AI Tooling

Accelerate the implementation.
Keep the quality.

AI can draft an app. The hard part is fit, the next upgrade, and whether your team can maintain it. We set the tooling up on your landscape, build real work with your developers, and leave the method behind.

Curious about what a custom solution would cost? →

Scoping is free, and the proposal carries the price before you commit.

The problem

AI can write the code. Will your team still own it?

The backlog after go-live is real. Generic AI does not know your landscape.

A working prototype is easier than ever. The harder questions come next. Does it fit the business? Will it survive the next Public Cloud upgrade? Can your team maintain it?

Generic AI produces plausible ABAP that fails review: wrong APIs, wrong naming, a clean-core breach. That is the usual reason a team tries it once and goes back.

The gap is not talent, it is setup. AI-assisted development only earns its keep once the tooling knows your landscape: your objects, your naming, your released APIs and your clean core rules.

That setup is the work. We configure it against your own Public Cloud system, build real backlog items alongside your developers, and leave the method behind so the throughput stays after we have gone.

How we help

What we do about it.

Pace and quality together

Speed is only useful if the output survives review. We increase the rate of sustainable development rather than the rate of code.

The tooling knows clean core rules and released APIs for your system
Review gates and tests that keep pace with the generation
Human architects on every deliverable, supervised not autonomous

Setup for your landscape

AI that understands your architecture, your naming, and your extension patterns produces code that survives review.

Configured for your objects, naming conventions, and architectural patterns
MCP servers connected to your ADT, documentation, and system metadata
Prompt libraries encoding your standards, so the team generates consistent output

See what we build with it →

Your team keeps the method

The point is not that we are faster. The point is that your developers are, after we leave.

The tooling, MCP servers and prompt libraries deployed to your environment
Your developers work alongside ours on real backlog items
Documented patterns and standards, so the method outlives the engagement

See the tooling →

What we do not do

We do not run S/4HANA conversions. We do not do functional redesign. We will not build something you should buy. We are not an AI research lab. We configure working tooling for Public Cloud development.

Credentials