An AI FAQ agent that answers customers automatically on WhatsApp and your website, and hands off to your team the moment a person is needed.
One bot brain across every channel, with a clean handoff to a real person whenever it matters.
This is a no-code build on the AI Lead Builder platform. There is no custom software to maintain. The only code involved is a small chat-widget snippet the platform generates for us to paste into your website.
A single fixed fee. Everything below is built, tested, and live.
Full disclosure, no hidden fees. We recommend one predictable flat figure.
Recommended: predictable flat monthly
| Item | Monthly |
|---|---|
| Platform / sub-account subscription Your existing-subscriber rate |
$47 |
| WhatsApp integration | $15 |
| Unlimited AI add-on No per-message AI cost, any volume |
$115 |
| Total, fully predictable | $177 / mo |
The unlimited AI add-on removes any per-message AI cost. You pay one flat figure no matter how many conversations the bot handles. This is the option we recommend, because it is predictable and it scales with you.
Alternative: pay-as-you-go, very low volume only
If your volume is very low, roughly under 575 conversations per month, pay-as-you-go can work out cheaper. AI usage is billed at $0.05 per message, and a typical conversation runs about 3 replies, so roughly $0.15 per conversation.
Once volume climbs past roughly 575 conversations a month, the $177 flat option is both cheaper and predictable, so we recommend starting there.
Right now, inbound customer messages and the bot's replies inside the 24-hour service window are free.
Meta is introducing a small per-message service charge from approximately 1 October 2026, roughly 1 to 1.5 US cents per message, with the exact rate confirmed at setup.
Meta also updates its per-message rates periodically and by market, so these figures can change over time and vary by country. We confirm the current rate for your region at setup and flag any material change.
This is a small addition on top of the figures above. We are flagging it upfront so there are no surprises later.
When a customer wants a person, the bot steps back and your team takes over cleanly.
Three things before we build. The bot is only as good as what we feed it.