Becoming AI-native takes one quarter, one revenue process and no new software: Here’s the 90-day plan you can run without a transformation budget.
When I wrote about the difference between using AI and being AI-native, the most frequent response from executives was a polite objection: the distinction is real, but redesigning how work happens is a luxury reserved for companies with transformation budgets.
I spend my working life inside those budgets, and most of what they buy is the expensive undoing of habits that formed when the company was small. A founder has nothing to undo yet, which is why the quarter ahead is worth more than the three-year program a large enterprise will fund.
Here is the plan I would run if I were building a company today with no budget beyond my own calendar. In 90 days, with no new software and no outside help, you can do the three things that separate an AI-native business from one that merely uses AI: Write down how the work actually happens, take ownership of your data, and redesign who decides and what gets measured.
In June, Genpact and HFS Research published a survey of more than 2,000 senior executives , and 85% of them said that accumulated enterprise debt — meaning undocumented processes, unusable data, aging systems and unprepared people — is limiting the value they get from AI. The researchers put the trapped value across the Global 2000 at roughly $18 trillion, found that only 33% of enterprise data is AI-ready and estimated that inefficient or manual processes consume about 40% of a typical employee’s week.
Source link







