Built so your teamcan change it yourself.
We hand over your application on a foundation AI can work on safely, and train your team to change it by describing what they want. For everything that needs an architect, we stay available.
- Built by IBS
- Handed over
- Changed by your team
Most custom software stalls at handover
The project ends, the vendor moves on, and every change needs a ticket. The software stays open to everyone, and nobody knows what the last AI edit broke.
It depends on whoever built it
Only the vendor knows the code. Small changes wait for a slot and a quote, and when the one person who understands the system leaves, the knowledge leaves with them.
It changes, and nothing catches the mistakes
AI changes code fast. Without a documented structure and tests, it also breaks things fast, and nobody notices until a user does.
It stops changing
The wish list grows, the workarounds come back and the spreadsheet comes back with them.
We build the application so that changing it stays safe, fast and in your hands.
A change starts as a conversation
Your team describes what it wants. The AI drafts the change against a documented structure, tests check it, and a person on your side decides.
Describe it
Someone on your team writes what they want in plain language.
The AI drafts it
It reads your documented architecture and data model, so the change fits the design.
Tests run
Automated tests show at once whether the change breaks anything elsewhere.
You approve
A person on your team reviews the change. Nothing goes live without that.
It goes live
It ships through the deployment we hand over, with the previous version ready to roll back to.
Some changes are yours. Some need an architect.
We draw the line with you, in writing, at handover. It is specific to your application and your team.
Your team
Changes your team makes with AI
- Screens, forms and fields
- Reports and dashboards
- Texts, labels and translations
- Validation rules and notifications
- Small changes to existing workflows
An architect
Changes where you want us involved
- New integrations and connected systems
- Data model changes other systems rely on
- Security, roles and permissions
- Anything that has to scale or run faster
A foundation your team and the AI can both read
The application is built so that the next change fits the design. You receive what you need to keep going.
Your source code
On your infrastructure, in your hands. No platform licence from us and no component we hold back.
Documented architecture and data model
Structure and intent, written down. The AI has something to follow, and a new colleague has something to learn from.
Recorded decisions
Why something was built the way it was, so the next change does not undo it.
Automated tests
They show at once when a change breaks something.
A deployment nobody is afraid of
One repeatable route to production, with a way back.
Training for your team
On your own application, so your team can keep developing it with AI themselves.
You run it. We stay available.
You decide whether to keep working with us.
On your own
Your team changes and extends the application with AI, inside the boundaries agreed at handover.
Ask us when it needs an architect
New integrations, new systems, questions about the design. You call, we are there.
Keep us on
We change the system in days rather than release cycles.
Our own products are built and changed like this
The same people use the same method and tools on each of them, and each one runs in our own systems today.
Baucore
Project and specification CRM for building-product manufacturers, on Salesforce. Built by IBS, now an independent company.
baucore.app
SalesExt
Field-sales execution on Salesforce: visit planning, reports and tasks on the road.
salesext.app
MyDocGen
Document generation from Salesforce: quotes, contracts and datasheets from data you already have.
mydocgen.com
baucore.app
Baucore's product website, built with AI and run by us.
This website
ibs-technology.com is built with AI and changed the same way.
Changing business software with AI
Can non-developers change business software with AI?
Increasingly, yes, if the software was built for it. On a clean, documented architecture with a clear data model and automated tests, a change described in plain language is one the AI can implement safely. Some changes still need an architect, such as new integrations, security and changes to the data model. On a codebase nobody wrote down, the same request only produces a mess faster.
What stops an AI change from breaking something?
Three things. Automated tests run on every change and show at once when something breaks. A person on your team reviews the change and approves it before it goes live. And the deployment keeps the previous version ready, so you can roll back to it if a change causes a problem.
What happens when the person who learned the system leaves?
The knowledge sits in the documentation, the recorded decisions and the tests, not in one person's head. A new colleague, working with AI, can start from what is written down: how the system is designed, why each decision was made and which tests show that it still works.
Do we need developers in-house?
No. You need someone who owns the application and decides what changes. Changes are described in plain language and built with AI, so that person decides rather than programs. We train them and their colleagues, and we stay available for new integrations and anything that needs an architect.
Are we locked in to the company that built it?
Not if it was built to be handed over. You get the source code, it runs on your infrastructure, and the documentation explains the design. There is no platform licence from us and no component we hold back. You can keep working with us or hand it to someone else.
Tell us which change is waiting in your backlog.
In 30 minutes we work out what to build, where it should run and how your team would take it over.