Embed a context-aware agent that answers, acts, and improves itself, right inside your SaaS. Product sees activation and retention climb. Engineering ships it in an afternoon. Revenue turns usage into expansion.
The executive pain
Most SaaS companies have a “Support Trap”: high-paid AEs and product teams waste hours on basic support escalations, because the in-app “AI button” is too generic.
The problem
Current AI assistants are FAQ-readers. They rattle off a list of instructions, effectively giving the user “more homework” instead of solving the problem. This leads to user frustration, high churn, and your sales team acting like support agents.
The Urai solution
We embed an action-oriented AI agent directly into your UI. Instead of telling the user how to update a record or generate a report, it just does the work for them.
CRO
Reclaim your AEs’ time so they focus on closing, not support.
CPO
Stop “user leakage” to external tools; keep the workflow inside your app.
CEO
10x cost savings on support infra, with 3x faster resolution.
It’s the move from “Help Docs” to “Jobs Done” — deployed in a week.
An in-app agent isn't a support widget bolted on the side. It's a lever on the metrics your product, engineering, and revenue leaders are measured on.
For the CPO
Users get to value in the moment instead of hunting through your UI. The agent surfaces the features they'd never find, so adoption deepens and churn drops.
For the CTO
One script tag or the React / Vue / Svelte SDK. It runs on your runtime, your credentials, and your data, extends in TypeScript, and leaves no fragile agent infra to babysit.
For the CRO
The agent meets users at the moment of intent, guiding them to paid features, converting trials, and catching churn signals before renewal. Expansion, inside the product.
The same platform that runs our AI workspace, here embedded straight into your product.
A natural conversation your users actually want to use.
GPT, Claude, Gemini, and more behind one interface. Bring your own keys. No lock-in.
Tool calling plus code generation, so it writes and runs scripts to do the work.
Grounded, cited answers over your product docs and data.
Reusable capabilities that compound, and write themselves from real conversations.
Same engine, embedded right on your pages. It already knows your users, it looks like part of your product, and every conversation stays with you.
Pass the logged-in user, the account, and the page. The agent knows who it's talking to and what they're looking at, with no cold starts and no "which account are you?"
Theme every colour, font, and corner. It looks like a native part of your product, not a third-party widget stapled on.
The engagement, the data, and the relationship stay yours, not a chat platform's. That's the retention and expansion story your board cares about.
Embed in one tag
Prefer components? Install the typed React, Vue, or Svelte SDK for the same widget, native to your framework. Your engineers ship it in an afternoon.
Give it knowledge, skills, tools, and credentials in Urai. Configure the persona and escalation rules, or describe it in plain language and let the coding agent draft it.
Theme the widget, set its behaviour, and lock it to your allowed origins. It ships looking like a native part of your product.
Drop one script tag, or the React / Vue / Svelte SDK. Pass the logged-in user, and the agent loads on every page. Embed & SDK →
"What we appreciate most about Urai is the team's availability, openness, and transparency. Their approach to building AI services is particularly thoughtful and innovative."