Solutions
What teams build with Merlean
Merlean is one execution layer with several ways in. These are the shapes it most often takes inside a product, and what each one changes for the people using your software.
Every one of these runs on the same foundation: Merlean reads your application's own code to build a machine-readable model of its APIs, routes, forms, permissions and workflows, then executes outcomes against that model. What changes between them is the surface your users touch and the problem you are solving.
The right starting point is usually the surface your users already live in. Products with an engaged in-app audience tend to begin with the embedded assistant, because it produces real usage data within days and that data tells you which workflows matter. Teams whose users have already moved into an AI assistant often start with the MCP server instead.
Support load and onboarding cost are not separate solutions so much as the two things that move first. Both are downstream of the same change: when a user can describe an outcome, the questions that were really about navigation stop being asked.
Add an AI assistant to your web app that actually does the work
Embed an AI assistant in your SaaS product that completes tasks instead of explaining them. One script tag, no per-feature integration code, works on any web stack.
A natural language interface for software you already run
Give existing software a natural language interface without rebuilding it. Users describe outcomes; Merlean maps intent to its real APIs and workflows.
Turn your web app into an MCP server
Expose your app to AI agents over the Model Context Protocol. Merlean derives the tools from your codebase, so agents act with your users' own permissions.
Cut support tickets by doing the task, not explaining it
Most support tickets are not bugs, they are "how do I". Merlean completes the task inside your product instead of documenting it, removing the reason to open a ticket.
Onboard users without teaching them your interface
New users are productive on day one when they describe outcomes instead of learning navigation. Cut training time and time to first value.
See it against your own application
Merlean reads your repository and shows you what it understood before anything is exposed to a user.