26 Deploying Artificial Intelligence ^Top Employees can be primed with proactive measures such as encouraging ideas for solving problems with AI at individual employee-level, incentivizing creativity and innovations, and establishing trust by being transparent about the implementation of AI.58 Over time, when the organizational culture is molded deliberately by involving all levels of the organization in preparation for AI, cultural readiness will be seen in employees’ enhanced risk appetite, openness to change, and willingness to learn and actively pursue creative ideas.59 A well-known example is Amazon, which went about actively probing every team on how they could embed the technology into their businesses. Over time the firm embedded AI in every function and business unit. Transfor- mative product development through its own technology platform (AWS), seamless customer connectivity through Echo, and efficiency of inventory management through robots are illustrative of this.60 The secret sauce for success with AI is true integration of business and technology because AI has the potential to cause fundamental disruptions to business models. Silos block progress. People and processes that span boundaries, on the other hand, helpfully serve as anchors for knowledge shar- ing across functions and scaling the solutions. Bilinguals are important for AI enablement because they speak to both technological complexities of AI as well as business intricacies involved in its adoption. Processes that bridge the gap between business and technology groups and create incentives for work- ing together can eliminate siloed functioning. This is critical in the long run for keeping pace with AI-enabled technology curves and for being able to spin 58 Michael Mankins, “How Leading Companies Build the Workforces They Need to Stay Ahead,” Harvard Business Review, September 07, 2017, https://hbr.org/2017/09/how-leading-companies-build-theworkforces- they-need-to-stay-ahead. https://medium.com/world-of-ai/leadership-in-ai-watch-moneyball-85125c81e54d 59 Marco Iansiti and Alan MacCormack, “Developing Products on Internet Time,” Harvard Business Review, September-October 1997, https://hbr.org/1997/09/developing-products-on-internet-time. 60 https://www.wired.com/story/robotics-renaissance/ https://www.wired.com/story/amazon-artificial-intelligence-flywheel/