Startups
You move fast, and AI helps you move faster. The hard part is knowing what it costs, what it touches, and who checks it before it ships.
A familiar story
Illustrative example. Not a real business.
A software startup has six people. Everyone picked their own AI tools in the first month: a coding assistant, a writing tool, a meeting note-taker, a chatbot on the website. Most are on personal cards and get expensed.
The coding assistant writes a large share of the new code. Reviews are quick, because everyone is busy and the code usually looks fine. The note-taker joins every customer call, and the notes land in a shared folder anyone can open.
Then a release goes out with a bug the AI wrote and nobody caught. A customer sees it first. A week later, a prospective customer sends a security questionnaire asking how the team controls its AI tools, and nobody has a clear answer.
The team isn't careless. They just never had a moment to stop and look at it all in one place.
If you see this in your startup, you're in the right place
- AI tools are paid for on several personal cards.
- Nobody can say how much of last month's code AI wrote.
- Code reviews get approved in a minute or two.
- An AI tool can see production keys or customer data.
- An AI note-taker joins calls, and you're not sure where the notes go.
- A customer or investor asked how you control AI, and you didn't have a clear answer.
Where we start
We start with one free check-in on the work your team hands to AI. You'll see what it costs, what it can reach, who reviews it, and one thing to fix first. When you want to go deeper, we look at your real tools and your real code process with you.
Also see: Small and Mid-Sized Businesses · Use cases