Everyone is talking about bringing AI into the enterprise.
The promise is amazing: automate work, make teams more productive, and unlock new possibilities.
But putting AI to work in everyday operations means working with the processes, business rules, and systems already in place. For many companies, that means SAP.
Over the years, SAP has been adapted to the way the company works. Its configurations and customizations reflect business decisions, operational constraints, and exceptions. Those adaptations keep the business running—but they also make the consequences of a change difficult to predict.
The challenge is introducing new capabilities without disrupting the operations that depend on SAP.
Every improvement raises practical questions: what else could be affected? Which business scenarios need testing? Who can confirm that the result works in practice?
The answers sit between IT and the people who own the processes—and are often scattered across documentation, code, and a few experienced individuals.
Until those questions are resolved, a useful improvement remains a risk the company must decide whether to take.
Teams spend time investigating, testing, and resolving uncertainty while the business waits for the capabilities it needs.
For the people responsible for running and evolving SAP, this creates very concrete challenges:
- CIO / CTO: You need to introduce new capabilities and modernize your enterprise systems while remaining accountable for operational continuity. Moving forward means establishing that the benefits justify the effort and that the risks are understood.
- Head of Finance, Procurement & Operations: Your teams adapt their daily work to SAP through manual steps, workarounds, and repeated checks. Improvements take time to deliver, while changing an established process risks disrupting the operations you’re responsible for.
- SAP Solution Architect: Before changing a process, you need to identify the configurations, custom developments, interfaces, and downstream workflows that could be affected, then establish what needs to be validated.
- Project Manager: You need business and IT teams to agree on what should change, coordinate the work and testing, and resolve issues before they become delays or operational problems.
This is the reality we want to change.
At Didro, we're developing a new way to interact with SAP, using our AI-powered technology to uncover its business logic, configurations, and dependencies.
We want to make SAP accessible to more people, empower the experts who work with it every day, and help teams understand the implications of changes before they make them.
The result: less time spent investigating how things work, faster confident changes, and a clearer foundation for modernizing enterprise systems.
That's what we're building at Didro.