Before using AI for business analysis, companies should establish consistent definitions for key metrics and confirm data sources, access permissions, and update frequency. They can then select suitable scenarios for AI-assisted analysis.
For example, “project profit” may refer to budgeted profit, profit based on posted transactions, or forecast profit at completion. Without a clear definition, even a detailed AI-generated answer may be unsuitable for business decisions. Similarly, cash balances, available funds, and projected funding gaps require clearly defined calculation boundaries.
Companies should start with well-defined tasks, such as explaining budget-to-actual variances, while retaining source references and human review. Melin Tech can help companies assess requirements involving NetSuite business data, reporting definitions, and workflows. The availability and scope of specific AI capabilities should be confirmed against the actual product, version, and licensing.