Use cases
Each use case combines a concrete operational need, assets to qualify and an implementation path tailored to the scope.
Internal AI assistants are only useful when they have access to reliable context: consistent data, validated documentation, up-to-date business rules, traceable sources and controlled permissions.
KONTEX and DUPLIK qualify the data and knowledge consumed by assistants to reduce unverifiable responses and increase business users' confidence.
Products involved
Before modernising a critical application, the organisation must understand what it actually does: business rules, dependencies, exceptions, historical decisions, data flows and potential impacts.
KONTEX structures application knowledge to reduce uncertainty before transformation decisions.
Products involved
Customer, supplier, product, equipment or contract master data is often fragmented across multiple systems. This fragmentation weakens processes, analyses, migrations and AI projects.
DUPLIK matches, consolidates, normalises and makes operational data auditable to create usable business truth.
Products involved
In critical systems, part of the knowledge rests with a few key experts. When they leave, change teams or become unavailable, the organisation loses speed, security and autonomy.
KONTEX transforms that dispersed knowledge into a living, validated repository that both teams and AI systems can reuse.
Products involved
A successful migration depends as much on data quality as on understanding the rules and dependencies of the existing system. Areas of uncertainty must be addressed before transfer.
KONTEX helps preserve application knowledge. DUPLIK helps make data reliable before transfer, consolidation or redesign.
Products involved
Start from a concrete scope: an internal assistant, a critical application, business master data or a migration to secure.
