Over the past few months, one observation has consistently emerged in discussions with our clients.
At first, artificial intelligence is seen as an interesting topic. Teams experiment, run a few proofs of concept, and explore possibilities. Then gradually, a realization takes hold:
it becomes difficult to continue working the same way as before.
This shift is already underway. By 2026, it will no longer be possible to ignore it.
When habits begin to change
In many organizations, there is a turning point.
A team that used to spend two days preparing reports can now complete the same work in minutes using AI-assisted tools.
Recruitment processes, once lengthy and manual, are accelerated through intelligent screening and matching.
These changes may seem incremental, but they are fundamentally transformative.
Once the first gains are realized, a natural question arises:
why not extend this approach across other processes?
A transformation across all functions
This evolution is not limited to a single department. It impacts the entire organization.
Finance teams improve forecasting and analysis.
HR departments streamline recruitment and talent management.
IT teams automate time-consuming tasks.
In SAP environments, testing, support, and documentation are rapidly evolving.
Artificial intelligence does not replace people. It reshapes how they work.
A shift that is now accessible
Until recently, implementing AI required significant investment, long timelines, and specialized expertise.
Today, the landscape has changed.
Solutions are more accessible, often embedded directly into business tools. Deployment is faster, and results can be seen within weeks.
The main challenge is no longer technical.
It is organizational and strategic.
What we observe in the field
The companies making the most progress are not necessarily the largest.
They are the ones that take a pragmatic approach:
- identifying concrete use cases
- testing quickly
- involving their teams
- embracing a learning curve
Those that delay action are already beginning to experience a gap in productivity, responsiveness, and service quality.
2026: a tipping point
2026 will not be the year companies discover AI.
It will mark the moment when differences become clear:
- between organizations that have structured their approach
- and those that have postponed transformation
This gap will not only be technological, but also cultural and organizational.
Conclusion
Artificial intelligence is gradually becoming embedded in how companies operate. This transformation is ongoing and already well underway.
The real question is no longer whether to engage with AI, but how to integrate it effectively.
At Experts Refuge, we support organizations through this transition by combining business, IT, and SAP expertise, with a practical and results-driven approach.
The challenge is no longer to anticipate change.
It is to structure a transformation that has already begun.