Most AI projects fail for a simple reason: people can be unpersuaded even when shown evidence by intelligent systems. Being more correct in a vacuum is meaningless. Getting people to take action is the key. We have therefore devoted our strategy and resources to combining core machine learning techniques with behavioral research and algorithms.
Our unique method engages experts in moving from basic analysis to identifying the root causes of errors and other outcomes. Once this pattern is complete, the AI can alert people to take counter actions to help improve outcomes.
Most organizations have abundant data, but not the right data to make accurate predictions. That’s because the best decision makers don’t record their assumptions, and the worst performers hold back their bad news. OnCorps addresses poor datasets by nudging people to collect better data and rewarding them with real time feedback.
Our behavioral science-based apps earn users’ buy-in and participation. Personalized nudges, targeted guidance and peer rankings give our apps a high return on use, which drives the positive loops that improve data collection and machine learning.
OnCorps adapts with each interaction to record better data, provide feedback and adjust recommendations. Personalized dashboards show performance rankings in real time. As gaps are identified, leaders can make adjustments or introduce new apps and nudges.
OnCorps’ platform engineering and App Builder software enables live apps to be delivered in 90 days, cutting costs in consulting, visualization, integration, and data. We can configure a customized SAAS solution for a fixed setup fee and subscription, at a total cost that is often far less than an internal development project.