A constraint-aware auto-scheduling engine that detects conflicts before they reach the timetable, with an AI auto-resolver for one-click fixes and a guided resolution wizard for anything that needs a human call.
The engine checks room capacity, faculty availability and time overlaps at the same time
Linked sections for lectures, labs and tutorials, with group assignment
Faculty preference collection with satisfaction scoring and override governance
Scheduling governance phases with readiness gates that block advancement until prerequisites are met
Simulation mode: run what-if scenarios before committing changes to the live timetable
Control tower view: phases, pending requests, SLA timers and the conflict queue in one dashboard
Choose between heuristic, intelligent and genetic scheduling engines
AI Auto-ResolverResolution WizardAuto-Optimization
Screenshot from the CampusWorkflow demo environment. Names and numbers are sample data.Screenshot from the CampusWorkflow demo environment. Names and numbers are sample data.
Who uses it
Registrar & Scheduling OfficeDeans & Department ChairsFaculty (preferences)
Book a live demo and we will walk through this module the way your office would use it. Modules are switched on per institution, so you can start with one.