Three Ds for a successful AI rollout
Do you remember Juicero? It was a $400 Wi-Fi-connected juicer that only worked with proprietary fruit packets, each costing as much as a juice from the store. After a much-hyped launch, the company tanked magnificently when it was discovered that the packets could simply be squeezed by hand, making the machine virtually useless. Juicero was a classic case of a product built to solve a problem…
The Wi-Fi-connected juicer company Juicero faced bankruptcy following its high-profile launch, as consumers discovered they could squeeze fruits by hand without the need for proprietary packets. This case exemplifies a product designed around a problem that never existed and showcases how AI applications can become similarly ineffective.
The same principle applies to AI platforms today, which often fail to deliver real value. To avoid this pitfall, companies must adhere to the "three Ds" approach: discuss, deputize, and dismiss.
The first step is to discuss AI decisions openly, avoiding closed-door meetings among executives. Engaging employees early allows for a more comprehensive understanding of where AI can add value. Employees should be asked whether they need AI or if they can perform tasks manually, similar to how Juicero packets could be squeezed by hand. Managers must explore how AI could streamline workloads, free up time for employees, and what controls are necessary for successful implementation.
Once a thorough assessment is complete, the next step is to deputize employees who can champion AI adoption. Identify those who have already integrated automation into their workflow, such as creating Slack routines or self-service tools. Allocate time for these champions to experiment and bring their findings to leadership meetings.
Pair a technically skilled individual, like Moments Lab's Olivier, with a client-facing team member to ensure a balanced perspective. Showcase their successes and failures internally to encourage wider adoption.
Finally, the third D is dismiss. The sunk-cost fallacy often leads companies to prolong failing AI initiatives due to past investments. To prevent this, set clear success metrics at the outset and establish review cycles. Establish authority to terminate underperforming projects without hesitation. Recognize that killing a non-functional tool is not a defeat but a necessary step to clear the way for effective solutions.
By following these guidelines, organizations can minimize the risk of investing in ineffective AI platforms and maximize the potential of this transformative technology.
Written by urgent.news from Fast Company's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
