# AI-First Growth

AI-First Growth is a growth motion in which an in-product AI agent does the setup and work that self-serve products used to leave to the user, so that more new users can reach a real outcome in their first session and self-serve can work for complex products.

## How is AI-First Growth different from product-led growth?

AI-First Growth keeps what product-led growth got right, open self-serve access, and changes the part where it stalls: getting new users to a real outcome.

Product-led growth removed the sales gate: anyone can sign up and try the product. But it handed the complexity to the user. Setup, empty states, data imports, integrations and permissions all became the new user's job. For a simple product that's fine. For complex B2B software, many people leave before they see what the product can do.

AI-First Growth changes who does the setup. The user says what they want, and an in-product agent carries out the steps with them.

| | Product-led growth | AI-First Growth |
|---|---|---|
| Who does the setup | The user | An agent, with the user |
| How users learn the product | Tours, checklists, docs | They ask, and it gets done |
| What the team learns | Where users dropped off | What users wanted, in their own words |
| Where self-serve works | Simple products | Complex products too |

Access stays the same: anyone can still sign up and try the product without talking to sales. What changes is what happens in the first session, and who does the work in it.

## How does AI-First Growth work?

Take a new admin who signs up for a B2B analytics product. In a classic self-serve flow, she connects a data source, maps fields, picks a template and builds a first dashboard, usually across several sessions, if she finishes at all.

In an AI-First Growth flow, she types "connect our Postgres warehouse and show weekly active accounts by plan." The agent walks through the connection with her, maps the fields, builds the dashboard and asks her to confirm. She reaches the outcome she signed up for in the first session.

The motion is measured with the metrics growth teams already use, compared against their own cohorts:

- Time to value for new sign-ups
- Share of users who reach a first real outcome in session one
- Free-to-paid conversion
- Requests users made that the product couldn't handle yet, which point to the next things to build

## What does a team need to run AI-First Growth?

The motion needs an agent that can act inside the product, not only answer questions about it, and a way to read what users asked for.

Foldspace is the agentic interface layer for AI-Native software. Its Product Agent [answers, acts and navigates](https://docs.foldspace.ai/start/introduction/) with each user in the product, never past that user's own permissions, so teams running the motion can accelerate time to value.

## Learn more

- [AI-First Growth explained](/blog/the-rise-of-agent-led-growth)