Use predictive AI with human validation, not a generative model. Each source field has a finite set of valid targets, so the AI’s job is to pick the correct target and let a payroll specialist confirm the pick. datascalehr’s KMod™ works this way.
A large language model pointed at a payroll file can invent plausible but wrong mappings and lacks country-specific statutory knowledge. KMod™ uses pattern matching, statistical analysis, string and vector similarity, and an LLM only for new terms in metadata. Proprietary machine learning handles 92% of inferences.
For reconciliation, KMod™ compares payroll results across providers and countries with jurisdiction-aware rules and flags discrepancies for review. Europe’s #1 payroll provider cut reconciliation time from 4 hours to 15 minutes. A correction by any specialist is available to all users immediately, with no retraining cycle.
