Customer service
Email and chat support agent
An AI agent answers routine customer emails and chats from your help docs and order data, then hands anything unusual to your team with notes.
Voice/chat agent
Customer service · Agent
Help articles written from solved tickets
AI help center articles drafted from support tickets
Finds questions your team answers again and again, then drafts help-center articles from the best solved tickets for an editor to approve.
01 today
The problem
Your best answers are buried in closed tickets that only one agent remembers. The help center was written at launch and has drifted out of date. Nobody has time to write new articles, so customers keep asking the same questions.
02 the run
What the AI does
- Step 1: Groups recently solved tickets in Zendesk, Intercom or Freshdesk by the question being asked.
- Step 2: Checks your existing help center to find questions with no article, or with an article that gives a different answer from your team.
- Step 3: Drafts a new or updated article from the replies that solved the problem, in plain steps and your house style.
- Step 4: Strips out customer names, order numbers and other personal details from the examples.
- Step 5: Sends each draft to the article owner in your help-center tool or Notion, with links to the tickets it came from.
paused: waiting for a person to approve
03 human in the loop
Where a person approves
A named editor on your support team reviews every draft for accuracy and tone. Nothing is published to the help center until they approve it.
04 after
What changes
The help center keeps up with what customers really ask. Agents link to an article instead of rewriting the same answer, and knowledge stays with the business when people move on.
Results from a real build
[CASE STUDY] We only publish results we can name and check with the client.
see also
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Tell us how your business runs. We'll tell you where AI fits.
A free 30-minute call. You talk, we ask questions, and you leave with a few concrete ideas — or an honest answer that AI isn't the right fix yet.
Working with teams in the United States, United Kingdom and Australia.