You paste a client's URL. Ten minutes later, their website can talk. That's the whole build.

A white-label AI receptionist is an AI agent an agency installs on client websites under its own brand and bills at its own price, while the underlying product is built and maintained by someone else. Maya is built for that model: you point it at a client's URL, it reads the site and configures itself, you review what it learned, install it, and it's live under your logo — no per-client build, no support burden for the AI itself. You run every client from one dashboard and set your own client price on top of a wholesale rate.

Last updated 2026-07-16

Where reselling a chat widget stops

Plenty of agencies already resell a chat widget or a scheduling tool as a line item. But a widget is a single blade — it answers typed questions, maybe, and stops there. It doesn't navigate the client's site, doesn't speak, doesn't handle an objection, and every client still needs someone to write its FAQ and keep it updated. That setup and upkeep work quietly eats the margin the line item was supposed to generate, and the client notices when the widget gives a stiff, canned answer that doesn't match how their business actually talks.

Maya starts from the other end: point it at the URL, and it reads the client's public pages, catalogue, and structure itself — there's no FAQ for you or the client to write. Calling that "a chat widget you resell" is like calling a Swiss army knife "a blade" — the widget is one small tool; what you're actually reselling is voice and text, hands-free navigation, language switching, lead capture, and booking, bundled into one white-labelled agent, running under your brand from one dashboard across every client you manage.

How white-labelling Maya actually works

URL in, configured agent out — no per-client build — you give Maya a client's website; it reads the public pages, catalogue, structure and connected business data and configures itself. What that means for you: onboarding a new client is a review, not a project — you're not billing hours you don't have to build an AI from scratch.

You review what it learned before it ever talks to a client's visitor — nothing goes live until you (or the client) confirm what Maya understood about the business is correct — and you correct anything wrong in a plain sentence, the way you'd brief a new hire. What that means for you: you're not handing a client an AI you configured blind and hoping it holds up.

It carries the client's brand, not yours or Maya's — the widget, the capture screens, and the hand-off carry the client's logo and colour, read straight from their site. What that means for you: the client sees their own brand talking to their own visitors — you're the agency behind it, not a visible third-party logo undercutting the relationship.

One dashboard runs every client you manage — you install, monitor, and manage every client's Maya from a single multi-workspace dashboard instead of juggling separate logins per client. What that means for you: the operational side of running ten clients' AI agents looks like running one.

It answers, navigates, and captures on every client's actual site — each client's Maya greets their visitors by voice or text in the visitor's own language, drives their site hands-free (scrolling and navigating, right up until checkout or payment), answers from the client's real data, and captures the visitor who was about to leave. What that means for you: what you're reselling is a working revenue layer on day one, not a chatbot the client has to finish configuring themselves.

You buy wholesale, bill retail — you set the client price — the agency rate sits below the €299/€499/€799 retail tiers, and what you charge each client is entirely your call. What that means for you: it's a recurring line item with a margin you control, not a revenue-share arrangement you have to negotiate per client.

It tells you what each client's visitors kept asking for — every client's Maya surfaces the questions it couldn't confidently answer, which doubles as a running list of what that business's customers actually want. What that means for you: a genuinely useful monthly talking point with the client, not just an invoice.

What happens when Maya doesn't know the answer?

This is the question every agency has to answer before putting its name on an AI: what happens when it doesn't know something on a client's site? Maya checks its answers against that client's own approved information before responding. When it can't verify something, it says so instead of guessing, offers the visitor the right next step, and flags the gap in the dashboard you manage. You or the client can teach Maya the correct answer in one sentence.

What that means for you: you can put your agency's name on Maya without inheriting the risk of it inventing a client's prices or policies. A wrong guess from an AI you resold is the kind of call that costs you the account — abstention is what makes white-labelling this safe instead of a liability you're hoping never surfaces.