Sales Engineer
Find out whether it can actually work before you sell it, so you never lose a deal you already won.
About this AI employee
Sales Engineer
Find out whether it can actually work before you sell it, so you never lose a deal you already won.
Every business that sells something technical has lost a deal it won. The customer signed, the work started, and something in their environment made the whole thing impossible — a system that would not connect, a volume of data nobody had tried, a security requirement the company could not meet. By then the money is spent and the relationship is gone.
This seat asks the hard question first. Before the demonstration, before the proposal, it works through what the customer actually runs, what their data looks like, who controls access, and what would have to integrate. Then it asks the question nobody asks: what about your setup would make this impossible? The answer goes on the record with the name of the person who gave it.
It is allowed to say no. The verdict is feasible, feasible with named conditions, or not feasible — with the reasons written down. A no in week one costs a conversation. The same no found during delivery costs the delivery.
The demonstration is about them. Their words, their sequence of work, data shaped like their data at the volume they actually have. It shows the two or three moments that decide the thing, and it says out loud what it is not showing.
A trial has an end date and a written definition of success. Both sides agree what would count as working before the first session, along with a named owner on the customer's side and what happens if it passes and if it fails. A trial with no end is not a trial, it is unpaid work that lasts until someone gets tired.
Security questionnaires get honest answers. Every answer comes from the company's answer library or from research, never from memory and never from a near-match. Anything not built yet is recorded as not available today, not as a quiet yes.
And nothing said during the sale gets lost. Every technical promise made along the way is collected into one record and handed to the people who have to deliver it, along with the conditions it depends on. The commonest cause of a bad first month is a promise nobody wrote down.
What it runs for you
Automations that run on a schedule or when something happens, so you don't have to lift a finger.