All of Adoomi: the channels, the controls, the workflows and the insights.

One line added to your website puts the Adoomi chat window in front of every visitor: answers 24/7 in the customer's own language, drawn only from the pages and FAQs you approved, and a handover to your team the moment a question goes past them. The chat window adds under 32 KB to a page and sets no tracking cookies.

When a conversation needs a person, Adoomi offers to continue it on the WhatsApp number your team already answers. The original question and every detail already captured travel across, so the customer never repeats themselves and your team never opens a blank chat.

Voice is a waitlist entry at Adoomi, not a product: there is no phone agent to switch on, no launch date and no price announced. What is live is the chat window on your website, which catches the after-hours enquiries that arrive through search — and if your work is overwhelmingly phone-first, this page will say so and point you at a human answering service instead.

Adoomi emails your team when a lead is captured, when a conversation needs a human and when the assistant meets a question it cannot answer — and only for the events you switch on. Each alert carries the question, the captured details and the page context, so whoever opens it can act without logging in anywhere.

Adoomi crawls your public website pages and takes PDF, Word and plain-text uploads, then shows you the whole source list before any of it answers a customer. Retraining runs on a schedule and again when a source changes, so a corrected page reaches the assistant without anyone rebuilding anything.

Every answer comes from content you approved and reviewed before go-live. Anything outside it — a clinical question, a price that needs a site visit, anything sensitive — becomes a handover to a named person, carrying the question and the customer's details with it.

Set how your assistant sounds to customers, from formal and precise to warm and chatty. Each channel can sound different, so the chat window on your site need not read like the summary your team picks up.

Adoomi reads the language of each customer message and replies in that language, drawing on the same approved content you already publish. There is no language list to maintain and no translated copy of your site to keep in sync.

Adoomi answers the questions that come before a booking, captures who is asking and what they need, then points the visitor at your own Calendly link. The slot list, the confirmation and the reminders stay with Calendly.

Adoomi turns visitor questions into structured enquiries: contact details, what the customer needs, and the context around it. Details are asked for when the conversation calls for them, never as a form standing in front of the answer.

Adoomi answers the shop questions your published content already settles — specifications, delivery options, returns and refunds, sizing and care — and captures the ones that need a person, in the customer's own words. There is no live stock feed and no order lookup, so this page is as much about what it will not answer as what it will.

Adoomi connects to your website, WhatsApp, email, Calendly, any webhook endpoint you name and, through Zapier, the thousands of apps in Zapier's own catalogue. There is no native CRM connector, so this page lists each connection with what it does and exactly where it stops.

Every chat the assistant has is kept in your dashboard in full, including the point where it handed over to a person. Filter by feedback, date, unanswered questions, leads or source — or search the lot.

When a customer asks something your approved content does not cover, the assistant hands the question to a person rather than guessing — and records it as a knowledge gap. The list is what customers came looking for and did not find, so you can write the page that answers it.

A rating left in the chat window stays with the conversation it came from, so a review session can start at the answers customers marked unhelpful. Read the exchange behind each one, then fix the page that produced it.