Also to probabilities were going to factor in so many things that the risk keeps getting smaller and smaller. So computer modeling aside here youve got a real like accident unfolding and the computer models to my knowledge arent really providing that much reliable information, good information and i gather there was a fair level of disagreement of decisionmakers as to what the best course of action is. Fortunately it doesnt appear that the west coast could have been affected and if that was the case then that probably was a worstcase scenario. Prosco i think going through a lot of what the challenges of working with the models was really the lack and the models are built around knowing where you start. Its almost like playing a game of the novel he and everybody puts their pieces randomly on the board. That was the failing in that situation. People just didnt really know what was coming down. Guest is that because you didnt have the basic information from japan and you came in at at mi
More companies are including ESG factors along with the other risk factors they track as part of a robust financial crime and anti-bribery & corruption rating system.
Lysis Group Launches AI-Driven Off-Grid Workflow (OGW) Solution For Client Lifecycle Management (CLM) Date
Designed to mitigate rapidly rising costs of financial crime and AML activities
AI solution targets the 30-50% of workflow such as email that is outside core CLM systems
Using proven AI technology to deliver up to 75% effort saving on email management alone
Lysis Group, a leader in business change management services and a provider of innovative CLM managed services through Lysis Operations, launches a new AI-driven, Off-Grid Workflow solution for regulated firms. It has been designed to combat the rapidly rising costs of CLM and anti-money laundering (AML) activities. Research indicates between 30% - 50% of the total cost of client on-boarding and refresh sits outside core CLM systems in email and other tools – i.e.“off-grid workflow”. OGW uses proven AI technology to manage the off-grid workflow, demonstrating up to a 75% effort saving for overall manag