01 The hire
Your new marketer starts in the queue: drafts, briefs, landing pages. Your team corrects everything it gets wrong, and every correction becomes part of an asset your company owns. Not the vendor's product. Yours.
Own your intelligence
Everyone rents intelligence by the token. You can own the thing itself: a model trained on your business.
Practical Intelligence builds AI hires into your operations. They learn your business from your people, get promoted onto your own model, and stay yours if we ever walk away.
Or pick an AI hire on the right, then scroll: you ride together from the lobby to the corner office.
How it stays yours
Watch the hire your business keeps.
02 The operator
Now it writes in your brand voice and knows which claims legal will kill. That knowledge exists nowhere else. Nobody can buy it, and nobody can take it with them when they leave. It accrues to you.
03 The corner office
The promotion: we train your model on everything your marketer has learned, and your marketing runs on it. The frontier still handles the hardest calls. If we walked away tomorrow, the model, the record, the agents: everything stays with you. In the marketing file, this stage runs at ~$5.3M a year, math shown.
Choose your first AI hire
The payroll
What is renting costing you?
One number: what you pay for AI each month. We will show what the repetitive share returns, per year, once it runs on a model you own.
Who do you rent from?
What do you pay them, monthly?
$60,000+An ops hire
$150,000+A senior hire
$400,000+A leadership hire
$800,000+A whole team
$2,000,000+A new department
Back in your pocket, every year
~$77,000
That is an ops hire, every year, and 3 to 7x faster on the routed work.
Routed work compounds: the published files show ~$2.4M and ~$5.3M a year.
Straight answers
What owners ask.
General assistants raise the floor for individuals, and they are worth having. But they compound for no one. Nothing your team teaches them accrues to your company. An owned system starts where they stop: it is built into your workflows, held to your numbers, and it keeps what it learns.
The opposite. When a better model ships, your system inherits it, and everything you have encoded rides on top: your agents, your operating record, your model. Better frontier models make owned systems more valuable, not less.
Concretely: the agents running your workflows, the operating record they learned from, the eval suite that defines what good means in your business, and the model trained on it, deployable in your own cloud. If the engagement ended tomorrow, your team or any vendor you choose could run all of it without us.
It starts with a fixed-fee Audit: we sit with the people who run the work and write the production plan, with the price of the build attached. You approve both before anything starts. Agents go to work in weeks, not quarters, and the model earns its promotion on the strength of your record.
The renter keeps a receipt. You keep a model.
Your agents. Your record. Your model. If we walked away tomorrow, you keep everything.
Not rented. Yours.