01
Challenge
The build slows down when sources, formats, permissions and hosting rules arrive after framing.
- •Undocumented access
- •Scattered files and databases
- •Unclear business permissions
Data & IT Readiness
Check data, access and architecture before code.
A business AI system depends on reliable sources, clear rights and an architecture teams can operate. Lucid-Lab prepares that base before development.
02
Method
We inventory sources, check flows, document rights and define the target architecture.
- •IT inventory
- •Rights and access matrix
- •GDPR and hosting constraints
03
Result
Teams know what can be connected, what needs cleanup and what should stay outside scope.
- •Target architecture
- •Data preparation plan
- •Ranked technical risks
Deliverables you can keep.
Source inventory
Access matrix
Target architecture diagram
GDPR checklist
Security plan
Start with one useful system.
The first call clarifies the workflow, constraints and next decision.