers
Helply is the complete AI-native support platform, rebuilt around agents that investigate, resolve, and take action. Formerly Groove, it pairs a full help desk with agents that issue refunds and hand off when judgment is needed. Unlimited users on every plan.
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Launch Team / Built With
ClarifyThe full-stack AI CRM for modern GTM teams
Promoted
👋 Hey Product Hunt, I’m Alex, founder of Helply.
I’ve spent the last 15 years building customer support software. During that time, I’ve watched great support teams burn hours every day answering the same repetitive tickets.
Billing questions. Plan changes. Password resets. “Where’s my invoice?”
Smart people doing robotic work.
The problem:
Most “AI support” tools don’t actually remove work.
❌ Chatbots that answer simple FAQs but break on real issues
❌ Copilots that draft replies but still require humans to send everything
They look helpful, but tickets never disappear.
Teams still hire. Costs still rise.
So we built Helply
Not a chatbot.
Helply is an AI support agent that resolves conversations end to end.
How Helply is different:
🔹 Guaranteed outcomes
Minimum 65% AI resolution in 90 days or you don’t pay
🔹 Takes real actions
Updates accounts, changes plans, sends invoices, and handles real billing workflows
🔹 Learns directly from your help desk
Syncs articles, macros, and tickets from Zendesk, Front, Crisp, Freshdesk, Help Scout, and Groove
🔹 Improves over time
Gap Finder analyzes real tickets and drafts missing answers so accuracy keeps increasing
🔹 Safe escalations
When unsure, Helply hands off to your help desk with full context and transcript. No guessing
🔹 VIP Concierge included in all plans
Every customer gets hands-on setup in a 1:1 Slack channel with our engineers to ensure Helply actually hits the guarantee
Who it’s for:
✅ Teams handling 500+ tickets per month that want fewer tickets, not just faster replies
✅ Best for teams using a supported help desk
🎁 Product Hunt special
For Product Hunters only:
We’ll build a custom Helply agent trained on your help center, with our engineers setting it up for you, included in an extended free trial.
Drop a comment or say “Show me Helply” and we’ll take it from there 💪
Thank you so much for checking us out!
@alexmturnbull This is genuinely impressive.
A few things that really stand out:
65% resolution guarantee is bold; and rare. Most “AI support” tools avoid committing to outcomes.
Actually closing tickets end-to-end (billing, plan changes, invoices) instead of drafting replies is the real unlock.
The VIP concierge + hands-on setup shows you care about results, not just demos.
From a user POV, this removes friction instead of adding another layer of automation.
This feels meaningfully different from typical AI copilots (and frankly far more useful than tools like Intercom Fin that still leave humans doing the work).
Congrats on the launch; this solves a real problem the right way.
@alexmturnbull @rosekamallove thanks Rose - you are awesome!! :D
@rosekamallove Thanks Rose, really appreciate the thoughtful breakdown. We were very intentional about committing to outcomes, not just the tooling. Glad that came through.
@alexmturnbull Brilliant! Congrats on the launch Alex. How do you handle multi-agent collaboration or handoffs?
Hey @kimberly_ross ! When handoffs are generated, you can send them as tickets to the ticketing system that you currently use (like Groove, Zendesk, Helpscout etc.) or as an email. This allows you to stay within your ecosystem and collaborate in the ways your team already understands. You can always evaluate all chats that your AI Agent had within the Helply app too!
This is impressive, especially the 65% resolution guarantee and actually closing tickets end-to-end, not just drafting replies. Feels meaningfully more useful than most AI support tools out there.
Curious: which ticket types were hardest to get Helply to reliably resolve?
@rosekamalloveGood question. The toughest ones were edge cases where even humans didn’t follow a consistent process. Fix the inputs, and Helply gets reliable fast.
@rosekamallove Thanks! The hardest ones are very often the ones that seem easy, but require a context that is not provided in the Knowledge Base articles. Thanks to the features like Gap Finder and Guidance, our AI Agent can easily tackle those questions reliably. As an example, we have a client that use mentioned features to answer questions for legacy and new tools they provide. Their AI Agent can easily understand what tool is being used by the way the question is asked. If it's still missing that context, it asks a follow-up questions, ensuring very high level of accuracy
@rosekamallove Hey, just wanted to pop in here and say we have been using Helply since August 2025, really only leveraging it since last September. In that time, our Resolution rate, as of right now, sits at 73.5%. Big kudos to @alexmturnbull and his team. We are happy customers.
@rosekamallove @antwonw Thanks for sharing, Anthony! Results like this make us verrrrryyyy happy 😀
A lot of AI support tools promise high automation but the hard part is trust, especially when the AI can take real actions like billing or plan changes. What safeguards and approval logic did you put in place to make sure Helply acts correctly without creating risk for support teams?
