The challenge
Business analysts and BI teams constantly need small applications — a dashboard for Monday's meeting, a quick analysis tool, a temporary app to collect feedback. Each is too small to justify a full development cycle, yet too complex for a non-developer to build and deploy safely.
The usual result: endless requests to development teams, spreadsheets, one-off scripts, shadow IT, non-standard applications, and a long tail of tools nobody can maintain.
Our approach
We created a standardized application-building environment based on A-Concept. Developers establish and maintain a controlled library of reusable components. Business users then describe the application they need in natural language, with their prepared data, and AI generates it using the approved technology stack and components. Developers stay involved where their expertise matters — create components, validate, extend the platform — rather than hand-building every small application.
Why the usual approaches fall short
Generic low-code and free-form AI let every app invent its own architecture, data access and deployment story — which is exactly how shadow IT is born.
| What the business needs | Generic low-code / free-form AI | Governed component library + AI |
|---|---|---|
| Fast application delivery | Fast, but ungoverned and inconsistent. | Fast, on an approved and consistent stack. |
| Security & maintainability | Afterthoughts, bolted on later. | Built in through approved components. |
| Keep developers leveraged | Developers still hand-build or firefight. | Developers curate components, not one-off apps. |
Technology fit
A-Concept supplies the governed library of reusable components; AIS turns a natural-language request plus data into an application on the approved stack; the Architecture Intelligence Platform keeps generated apps consistent with corporate architecture and policy.
How it is implemented
A business request resolves to approved components, wired to the user's data, and constrained by corporate policy at generation time.
component('KpiDashboard') { // assembled from the approved library feature('Load Data') { ref:datasetSource } feature('Chart') { ref:barChart } constraint(ref:corpDataPolicy) // governed, deployed under company policy }
Business outcome
Business teams go from question to working application without waiting for a traditional development cycle: faster analytics delivery, reduced developer workload, standardized applications, less shadow IT, and greater business autonomy without losing governance.
The goal isn't to turn every analyst into a developer. It's to remove development from the critical path for simple applications.