Changes verified before they go live
A new field, screen, or workflow is first validated by the platform, then saved as the next version. Reverting a change is one step, not another project with a schedule.
Platform
On our platform, the application is a description of data, screens, and rules that the system understands in full. This means changes can be reviewed before going live, versioned, and reverted. Including the ones made by AI.
Add a "safety review date" field to the employee record, with a reminder.
modelentities · screens · rules — read livelayersplatform · customisations — separateApplication model
In classic IT, every change is a small project: a developer, tests, a deployment. The problem is not the people but the material they work with: an application made of code, where it is easy to break something without noticing. Here, the application is a model the platform understands in full. That gives three practical differences.
A new field, screen, or workflow is first validated by the platform, then saved as the next version. Reverting a change is one step, not another project with a schedule.
Your customisations and the platform live in separate layers. The platform can be updated without touching what was built specifically for you. Salesforce rests on the same mechanism.
The agent does not dig through code. It reads the model and rules the platform understands in full, so every change it makes can be reviewed before it reaches users.
A change to a system should be a decision, not a project.
Data ownership
Every business application is screens and data. Data is worth asking about before the purchase, not when parting ways with the vendor. Our answer is simple: the data lives in your own PostgreSQL database, on your servers or in a cloud chosen by your security team. No licences and no fees for capacity.
Salesforce · Power Apps
DEX · PostgreSQL
System development
In classic technologies, an application is first programmed, then compiled and deployed. Every change, however small, travels that whole road. That is where the schedules, maintenance windows, and sign-off meetings around every fix come from.
Here, the application is not compiled. The platform reads the model live, so a change in the model is visible in the running system immediately, and reverting it takes one step. For the same reason, AI can make changes safely: it works on a description of the application that can be reviewed, not on code that has to be read line by line.
Security and control
Because the platform understands the whole application, it can guard things that loose code cannot: consistent permissions, a full history of changes, and continuity of operation whatever happens to the vendor.
Who sees which record is decided by a rule, not by accident. Permissions work consistently across every screen and every API, down to the level of a single row of data.
Who changed what and when, in the model and in the data. Every change is versioned and traceable. No guessing and no digging through correspondence.
The platform code goes into escrow. Even if our company disappeared from the market, you are left with a working system, access to the code, and full control.
Access to your own data should not have a price list.
20 minutes. We will show the platform live and answer your IT team's questions. No obligations.