@why_tahir Great question. This is exactly the part most AI support tools gloss over.
A few core principles we built Helply around:
1. Confidence thresholds, not blind automation
Helply only takes real actions (billing, plan changes, account updates) when it’s highly confident. If confidence drops below a defined threshold, it escalates immediately with full context instead of guessing.
2. Explicit permissions by action type
Teams control what Helply is allowed to do. You can enable read-only, suggest-only, or execute actions per category (billing, account, refunds, etc.). Nothing is on by default.
3. Guardrails + reversible actions
Actions are constrained, logged, and reversible. No open-ended “do anything” access. Every step is auditable.
4. Human-in-the-loop where it matters
For sensitive workflows, Helply can propose the action and wait for approval. Over time, teams can loosen that as trust builds.
5. Outcome-based enforcement
We back this with a 65% resolution guarantee. If Helply isn’t behaving safely or accurately, that’s on us, not the support team.
Net-net: Helply escalates early rather than risk doing the wrong thing. Trust comes from restraint, not bravado.
@why_tahir love it. great question.
Taking real actions is the part most tools avoid. How do you decide which workflows are safe to automate end-to-end versus those that always need a human check?
@shreya_chaurasia19 Good question. We don’t think in terms of “AI vs human” but risk, reversibility, and confidence. Low-risk, easy-to-undo workflows can run end-to-end. Anything with financial impact or a big blast radius requires confirmation or a human check.
Teams start conservative and loosen controls as Helply proves itself on their data. If confidence drops, it escalates early with full context.
@shreya_chaurasia19 we've found that highly-complex issues tend to require escalation to a human, regardless of what agent you are using. Way too many people were over-eager about dumping everything to AI (see Salesforce admitting that they over-promised). We did a lot of work around making sure Helply can answer questions but also bow out of the conversation when it should. Ideally that's the exception and not the rule, though! In the future we plan to explore having more support for mid-conversation long waiting human-in-the-loop checks for when escalation isn't the answer but you still someone to push the button.
The promise of taking real actions is interesting. What safeguards do you put in place so the AI only changes accounts, plans or billing when the intent is clear and what does the rollback process look like if something goes wrong?
@leonie_fischer We only allow real actions when intent is explicit, confidence is high, and permissions are enabled for that action. Nothing is implicit or on by default.
Every action is scoped, logged, and reversible. If confidence drops or intent is ambiguous, Helply escalates instead of acting.
@leonie_fischer We always suggest to start with "read only" actions (getting the last invoice, subscription status etc.). When our clients are gaining confidence in our agent, they tend to roll more actions in a time. Apart of our internal safeguards, users can also specify when action should run.
Congrats on the launch, Alex 🚀
This resonates a lot; most AI support still just shifts work around instead of removing it.
The guaranteed 65% resolution is bold 👀
Curious: what’s been the hardest workflow for Helply to automate so far (billing, refunds, plan changes, etc.)?
@saurabh_ishere woohoo! Let's go!!! 🚀
@saurabh_ishere Thanks! Totally agree. Most tools just move work around. The hardest workflows so far haven’t been billing mechanics but intent-heavy edge cases. Things like refunds or plan changes where the user is frustrated, unclear, or mixing multiple requests in one message.
The automation itself is solvable. Getting intent right with zero blast radius is the real work, which is why Helply escalates early when signals aren’t clean.
Congrats on the launch @tmorkes @alexmturnbull @jared_scheel !
The guaranteed resolution rate is interesting. Curious how teams usually see adoption in the first few weeks.
@alexmturnbull @jared_scheel @harkirat_singh3777 thanks for the love Karkirat! Let's go!! 🚀
@tmorkes @jared_scheel @harkirat_singh3777 Thanks Harkirat. Early adoption usually comes down to two things:
Where the AI agent is placed in the user journey
Ticket volume
Teams with higher volume that surface the agent in a high-intent spot (help center, contact flow, billing pages) tend to see adoption almost immediately. That’s also why we’re comfortable backing the outcome with a guarantee.
@tmorkes @alexmturnbull @jared_scheel @harkirat_singh3777 As a customer, with the AI agent deployed to 4,000 websites of a web hosting platform, I can say that we have it deployed with the agent closed by default. That said, we have a 73% resolution rate when the agent is used. We have been discussion how to open the chat in a non-intrusive manner to better reduce our support load. Excited to see the potential and growth.
@tmorkes @jared_scheel @harkirat_singh3777 @antwonw Love it, Anthony. Excited to keep optimizing together with the team 🙌