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Term explained

What is an AI Cockpit?

An AI Cockpit is the precursor of an application: data, login and functions are already up and running, locally at first for a fast start and then securely in the cloud. The AI analyses and suggests actions, and a human decides. What proves itself later runs automatically: steer first, then automate.

Evoya AI works this way itself, for example across its entire marketing.

How it works

The AI prepares. You decide.

In an AI Cockpit, AI and human work in a fixed order. No AI acts unsupervised.

AI

Check the data

The AI pulls current data through interfaces, for example from Google, YouTube or your ERP.

AI

Suggest an action

It derives concrete steps and backs them up with the numbers.

Human

Decide

You approve, reject or adjust. The decision stays with you.

AI

Execute

The AI carries out what you approved and documents every step.

Why a cockpit first

Use first, then specify.

Anyone planning an application usually starts by writing down what it should do, for a day-to-day reality they can only imagine. An AI Cockpit turns this around: you work with it after a few days, with real data, and find out along the way what the solution really needs to do.

The result is software that fits your processes exactly, instead of a standard product of which you use only a fraction.

Evoya AI works this way itself: every morning the AI in our marketing cockpit checks Google Ads, YouTube and social media and suggests concrete actions. We approve or reject, the AI executes.

Ready to use right awayNo waiting for the finished product. You work with it after a few days.
Full controlEvery action crosses your desk until a workflow is proven.
Low running costsNo servers that have to run around the clock.
Replaces the requirements specAfter a few weeks of use you know exactly what a real application needs to do.
Comparison

AI Cockpit or classic application?

Both have their place. An AI Cockpit fits while you are still getting to know a process or when it needs judgement. An application fits stable processes with many users.

AI Cockpit

Runs
Interface locally, data and functions in the cloud (e.g. Supabase)
Works
When a human is there, plus scheduled tasks in the background
Decides
The human: approve, reject, let it run
Usable after
Days
Changes
Daily, in conversation with the AI
Ideal for
Processes you are still getting to know or that need judgement

Classic application

Runs
Fully in the cloud, around the clock
Works
On its own
Decides
The programmed rules
Usable after
Months
Changes
Through release cycles
Ideal for
Stable processes, many users
The path

From cockpit to autopilot

An AI Cockpit grows with you. What you always approve the same way is proven and may run automatically, as a full application in the cloud. By then the cockpit has shown what the application needs to do.

CockpitThe AI suggests, you decide every action.
ProvenYou confirm many actions the same way every time. The workflows are stable.
AutopilotThese workflows run automatically. You keep the overview.

Frequently asked questions about the AI Cockpit

An AI Cockpit is the precursor of an application: data, login and functions run locally at first and then in the cloud, the AI suggests actions and a human decides. Stable workflows can later be fully automated.
An AI agent carries out tasks on its own. In an AI Cockpit the AI suggests and a human approves every action. A cockpit can use AI agents, but the decision stays with the human until a workflow is proven.
In days instead of months. With the AI Crew you work with a first version after a few days.
No. The interface runs locally, data and functions live in the cloud, for example with Supabase. Scheduled tasks run in the background. Servers that run around the clock are only needed for the autopilot.
As soon as workflows are stable and many actions are always approved the same way. Then we automate them as a full application in the cloud. By then the cockpit has shown what the application needs to do.
Yes. Instead of specifying a day-to-day reality you can only imagine, you work with the cockpit for a few weeks. Afterwards you know exactly what a complete application needs to do.

Which workflow do you want to steer first?

In the introduction call we find the process that suits a first AI Cockpit and clarify how quickly it can run.