Your tickets already know
what your help center is missing.
Most support AI stops where your knowledge base stops. Aide classifies every conversation by intent, so it shows exactly where your knowledge falls short: the question no article answers, the doc that went stale when the product changed, the gap driving repeat tickets. Then it helps your team close them.Powered by the Customer Intent Engine, trained on your real conversations, not your KB, and the Continuous Learning Engine: gaps surface automatically, and your team reviews every improvement before it ships.What ticket-driven knowledge management looks like
Your help center was written once. Your product keeps changing, and your tickets record every place the two have drifted apart. The Customer Intent Engine reads that record: Aide resolves what it can and shows your team exactly what to write next.
Knowledge you can trust in production
An AI that answers customers is only as good as what it answers from. Aide keeps every answer inside the knowledge your team approved, and shows exactly where each one came from.Works with your existing stack
One click into your helpdesk, where your answers ship. Existing knowledge imports from Zendesk, Gorgias, Intercom, and HelpScout, so the articles and macros you already have are day-one material.
Imports your Guide articles and macros, and answers with them.
Grounded answers in the shared inbox your team already runs.
Imports your Help Center and macros in one click.
Live product and order data that keeps answers accurate.
Store and catalog context, read natively from your store.
Account context so answers fit the customer, not just the doc.
Frequently asked questions
No. Aide resolves intents using the knowledge your team maintains, and the Customer Intent Engine shows which intents lack coverage. Your help center stays the source of truth: Aide shows you exactly what to fix, then puts every fix to work in the next conversation.
The Customer Intent Engine classifies every conversation by intent, then maps those intents against your existing content. An intent with rising volume and no covering article is a coverage gap. An intent where tickets keep arriving despite an article usually means the article went stale. Both surface to your team automatically, with the evidence attached.
Yes. Aide drafts articles from how your team actually resolved those conversations: the steps that worked, in the language customers already used. Your team reviews, edits, and publishes. Nothing goes live without human review.
Your help center articles, macros, product catalogs, and custom instructions. Existing knowledge imports from Zendesk, Gorgias, Intercom, or HelpScout in one click, so what your team has already written is the starting point, not a rewrite.
Yes, and this is where AI limited to the knowledge base falls short: technical products change fast, docs drift, and the long tail never gets written down. Aide resolves technical questions from your knowledge plus the customer's account context, and intent analysis shows which technical topics need documentation next: API usage, configuration, error messages, ranked by volume.
You never have to wonder what the AI did or why. Action Trace shows which article, macro, or instruction each answer drew from, per conversation. When the approved knowledge does not cover a question, Aide escalates to your team instead of guessing.
Yes, and that is the point. The queue is not the goal, fewer tickets is the goal. Closing a knowledge gap is upstream work: the missing article gets written once, the stale doc gets fixed once, and the repeat tickets behind them stop arriving. The Continuous Learning Engine keeps surfacing the next gap, so month six is measurably better than month one.
In days, not months. Most teams connect their helpdesk and import their existing knowledge within 24 hours, then go live on their first intent within days. You expand coverage at your own pace.
Get a demo for pricing.
Helpdesk and knowledge, defined
The vocabulary of support knowledge operations, from macros to coverage, defined plainly.
Turn your ticket queue into your best knowledge source
Coverage gaps found, articles drafted from real resolutions, and content kept current, all from the conversations your team already handles.