This paper reports the study done on SLA non-compliance detection and prevention in batch job systems. It sets out the task of determining optimal and the smallest set of levers to minimize SLA non-compliance at minimum impact business requirements. The methodology to address the problem consists of a four-step process that includes inputs, pre-processing, modelling & solving and post processing. This paper uses Integer Linear Programming (ILP) to achieve global optima given a set of varied constraints such as sacrosanct constraints, auxiliary constraints, reach time constraints and SLA non-compliant identifier constraints. Methodology has been tested on two sets of data- synthetic data of small size to corroborate the correctness of approach and a real batch job system data of a financial institution to test the rigor of the approach.