The client was using an ERP and Hyperion. However due to the amount of moving parts and transactions, they had difficulty getting the systems match at any one point. This was further complicated because much of the reconciliation was done by the accounting team. We developed an AI bot that, on a fiscal-period schedule, logs into both the ERP and reporting environments, performs comparisons and reconciliations, and reports any mismatching information to the accounting team.

We create a robot capable of navigating this particular application to obtain and process the correct information, generating the correct report every day.

We built a data ingestion platform for the field IoT devices to feed data to. We trained and deployed an AI engine that facilitates the dynamic estimation of nominal and abnormal ranges in the streaming data and via an API reports back to the monitoring solutions the optimal alarm thresholds, previously defined manually. We built a classification system that can be further improved into a predictive maintenance solution leveraging AI models.