When HR submits a termination, Termination Guard snapshots employee records across connected systems and generates an AI-powered risk score — before anything is finalized.
An HR business partner fills out a termination form as they normally would. On submit, Termination Guard intercepts the request before it processes.
Employee records are pulled from HR, payroll, leave, and investigation systems. An AI risk engine cross-references the data and generates a litigation risk score.
Low-risk terminations auto-approve. High-risk cases land in a legal review queue with the full snapshot and a detailed risk narrative explaining exactly what's wrong.
Consider a routine involuntary termination that looks straightforward on the surface — but triggers multiple red flags when the AI cross-references data from HR, leave management, and compliance systems.
The risk factors include timeline anomalies between performance actions and protected activity, overlapping leave claims across vendors, and open investigations involving the terminating manager — the kind of pattern that's invisible when each system is checked in isolation.
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