> ## Documentation Index
> Fetch the complete documentation index at: https://developers.autoplay.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Use cases

> Common Autoplay integration patterns across support, retention, and product-led growth.

Autoplay fits anywhere you want an AI agent to understand **what users are doing in your product** and act before they ask for help.

## Outcome-focused use cases

Pick the outcome you're optimizing for:

* [Reduce human support](/who-we-are/feature-adoptions/reduce-ticket-support) — scope conversations with full context so more issues resolve in AI
* [Improve retention](/who-we-are/feature-adoptions/improve-retention) — guide users toward their aha moment before they churn
* [Improve CSAT](/who-we-are/feature-adoptions/improve-csat) — deliver relevant support informed by what users have actually done
* [Drive natural upsells](/who-we-are/feature-adoptions/upsell-features) — surface upgrades inside chat, contextual and friction-free