OLI can help you prevent operational losses and increase profitability.
Are operational losses costing you time and money?
Are your operational losses caused by human error?
Are your operational losses currently viewed in the rear-view mirror?
Do your operational losses happen in the business, operations, or at a vendor?
How OLI works
OLI ingests relevant internal and external data sets. Then, OLI uses machine learning to analyze the data sets to identify high-risk days.
To ensure integrity and privacy, OLI manages data securely.
OLI combines a company’s internal data with external data and uses machine learning to identify the likelihood of a human error resulting in a loss.
Once the likelihood of an error reaches a threshold, OLI generates an alert, prompting the team to take specific action in order to prevent the loss and avoid paying the Human Error Tax.
Explore some of our latest insights.
Artificial Intelligence and the Future of Risk Management
Shelly Liposky discusses how AI can help predict and prevent operational loss with Dr. Roger Noon at the 2021 XLod Global Conference.
An Interview with Shelly Liposky
RMA Journal interviews Shelly Liposky, who led the development at BMO Capital Markets of an artificial intelligence-powered platform that mitigates the risk of operational loss.
Self-Funding Investment to Reduce the Human Error Tax
The days when a three-year payback period was acceptable are long gone. Today’s leaders are expected to make strategic decisions, in less time, with faster returns. This is especially true when it comes to digital investments: none are cheap, so the faster an initial investment can pay for itself, the easier it is for companies to jump in.
The Human Error Tax
Human errors cost big money. While there's no category to identify how much is lost each year to human error, we can guess that a significant portion of reported operational losses are due to human error.
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