How InferTrust™ provides verifiable records for AI-assisted predictive maintenance decisions, supporting equipment safety, warranty claims, and regulatory compl
AI-assisted predictive maintenance systems determine when equipment needs service, when components should be replaced, and when operations should be halted for safety. When these systems get it wrong, the consequences range from unplanned downtime to equipment damage, product quality failures, and worker safety incidents. The organization that relied on the AI's recommendation carries the liability.
InferTrust™ Industrial captures each AI-assisted maintenance decision with full context: the predictive model version, the sensor data characteristics that informed the prediction, the maintenance policy and thresholds in effect, and the resulting action (continue operation, schedule maintenance, immediate intervention). These records are cryptographically bound, providing proof of what the AI recommended and the parameters that governed the recommendation.
When equipment fails and the manufacturer or insurer investigates whether maintenance was performed according to recommended intervals, the operator needs evidence of what the AI maintenance system recommended and when. InferTrust™'s records demonstrate that the operator acted on AI recommendations consistently and that the predictive model was operating within its configured parameters.
When equipment-related safety incidents trigger OSHA investigation, the organization must demonstrate that it maintained equipment properly and followed established safety procedures. If an AI system influenced maintenance timing or safety decisions, InferTrust™'s verifiable records provide evidence that the AI operated within configured safety parameters and that its recommendations were appropriately acted upon.