AI support that resolves, not deflects

Don't tell users what to tap.Control the app and move them forward.

MobileAI gives AI direct UI control in React Native apps so support can navigate, type, fill, and resolve inside the product itself. No custom action-connector project required to get started.

React Native is supported today. Flutter support is in progress.

UI control
Navigate screens, fill forms, and complete flows in-app.
Zero connector setup
Use the app UI as the integration layer instead of building backend action catalogs first.
Copilot by default
The AI pauses once before irreversible actions, so users stay in control while support still moves fast.
UI control in action
Copilot flow
User

“Cancel my trial before it renews.”

MobileAI

“I'm opening billing settings now. I'll take you to your current plan, prepare the cancellation, and pause before the final confirmation.”

Open Settings → Billingdone
Select current plan and prepare cancellationdone
Pause before final confirmationawaiting user
Copilot safety
Silent UI control until the final irreversible action, then one explicit pause for confirmation.
Human escalation
Create a live support ticket when the workflow needs a person in the dashboard.

Business impact

This is not another support widget.

Most support products answer questions. MobileAI is built to remove friction inside the product itself, which changes both your support economics and your product conversion story.

Lower support cost per resolution

Most support tools stop at chat. MobileAI keeps going into the app itself, so routine requests do not become manual tickets.

Recover frustrated users before they churn

When someone types “how do I...” or gets stuck in a flow, the agent can move them to the right screen instead of leaving them to abandon.

Turn support into product insight

Every escalation, rage-click pattern, and broken flow becomes visible in the same operator workspace that handles the conversation.

The platform

The moat is the middle of the support ladder.

Intercom and Zendesk can answer questions and escalate to humans. The hard part is the middle: navigating the app, filling forms, and actually finishing the task. That is where MobileAI is different.

The 5-level support ladder

One system, from FAQ answer to operator takeover

1
Level 1

Knowledge answers

Answer policy and FAQ questions instantly without touching the UI.

2
Level 2

Show and guide

Navigate to the exact screen and point to the right control while the user finishes the last step.

3
Level 3

Do and confirm

Fill forms and move through the flow, then pause once before the irreversible action.

4
Level 4

Full resolution

Complete the whole task inside the app when autonomy is appropriate.

5
Level 5

Human escalation

Hand the exact conversation to a live operator through the dashboard when the issue needs a person.

Why it wins

Better than a chat widget. Faster than an integration project.

Most alternatives require backend action catalogs before the AI can do anything useful. MobileAI uses the UI that already exists, which changes setup time and expands what support can actually resolve.

Minutes to first integration with a wrapper component
Knowledge answers, guided navigation, copilot, autonomy, and human escalation in one system
Developer tooling for testing, telemetry, and product debugging
Designed around React Native instead of a web chat widget bolted onto mobile
Capability
MobileAI
Status quo
Answer questions
Yes
Yes
Navigate the user to the right screen
Yes
Usually no
Fill forms for the user
Yes
No
Execute in-app flows without backend connectors
Yes
No
Escalate to human in the same support flow
Yes
Sometimes

For developers

Built for the product team, not just the support team.

The same system that answers and resolves support requests also gives engineering, QA, and product teams better visibility into broken flows and customer friction.

Drop-in React Native SDK

Wrap your React Native app with a component and start from the UI you already shipped. Flutter support is on the way.

Screen mapping

Generate a map of your screens so the agent can plan across your app instead of guessing from only what is mounted right now.

Voice support

Let users speak naturally while the agent responds with voice and action inside the interface.

MCP-based testing

Turn the running app into something AI tools can inspect and exercise in plain English for smoke tests and exploratory QA.

Quick start

Start with the SDK, then grow into the full platform.

Use the React Native package for in-app support, then layer on analytics, inbox workflows, and operator tooling from the cloud dashboard.

Install
npm install @mobileai/react-native

Commercial model

Start with the SDK. Expand into the operator cloud.

MobileAI works as both a developer integration and a hosted support workflow. That gives you a path from early experimentation to production support operations.

See billing and plans
Build

Add the SDK to your app

Start with navigation, knowledge answers, form assistance, and optional voice support.

Operate

Run support through the dashboard

Add ticketing, escalation, analytics, operator workflows, and product context in one place.

Scale

Scope custom rollout support

For larger teams, discuss onboarding help, migration support, higher usage, and tailored rollout planning.

Final takeaway

If your app already knows how to do the work, support should be able to do the work too.

That is the core idea behind MobileAI: do not stop at a helpful answer. Use the existing app UI to actually move the user forward.