Artificial intelligence is synonymous with a variety of algorithm-based tools that leverage technology to do the mundane tasks historically performed by staff members. But with those tools the process of interpretation and decision-making still rests on people. Artificial Decision Intelligence (ADI) closes this human intervention gap by automating the decision analysis and what-if planning usually performed by staff. ADI solutions offer comprehensive, real-time autonomous decision-making alternatives that deliver the best probabilistic outcomes without the limitations and subjectivity of human intervention.

Artificial Intelligence-based tools like BPI and RPA still require significant human intervention

Business Process Improvement (BPI) tools gather data from a variety of data sources e.g., the company’s ERP system or a project manager’s spreadsheet and roll them up to a dashboard. But project managers and leaders are still left with the task of interpretation and decision-making.

Robotic Process Automation (RPA) systems capture process information that involves data and can move actions along by imitating their human counterparts e.g., repeating the inquiries or instructions usually performed by people. Still, outcome-based selection choices and coordinated cross-functional action plans are left up to analysts, project managers and other decision-makers.

Artificial Decision Intelligence closes the human intervention gap

●       ADI automates the tasks, decision analysis and what-if planning usually performed under duress by already-stretched-or-hard-to-hire staff members

●       ADI solutions offer enterprise-wide, real-time autonomous decision-making alternatives by integrating a broad-array of data types and presenting the current situation in terms of decisions and real actions that can be taken to deliver the best probabilistic outcome and without the limitations and subjectivity of human intervention.

●       ADI accelerates the decision-outcome-action loop to hyper speed. ADI autonomously curates the context of enterprise data allowing a manager to see recommended decisions and actions in real time, act faster and drive better outcomes.

Next-generation artificial decision intelligence technologies are the best way to handle current volatile and uncertain situations. For example, supply risks are detected, alternative supply is identified, order signals are sent, and new build plans are created all in one autonomous, 24 X 7 move. Automating the data-decision-action-outcome loop eliminates your staff time launching the obvious if-this-then-that next steps, follow-up meetings to check on known actions, and time zone delays. Increasing speed and automating known processes delivers optimal business outcomes and improves quality of interconnected decisions and actions within the enterprise. For this supply chain example, the normal weekly supply planning cadence could be reduced from days to minutes, or even seconds.

ChatGPT has drawn the world’s attention to the power of artificial intelligence. Artificial Decision Intelligence takes it the next step further drawing on a number of new algorithms and methods. Soon companies will learn how to use these new platforms to deliver giant strides in team productivity and speed.

For more on this topic, please contact the author.

Joe Carson

VP Business Development, ExperienceFlow