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 can save banking from itself
Would you drive fast at night without lights, airbags, or seatbelts? Hopefully not! As with AI used in vehicles, AI helps banks see what’s coming, so we can change course or stop on a dime.
RMA Voices in Risk
RMA Voices in Risk Management podcast interviews Shelly Liposky, discussing top challenges of managing technology risk and the development of BMO's operational loss intelligence platform.
Using Creativity to Help Manage Risk for Financial Institutions
Shelly Liposky talks about her experience using creativity to solve specific business challenges and design innovative solutions in an interview with American Banker.
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.
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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