For the past decade, digital transformation has been the hot topic in the world of enterprise software. Everything had to be digital, automated and cloud-based. Companies invested massively in new ERP systems, online processes and optimized workflows.
And honestly: it was necessary.
But it does not mean that companies are now "done."
Indeed, digitization is not the end point - it is the starting point.
The next step is much more fundamental: the AI transformation.
Digital transformation vs. AI transformation
Digital transformation ensures that processes exist in a digital system.
AI transformation ensures that processes themselves know what needs to be done - and execute it.
Digital transformation
✔ processes online
✔ software as a replacement for paper
✔ data entry via screens
✔ workflows according to fixed steps
AI transformation
✔ processes are interpreted
✔ data flows are automatically processed
✔ business rules are dynamically applied
✔ systems operate proactively, not reactively
The difference between keeping something digital and having something automated is huge. And that difference will determine which companies become more efficient - and which lag behind - in the coming years.
From data entry to data interpretation
Where employees used to have to enter data, AI now processes:
- incoming orders,
- documents,
- invoices,
- emails,
- and even customer questions.
AI understands what the document means, what action is required, what cost center belongs to the invoice and what inventory movement should be posted. This is a fundamental shift: from inputting to interpreting.
Business processes become business rules
In the world of legacy ERPs (Exact, NAV, AX, AccountView), a lot revolved around parameter knowledge.
You had to know where something was set, how it worked, and what the dependencies were.
In modern platforms like Uniconta , things work differently:
- translate processes into business rules
- business rules are created with low-code tools
- AI can even create and optimize these rules for you
This shifts the focus from "going through the system" to "running the business."
The question no longer becomes: how do I set this up
but: what do you want to happen?
From system knowledge to business knowledge
Many consultants have become big on getting to the bottom of complex systems.
That was necessary because the software WAS complex.
But AI-driven ERP platforms require something different.
Not the parameters are important, but:
- insight into logistics processes
- knowledge of financial flows
- understanding of inventory, production and fulfillment
- and most importantly, being able to translate processes into business rules.
Consultants become process architects, not institution wizards.
That's a huge quality shift - in job satisfaction as well as customer value.
Why this is happening exactly now
In recent years, conditions have become perfect for AI transformation:
- ERP systems have moved to the cloud.
- APIs have come of age.
- Low-code tools are mainstream.
- AI agents can build and execute business logic.
- Companies have become accustomed to automating.
The foundation has been laid.
AI is the new operating system on top of that foundation.
The AI transformation is not hype - it is the logical next step
Whereas digital transformation primarily made companies faster and more digital, AI transformation makes companies smarter, more consistent and predictive.
And this is exactly what we are doing at Promentum: guiding
companies in the step after digitization - the step to an ERP environment that thinks, works and grows with them.
In a nutshell
Digital transformation drives systems.
AI transformation drives businesses.
The organizations that understand this difference will gain speed, agility and profitability in the years to come.