Migration risk goes beyond reading the system
In migration projects, the real risk is not whether a partner can read the system.
It is whether the right people can understand what the business still depends on.
In long-running systems, the biggest risks are rarely just technical.
A workflow may look outdated.
A rule may look inconsistent.
A dependency may look easy to remove.
But in practice, those details often carry business meaning.
Where migration risk actually lives?
That is where the right people make the difference. They ask why the system works this way today.
They validate assumptions with business users.They know the difference between a bug, an exception, and business-critical logic.
And they can support the system beyond the knowledge of a single internal expert.
Where migration risk actually lives?
That is where the right people make the difference. They ask why the system works this way today.
They validate assumptions with business users.They know the difference between a bug, an exception, and business-critical logic.
And they can support the system beyond the knowledge of a single internal expert.
Where AI changes migration — and where people still matter?
One simple way to visualize this is that AI may change the time distribution in migration — most visibly in migration and refactoring, and to a lesser extent in technical discovery — but business understanding and validation still depend heavily on people.
