AI for Executive Management and Business Steering
Processes, use cases and architecture
An assistant consolidates validated KPIs, reconciles budget variances and prepares source-linked commentary. Executives verify proposed explanations and make decisions. BI with a semantic layer and read-only access is preferable to an agent allowed to modify data freely.
Required data and applications
ERP, BI, budgets, metric definitions, reporting periods and consolidation rules.
Human accountability and limitations
Committee preparation time, report corrections, assumption traceability and decision lead time. Correlation does not demonstrate causality; incomplete data must be flagged.
Measuring benefits
The pilot compares a baseline with the target process on representative cases. Business owners define quality thresholds and the right to revert to manual processing before launch.
Bringing the right expertise together
FAQ
How should an AI programme be measured?
Compare outcomes with a baseline: quality, end-to-end time, total cost, adoption and incidents. Measure review effort and errors, not just the number of generated answers.