Allocation of Resources to Process Execution in View of Anomalies

Mechanisms are provided for forecasting information technology (IT) and environmental impacts on key performance indicators (KPIs). Machine learning (ML) computer model(s) are trained on historical data representing events and KPIs of organizational processes (OPs). The ML computer model(s) forecast KPI impact given events. Correlation graph data structure(s) are generated that map at least one of events to IT computing resources, or KPI impacts to OPs. A unified model is trained to model OPs and IT resources. The trained ML computer model(s) and unified model process input data to generate a forecast output that specifies at least one of a forecasted IT event or a KPI impact. The forecasted output is correlated with at least one of IT computing resource(s) or OP(s), at least by applying the correlation graph data structure(s) to the forecast output to generate a correlation output. A remedial action recommendation that comprises a resource allocation is generated based on the forecast output and correlation output.