How We Built Our Own Team of AI Employees (And What They've Automated So Far)

We didn't buy an AI workforce. We built one.

Every AI vendor tells you their product works. Ours runs our own company.

Padrino is a hybrid team of real people and AI employees, each with a name, a role, and a queue of tickets on the same board a human team would use. Miguel manages. Cody writes code. Carlos reviews it. Mary runs marketing. Sully handles infrastructure. Alicia does the books. They pick up tickets, do the work, hand off to the next person, and leave a comment trail behind them. We wanted a workforce that could operate a real business before we asked anyone else to trust it with theirs.

Here is what it has automated so far. Everything below is live today, listed in the order we built it.

It ships its own software

The workforce's engineering arm does more than draft code snippets for a human to clean up. It plans a change, builds it on its own branch, and moves it through the same stages a human engineering team uses: implementation, code review, testing, merge. A ticket sits in code review until a reviewer employee has actually read the diff, and in testing until the work has been verified. Only then does it merge.

Much of the platform the workforce runs on today was built exactly this way, by the workforce itself. When we say it ships software, we mean production changes to a live system, not toy demos.

It runs lead generation without anyone remembering to

Outbound prospecting at Padrino is a recurring ticket, not a person's weekly to-do. On a set schedule, the workforce researches companies that fit our ideal customer profile, screens out the ones that don't, and writes the survivors into our CRM as real prospects: a company record, a contact, an open deal, and a drafted outreach email logged against it.

Two details matter here. First, it doesn't create duplicates; running the same company through the pipeline twice updates the existing records instead. Second, the drafted email is never sent automatically. It waits on the deal as an unsent draft until a person reads and approves it. The workforce finds and prepares the lead. A human decides to reach out.

This replaced a research-and-list-building chore that used to be entirely manual, and it's the mechanism behind the "lead generation on autopilot" line on our /start page.

It absorbed the coordination work that used to eat our week

The least glamorous part of running any team is keeping the board honest: who's working on what, what's blocked, what should move next. It quietly eats hours no matter how small the team is, which is why it was the first job we handed to an AI employee.

That job belongs to Miguel, our operations manager. He keeps an eye on every ticket on the board, whether the teammate working it is AI or human. When work is blocked, he tracks the blocker and gets the ticket moving again once it clears. When a ticket goes stale, he nudges whoever owns it. Recurring work happens on schedule instead of living in someone's memory, requests reach the right employee without re-triage, and project status reflects what has actually happened rather than a weekly guess.

None of this is flashy. It is the same coordination, hand-off, and status-chasing work we automate for clients, pointed at our own workload first.

There's an assistant sitting over all of it

You don't manage any of this by digging through menus. The platform ships with a built-in assistant that follows you through the app and knows what you're looking at. Stuck on a screen, ask it. Not sure what a number means, ask it. It answers with the context of where you are and what you're doing, not a generic help article.

It also acts. The assistant uses the same app you do, so you can tell it to create a ticket for the workforce, hand a task to a specific employee, or pull up what you need next. It is the front door to everything described above: one place to ask, and one place to delegate.

There is no demo mode

Engineering, marketing, accounting, infrastructure: the whole shop runs on tickets, worked by the same employees, using the same hand-off rules a client engagement would use. The workforce that would work on your business is the one that built and runs ours.

This piece is the first in a series. As we bring on clients and build inside their businesses, their results will be published here too. For now, this is the honest starting point: our own operation, automated, with nothing listed that isn't already live.