Particle beams are now circulating in the world’s most powerful particle accelerator LHC at CERN and the experiments are ready to record data from beam. Data from first collisions will be crucial for sub-detector commissioning, making alignment and calibration high priority activities. Executing the alignment and calibration workflow represents a complex and time consuming task, with intricate data dependencies and stringent latency requirements. For this reason CMS Workload Management has defined an architecture and strategy to automate the workflows to minimise the required human effort. In this paper we discuss the WMCore and WMagent components used in the actual CRABSERVER framework showing the prototype tuned over the first use case, the Beam Spot. We also present the longer term strategies for moving alignment and calibration workflows into the standard T0 processing and automating the analysis workflow.