MODEL CASE
Stepping in from the front line as an FDE on a modernization project where AI expectations had run ahead
This is a scenario in which there is appetite for adopting AI, but requirements, access rights, audit needs, existing integrations, and the migration approach are all still unorganized — and even who should be asked to do what remains unclear.
The more the AI era advances, the more issues there are to sort out at the very start.
1
Where the conversation begins
Requests from individual departments run ahead, with core-system modernization and AI adoption advancing in parallel. Neither the decision-makers nor the key issues are aligned, so an RFP cannot be drawn up.
2
What an FDE sorts out on the front line
We consolidate the current-state analysis, access constraints, audit requirements, data integration, migration pain points, where AI can be applied, technical feasibility, and a rough effort estimate into a single decision-making document.
3
The resulting state
It becomes clear what to decide first, what to ask of which vendor, and which architecture is realistic — so requirements definition and the request for proposals can begin without hesitation.
4
The next action
Starting from the FDE report, you connect into requirements definition, design, and implementation. Where needed, SYSTEMI continues right alongside you through the development phase.
If your situation is similar, we'll explain whether we can step in as an FDE.
It's fine even at the stage before a project has formally taken shape. Just start by telling us where things stand.
Talk to us about FDE