#organizational-alignment

#organizational-alignment

It all started back in the early 1990s at a meeting with our travel agent advisory board. This was a group of about a dozen standout travel advisors from across the country chosen by our sales team not just for their sales volume but for their creativity and sharp business instincts. They came from a variety of backgrounds, brought different perspectives to the table, and had all built successful businesses from the ground up. Most importantly, each was seen as savvy and articulate.

"I want to understand how you spend your working hours - and, ideally, what you've made (or are making) that you're most proud of," Weiss told newsroom employees in the memo, which was viewed by Business Insider. Weiss advised employees to "be blunt" and avoid jargon like "synergy," saying that she's also interested in hearing "how we can be better."

Over 40 minutes, the panel returned again and again to three themes: data quality, organizational alignment and cultural readiness. The consensus was clear: AI doesn't create order from chaos. If organizations don't evolve their culture and their standards, AI will accelerate dysfunction, not fix it. Clean data isn't optional anymore Allen set the tone from the executive perspective. He argued that enterprises must build alignment on high-quality, structured and standardized data within teams and across workflows, applications and departments.

The problem here isn't just that an AI might 'break' and go rogue; the danger of an AI taking matters into its own hands can arise even when the model is working as intended on a technical level.