Data before speed quality
Artificial intelligence does not automatically correct incomplete or inconsistent ERP data. Reducing repetition in client, product, cost center and document definitions; Standardizing date, currency, and status fields is a key step to reliability of reports.
Start with the checklist
It should be determined in advance which business question the report will answer, which tables it will be fed from, which users will access it and who will approve the output. Outputs that detect deviations should also be easily verifiable with the source record and period filter.
Keep human approval in the process
AI-powered summaries can speed up the decision process; However, critical decisions regarding financial, stock or customer data should be made under the control of authorized teams. Taking automatic actions without establishing an authorization, logging and versioning system creates unnecessary risks.
Bu içerik genel bilgilendirme amaçlıdır. Mevzuat ve teknik sürüm bilgileri uygulama öncesinde resmi, güncel kaynaklardan doğrulanmalıdır.