Every organisation says it wants more innovation, and few manage it consistently. Ideas are generated and then lost; promising innovations stall between the pilot and the business; and nobody tracks whether the value arrived. Because so little of it is measured, it depends on who happens to be in charge.
Innovation and AI sets out the method Gareth created at Klynetic Innovation, rooted in FODA, and the practice of running it. Each topic follows the same pattern: here is the problem, here is a framework for a solution, and here is why getting an organisation to do it is hard, with what to do about the politics, the incentives and the habits.
It is written for the chief executive of a mid-sized organisation who wants to speed up innovation in the age of AI, and for the person they task with doing it: the case and the framework for the first, enough how-to to start on Monday for the second.
The three parts
Ideas: generating them, selecting among them, and handling the many that are turned down
Innovations coming to life: insight, framing, options, testing and teaming
Value realisation: turning a tested innovation into value, and tracking it