How to build an AI innovation pipeline that creates real long-term value
Briefly

How to build an AI innovation pipeline that creates real long-term value
"As 2026 begins, many organizations are launching AI transformation initiatives. The new year brings with it fresh budgets, renewed strategic focus, and mounting pressure to capture value from artificial intelligence. Yet studies consistently show that most AI projects fail to generate meaningful returns. Companies pour resources into promising experiments that never scale, accumulate tools that are never integrated, and watch initial enthusiasm curdle into skepticism."
"Instead, the critical "secret sauce" lies in having a systematic, rigorous, and repeatable approach that allows the leadership team to move from the identification of opportunities to operational deployment. This article offers a practical playbook for that journey, using the illustrative example of a midsize manufacturing firm (Aurora Windows)."
As 2026 begins, organizations are launching AI transformation initiatives with fresh budgets, renewed strategic focus, and mounting pressure to capture AI value. Most AI projects fail to generate meaningful returns. Companies often fund experiments that never scale, accumulate unintegrated tools, and see initial enthusiasm turn to skepticism. Lasting value comes from systematic, rigorous, repeatable approaches that let leadership move opportunities into operational deployment. Practical playbooks can guide that journey using examples like a midsize manufacturer (Aurora Windows). Lessons distilled from defense and finance show applicability for late-adopting firms with limited resources and allow modeling of success.
Read at Fast Company
Unable to calculate read time
[
|
]