AI receptionist
The front desk that never has three people waiting.
Answer the routine questions accurately, route the rest to the right person, and stop losing people to hold music.
Most reception traffic is not complicated. It is repetitive, constant, and expensive to staff at the level required for the ten percent that genuinely needs a human.
The problem
What actually goes wrong at the front of house.
Reception fails in ways that are invisible on a report but obvious to a customer.
Peaks are unstaffable
Saturday morning does not resemble Tuesday afternoon. You either overstaff most of the week or underserve the busiest hours.
Routing is guesswork
Sending someone to the wrong department is worse than a wait, because they have to explain themselves twice.
Nobody logs the routine ones
The conversations that get handled verbally leave no record, so the same question gets answered from scratch forever.
How Mako handles it
What Mako handles at the front.
Accuracy on the routine, and a clean handover on everything else.
Answers from your actual information
Hours, location, availability and process come from what you configured, not from a model's general impression of how dealerships work.
Routes on intent, not keywords
It works out what the person is actually trying to do before deciding who should handle it.
Says what it does not know
When something is outside what it has been given, it says so and hands over. It does not fill the gap with a plausible guess.
Everything is written down
Every exchange is captured, so the pattern of what people keep asking becomes visible instead of anecdotal.
One engine
This is a use case, not a separate product.
Everything on this page is the same Mako Engine, pointed at this job. That matters, because it means the thing answering here knows the state of the deal rather than running a script for one narrow task.
Being straight with you
Want to hear how it handles your questions?
Tell us what you actually need handled and we will tell you honestly whether this fits.