The phone rings through the lunch rush. Nobody can grab it.

It connects to the mainstream reservation platforms — and reads your real availability, so it never promises a table you don't have. If you run bookings off a paper diary, the build usually includes getting you onto a system the agent can talk to; that's scoped in the discovery call.

It knows what you teach it: menu, dietaries, hours, parking, the courtyard rules, whether the duck is back on. Anything it genuinely can't answer, it takes the caller's details and gets a message to you — so even the curliest question becomes a captured enquiry instead of a hang-up.

It captures them properly — numbers, date, occasion, budget ballpark, contact — and routes them to whoever handles functions, flagged as the high-value enquiries they are. No more function leads dying in a voicemail box or a DM from last Tuesday.

Most hospitality builds are live within a couple of weeks of quote acceptance, and your time investment is a discovery call plus tasting-menu-length sessions to approve what the agent says. It typically starts on after-hours and overflow calls — where you're currently missing everything — before taking the front line.

ChatGPT is a brilliant general tool — but it doesn't answer your phone, book into your calendar, follow up a quiet lead at 9pm, or know your prices and your rules. The gap between a clever chat window and something that reliably runs a slice of your business is the entire job. We build that second thing: wired into your systems, set up around how you actually operate, working while you're on the tools. Anyone can open ChatGPT; making it do real work in a real business is a different thing.

Usually because the tool was bought, not fitted. An off-the-shelf app does the easy 20% and leaves you to wire in the 80% that's specific to your business — and that's where it dies, a few weekends in. We start from where AI genuinely pays off for you (sometimes the honest answer is "not here yet"), build it into your actual workflow, and stay on it so it keeps working when something upstream changes. You're not buying software and hoping — there's an operator accountable for the outcome.

We design it to fail like a careful employee, not a confident one. It works inside rules you set, hands off to a human when it's unsure instead of bluffing, and logs everything so we can see misses and tune them out. You hear and approve it before it ever goes live. The bar isn't "perfect" — it's "reliably better than the missed call or the enquiry that sits in an inbox," and you can watch it clear that bar.

Your data is yours — we host it, we never own it, sell it, or use it for anything beyond running your solution. We keep it on Australian-hosted infrastructure wherever the platforms allow, and document exactly what's stored where so your privacy policy can say so accurately. If a part of the build can't meet that standard, we tell you in design, not after.

No — working that out is our job, and it's where the operator background earns its keep. Most owners know the symptom ("we're missing calls," "leads go cold") not the fix. We look at how your business actually runs and tell you honestly where AI pays off and where it doesn't. You don't need a spec; you need the problem. We bring the rest.

Most basic builds are live within about 14 days of you accepting the quote. Bigger, multi-system builds take longer, and we give you a real timeline up front — not a hopeful one. We'd rather it land working than land fast, but for the common starting points, fast and working is the usual outcome.