Appilots

If your user can ask for it, your app can do it.

Appilots puts an assistant inside your app that doesn't explain the steps: it takes them. It navigates the screens, fills in the fields and finishes the task for the user. Fewer tickets, more tasks completed, including by the people who struggle most.

No commitment to talk Your data stays with your provider Runs in the app your users already use

Smiling older woman using the app on her phone at home in natural light
Task completed
"Book a follow-up appointment", done by the assistant, confirmed by Joan.
"I want to move my appointment to Friday."
The assistant navigates, fills in the form and asks for confirmation.

The problem

Your app does everything. The problem is how many people can't use it.

Long flows, too many screens, forms that intimidate. The user starts the task and gives up halfway. Older people and people with disabilities get stuck even earlier.

And every unfinished task becomes a ticket, a phone call, an abandoned flow, or a customer who simply never comes back.

01The support queue

Half of all tickets open with "how do I…". Instructions don't solve it; the user still has to do the work alone.

02The abandoned flow

The more steps there are, the more people drop out. Your feature exists, but adoption doesn't happen.

03The people left out

Accessibility isn't a courtesy, it's an obligation. Today your app shuts out exactly the people who most need the task done.

"I give up. I'll ask my daughter to do it when she gets here."
User, 72, trying to reschedule an appointment
Two people side by side looking at the same phone, in a genuine, close and warm moment of help

A good product shouldn't need a tutorial.

We built Appilots because we believe nobody should have to learn how to use your app: the app should help the person do what they came to do.

  • Models the market already trusts.Runs on OpenAI and Anthropic.
  • Your data, with your provider.Everything stays in the customer's own account.
  • Confirmation is mandatory.Before any sensitive action, the assistant stops and asks.

How this gets into your app

Three steps. Nothing to rebuild.

  1. We connect to your app.

    Your dev team integrates it in days, not months, with nothing to rebuild.

  2. The assistant learns your flows.

    Appilots automatically maps your app's screens and actions.

  3. Your users ask, your app does it.

    The person describes what they want in plain language and the assistant carries it out in the real interface, pausing to confirm any sensitive action.

This isn't another chatbot in the corner of the screen.

A chatbot talks about the app

  • Answers in a window and hands the work back to the user.
  • Doesn't know which screen the person is on.
  • Needs manual setup for every action.
"To reschedule, go to Menu > Appointments > Details > Reschedule…" Good luck.

Appilots operates the app

  • Navigates, fills in and completes the task in the same interface your users already use.
  • Knows every screen and action in the app.
  • Stops to confirm before anything sensitive.
"Appointment moved to Friday, 2pm. Confirm?" Done.

Our product

Your app used to answer. Now it acts.

Three real situations where asking wasn't enough, and where Appilots is the difference between the user giving up and the task getting done.

Accessibility

The people who struggle most can solve it on their own too.

The problem

Finding the digital insurance card among menus and tabs confuses anyone who isn't comfortable with apps: they call support or give up.

The impact

Every trip to support costs the team time and frustrates someone who only wanted to sort out something simple.

The solution

The user says "I need my insurance card" and the agent opens the right screen, shows the card and has the service token ready, with no need to understand the menu.

Complexity

Flows with many steps stop being the user's problem.

The problem

Renewing an insurance policy means opening the right vehicle, choosing the coverage and reviewing the amounts, across different screens, one at a time.

The impact

The more steps between the request and the finish line, the higher the drop-off rate along the way.

The solution

The agent navigates to the right vehicle, fills in the renewal with the current insurer and only asks for a final confirmation before submitting.

Cart abandonment

From wanting to order to a confirmed order, without friction.

The problem

Picking the items, applying the coupon, reviewing the total: every extra step is one more chance for the user to walk away.

The impact

An abandoned cart is lost revenue, and hardly anyone ever finds out why.

The solution

The user asks in one sentence; the agent builds the cart, applies the coupon and shows the summary ready to confirm.

Lifts conversion

Fewer steps between the intent and the finished action.

Improves the experience

People feel the app solves things, not just explains them.

Reduces churn

Fewer reasons for a user to give up or switch apps.

Lightens support

Fewer repetitive "how do I..." tickets.

"If half your tickets start with 'how do I…', Appilots was built for exactly that."

Built for the people who carry these goals.

Head of Product in a meeting, pointing at metrics on a board
Product · the people leading

"My goal is adoption and flow completion, without rebuilding the app."

The metrics you already chase (activation, completion, drop-off, NPS) moved by the same lever.

Support agent wearing a headset, smiling, with the screen behind them
Support

"Fewer repetitive 'how do I' tickets."

Person with a visual impairment using their phone with headphones and smart glasses, in warm light
Accessibility

"My app, finally usable by the people who struggle most."

Questions from the people who decide.

The objections we hear from product leaders, answered straight.

Is it safe to let an AI act inside my app?

Yes. You mark the sensitive actions and the agent pauses for an explicit confirmation before anything destructive.

Where does my users' data go?

Through your own keys and provider. Appilots orchestrates the agent; the calls run in the account you connect, so data and cost stay under your control.

How much work is it to integrate Appilots?

A few days, with nothing to rebuild. The dev team integrates the SDK and the assistant learns the flows automatically.

Does it work for people with low digital literacy?

That's exactly the point: the person asks in plain language and the app does it for them.

How much does Appilots cost?

Pricing is customized for each company and scenario: usage volume, seats, workspaces and the AI-key mode all shape the number. There's no fixed public plan, so contact our team and we'll put together a quote for your case.

Which AI models can I use with Appilots?

Yours. OpenAI and Anthropic are supported today; Google Gemini, Mistral and Azure OpenAI are on the way. Any OpenAI-compatible endpoint works too: you set the URL and the key in the dashboard.

What's the difference between Appilots and a support chatbot?

A chatbot talks about the app: it answers in a window, doesn't know which screen the person is on and hands the work back to the user. Appilots operates the app: it navigates, fills in and completes the task in the same interface your users already use, and stops to confirm before anything sensitive.

For developers

Integration in 3 lines of code.

The SDK goes into the app and the screen map is generated automatically at build time.

Want to see how easy the integration is, or hand it to your dev team so they can look at the process? Download our getting-started document.

Download the integration guide PDF · ready to share

Appilots integration guide

The first steps to installing the SDK.

Quick guide, straight to the point.

Contact

Pricing built around your company.

We build the proposal around what your company needs and can invest, so the result pays off from day one.

No commitment to talk Your data stays with your provider

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