A next-best-offer platform allocates eligible offers across customers and channels for multiple entities in five countries. The initial two-month live test increased revenue by 65% and conversion by 60%.
Fifteen-minute and hourly forecasts for day-ahead energy trading outperformed the previous methods in tests that reproduced real data delays, with under 2.5% average percentage error.
More than a dozen LangGraph agents and 20+ backend APIs coordinate risk identification, control-gap analysis, quantitative simulation and preventive treatment planning.
A central LLM gateway, agent runtime and security baseline support document extraction and automated categorization of customer communications within existing banking systems and controls.