Managing the risks and returns of intelligent automation

“Step 1. Establish a dedicated intelligent-automation risk-return center of excellence

Step 2: Identify and prioritize opportunities for end-to-end optimization and business simplification

Step 3. Develop a robust framework to integrate technology solutions across the end-to-end value chain

Step 4: Assess AI and automation risks

Step 5. Design a framework and infrastructure to monitor risk and returns”

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