AI help desk software
AI help desk software splits into two honest categories: tools that answer the customer directly, such as Intercom Fin and Zendesk AI, and tools that draft a reply for a human to check and send, such as Help Scout AI and AcornReply. Which you want depends on whether a wrong answer costs you more than a slow one.
Every help desk advertises AI now, and the label covers two products that do opposite things. One answers your customer without you. The other writes the reply and waits for you to read it. Feature lists blur that line. Your customers will not.
Each tool below is labeled by which of the two it really is, and by what it grounds its answers in. The grounding matters more than the model name: an AI support tool is only ever as accurate as the help content behind it.
What is AI help desk software?
AI help desk software is support software with a language model wired into the reply path, and it arrives in two shapes. Resolution tools (sold as deflection or as AI agents) answer the customer directly from your help center and product docs, handing over to a human when confidence drops. You buy those to reduce the number of conversations a person ever sees. Drafting tools (sold as AI assist) write a reply in your tone, cite the article they used, and leave a human to edit and send. You buy those to reduce the minutes each conversation costs. Both are grounded in the same raw material, your knowledge base, and neither can invent a policy it was never told. The smaller AI features around them, tagging, summarizing a long thread, suggesting a saved reply, are useful but are rarely the reason to switch tools.
AI help desks, and which kind of AI each one is
Read every row against one question: does this tool answer your customer, or does it write for you?
| Tool | Best for | Pricing model |
|---|---|---|
Intercom Fin Answers the customer directly and deflects more than anything else here. You pay per answer, which is honest and adds up at volume. | Teams that want AI to resolve tickets outright | Per seat, plus a charge per AI resolution |
Zendesk AI Agents, copilot drafting and intent routing layered on Zendesk. Sensible if you are already there, not a reason to move there. | Existing Zendesk customers adding AI to a live desk | Add-on, per agent |
Freshdesk Freddy Covers resolution bots and reply suggestions. What you get tracks the tier you buy more than the product name suggests. | Freshdesk customers wanting both a bot and agent assist | Add-on tiers on top of per agent pricing |
Gorgias Automation aimed squarely at order status, returns and refunds, wired into the store. Excellent in that lane, narrow outside it. | Ecommerce teams whose questions are order-shaped | Per ticket, tiered |
Help Scout AI AI assist rather than an autonomous agent: drafts, tone edits, thread summaries. Modest in scope and correspondingly low risk. | Light drafting and summarizing inside a shared inbox | Per seat, tiered |
AcornReply Drafts from your own help center content and a human always sends. Auto-reply exists, but it is opt-in and off by default. | A small team that wants every reply drafted in its own voice | Flat per workspace |
When a resolution bot beats a drafting tool
If your goal is that a person stops touching most conversations, a drafting tool cannot get you there by design, because somebody still reads and sends every reply. A resolution tool priced per resolution is the honest recommendation, and Intercom Fin is the strongest of them. That is the right trade when volume is high, questions repeat, and a wrong answer costs you little. It is the wrong trade for a small brand whose reputation rests on a few dozen relationships, where a human on the send button is worth more than the minutes it costs.
Frequently asked questions
Will AI answer my customers without me?
Only if you buy a tool built to do that and switch it on. Resolution tools such as Intercom Fin reply to the customer by design. Drafting tools write the reply and stop, so nothing leaves until a person sends it. AcornReply is a drafting tool: auto-reply exists, but it is opt-in and off by default, so out of the box you get a draft waiting for you.
Is AI support accurate enough?
Accuracy comes from grounding, not from the model. These tools answer from your own help center articles, saved replies and past conversations, so a well-maintained knowledge base yields good answers and a thin one yields confident guesses. Drafting keeps a human between the guess and the customer, which is why it is the safer place to start while your help content is still being written.
What is the difference between an AI help desk and an AI chatbot?
A chatbot is one channel: a widget on your site holding a real-time conversation. An AI help desk is the whole support tool with AI in the reply path across email, chat and forms, working from the same knowledge base and the same history. A chatbot can be one part of it. The distinction that matters more than either label is still resolution versus drafting.
Does AI support need a knowledge base?
Yes, and building one is the highest-leverage work you can do before buying anything. With no articles describing your policies, an AI reply is generic at best and wrong at worst, because there is nothing to ground it in. Ten well-written articles covering your most common questions will improve drafts more than switching vendors would. Most tools, AcornReply included, cite the article behind a draft so you can check it before sending.