Vantage finds processes in a company that they do manually with humans, and suggests an AI loop that does it for them and also keeps improving itself based on results. Then AiDOOS builds the loop. It works best from the company's own tools like Sales or project management tools. But nobody connects their tools to a product they have never seen, so the first report uses only public data: the website, job posts and reviews. That gives value before we ask for anything. The hard part was getting a stranger to believe it.
aidoos.com/vantageThe first version of Vantage read a company and suggested new things to build. Then we talked to distributors, and leaders from a past client... they told us what they really wanted. Nobody asked for a new idea. They were more worried about the automation they are building, is not proving its value.
So, we decided to solve that problem, we call it closing a loop. A loop is an agent doing the work and keeps checking its own results against a goal and keeps improving and iterating until it gets there. An automation does one task. A loop gets you the result.
So Vantage now puts those loops first. It starts with what a company shows in public, then reads its own tools once they are connected. If a distributor is hiring people to process orders, and its order records show the same mistakes again and again, Vantage connects the two and suggests a loop that fixes it. Once they approve, AiDOOS builds it.
The first screen
The page starts with a number most leaders already feel: 85% are spending more on AI, but only 22% have scaled it. The Gartner source sits right under it, so it reads as a fact and not a sales line. Then one sentence on how it works.
“Loop” is a new word for most people who land here. The page needed one picture that explains it before anyone reads a sentence. It took a few tries.
A loop has to come back around, so the runner goes on a full lap. The first steps are the plan: where you are, the goal, the rules, what you can change. The last three are the feedback: what happened, was it better or worse, and what to change next lap. That part is drawn in amber, so you can see the lesson going back to the start.
Who it's for
The landing page lists eight industries, and each one opens its own page. Every page uses the same layout and the same loop picture. Only the work inside the loop changes: orders for a distributor, claims for a clinic, tickets for an IT desk.
Once they enter their domain, a spinner was the easy thing to build and the worst thing to show. Nobody trusts a box that goes quiet for four minutes and then hands back an answer.
So we let them watch. Real sites go past, ramp.com, brex.com, navan.com. Counts climb against real totals, 94 of 148 notes, 127 sources read. The steps that have not run yet are listed too, greyed out, because that is what makes the finished ones believable. By the time the report lands they have already seen it do the work.
And then the report
The first thing under the headline is a short note. It says this is an outside read, so every number is a range. Next to it is one button: connect your tools. The public report is only a first taste. The real product runs on their own data, and the note says so before they read a single loop.
One loop is open. The other two are blurred, but their names and numbers still show. So the email is not buying a promise. It is buying something they can already see.
Numbers only appear when the evidence supports them, and only as a range. Five job posts for clerks with a listed salary gives a range, with the reason written under it. No evidence gives “high impact, low effort” and no number at all. Every part of the card comes from what the AI can honestly produce. If it cannot back something up, it is not on the screen.
Each loop opens into its full case: how it runs, every piece of evidence with where we found it, what it needs, and what we are assuming. The assumptions do the most work. “We could not see your invoice volume” is exactly what makes the rest of the page believable.
They distrust it because they cannot see how it got there. The waiting screen and the "built from outside" note did more for trust than a smarter answer would have.
The first Vantage suggested big ideas. The calls with distributors asked for something smaller: fix this one process. The product got more useful when it got narrower.
I made a boat, a trail and a runner on a bend before I noticed they all went one way. The idea only made sense once the picture closed.
One exact number looks confident until someone checks it against their own records. A range with its reason written underneath still holds up after they check.
Every screen, state and mobile view, plus the tries that didn't make it, are in the design file.
Open the design file in PaperPick a time below. No back-and-forth required.