Transformation route
Embed data and AI in specific management actions
Start with the decision and process, define sources, ownership, data quality and integrations, then select the appropriate algorithm or agent.
01 / Goals02 / Data03 / Model04 / Execution
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The AI use case is embedded in a process with an owner, data, criteria and control.
Recognisable gaps
01
AI pilots do not reach the enterprise process.
02
Data quality and ownership are undefined.
03
The algorithm is selected before the decision is framed.
04
There is no agreed criterion for production acceptance.
A route from assessment
to verification
Management challenge
Process and data
Quality and integrations
Use case and pilot
Criteria and production embedding
Relevant AI Kantorovich modules
Change must have a source, an owner and a method of verification.
Specific metrics, timing, configuration and architecture are set after assessment and agreement on the baseline.
Questions before starting
Should a product be selected immediately?+
No. First define the management situation, target model and system boundaries.
Can timing be stated upfront?+
Sequence and timing depend on the current landscape, data quality and integration scope.
How is the result verified?+
The criterion, data source and verification rule are agreed before implementation.
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The exact route, products and integrations are defined after assessment.
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