Build business apps with AI, under IT controlFrom business need to a governed internal application
The experts who really know your processes see pain points every day that nobody has time to deal with. With AI, they can build the solution. But it still has to hold up in production.
An AI business application is an internal tool, designed around a specific need on the ground, that can call an AI model within a controlled process. To last, it must be built by selected key users, versioned, tested, approved by the IT department and then published to a production environment, like any other company software.
Key users and business pain pointsKey users see what the IT department doesn’t
In every department, someone knows the details that waste time:
- unnecessary steps and double data entry;
- checks done by hand, line by line;
- intermediate files passed between two software packages;
- blind spots in the business software;
- repetitive tasks people accept because they have always done them.
The IT department cannot handle everything: its priorities rightly go to major projects. The small pain points remain. Added together, however, they represent a considerable amount of time.
Build an app with AIPrototyping has never been easier
With AI coding assistants, a key user can now build in a few hours a tool that would have taken weeks. It is a real opportunity. It is also a new risk: dozens of small applications that are unmaintained, unsecured and that nobody knows exist.
Building fast is not enough. You need to be able to run, maintain and govern.
From AI prototype to productionWhat is missing between prototype and production
What makes the difference between a script that works on one computer and an enterprise application is nothing new:
- versioned code, owned by the company;
- checks and alignment with technical standards;
- a test environment, separate from production;
- approval before release to production;
- per-application access permissions;
- AI usage tracking.
In the age of AI agents, Git, TEST and PROD are still needed. Even more so, because the number of potential applications is exploding.
Git, testing, approval, deploymentThe target pipeline
- Business need
- Key user
- Assisted development
- Git
- Checks
- Orchestrator
- Test
- Approval
- Production
- Internal portal
Example: document anonymisationAn example
A team regularly has to analyse documents containing personal data. A key user designs an application that anonymises the document, checks it, sends it to the model approved by the company and returns the analysis. The application is versioned, tested, approved by the IT department and then published in the internal portal. Colleagues use it; its AI usage is tracked. If the key user changes role, the application stays. Data detection and masking are configurable; for sensitive documents, human review may still be needed.
Industrialising AI applicationsWhat Collapps brings
Hi-perf Collapps provides this pipeline out of the box:
- A framework for selected, trained and authorised key users.
- AI-assisted development.
- Versioning in Git, checks and the deployment orchestrator.
- Test and production environments, with approval.
- An internal portal in the company’s branding, with per-application permissions.
- AI governance: approved models, company accounts, quotas and caps.
A standardised foundation. Tailor-made business uses. See how it works in detail.
AI business applicationsFrequently asked questions
Who can become a key user?
Employees chosen by the company for their knowledge of a process and their interest in the tool. They are trained and authorised; not everyone builds applications.
Does the IT department lose control?
Quite the opposite: it defines the framework, approves releases to production and sees all applications and their usage. It gains visibility over uses that would otherwise escape it.
How is this different from a no-code platform?
Collapps applications are real code, versioned and deployed in controlled environments. Development is made easier by AI, but the lifecycle remains that of enterprise software.
Give the experts in your processes the power to act.
Let’s talk about your first key users and the pain points they could tackle.