Redesigning Core Structures: How Companies Can Unlock AI Value, According to McKinsey

When you hear about artificial intelligence breaking new ground, the first thing that comes to mind is usually shiny tech – massive models, clever algorithms, the whole shebang. Yet a fresh McKinsey report reminds us that the magic only happens if you re‑think the very way your organization is built.

The study, based on a global survey of more than 700 senior leaders, found that firms which simply tack AI onto existing processes end up with modest gains at best. In contrast, a cohort McKinsey dubs “reinventors” are seeing markedly better results because they’ve chosen to redesign core structures – from who decides what, to how work flows across functions, to where value is actually created.

So, what does it look like when a company decides to reinvent itself? The report distils five practical lessons drawn from the high‑performers.

1. Organise around end‑to‑end value, not siloed departments. Instead of the classic hierarchy, these firms set up cross‑functional squads that own a full customer journey, backed by modular technology platforms that can be swapped in and out as needs evolve.

2. Extend the organisation beyond its walls. Reinventors are picky about what capabilities to keep in‑house and where to bring in external partners for speed, scale or expertise. Partnerships become another arm of value creation, not just a cost‑saving outsource.

3. Keep strategy fluid and capital agile. Rather than relying on a static three‑year plan, they move to quarterly outcome‑based targets or dynamic re‑forecasting. Money and talent shift quickly toward initiatives that show promise, and under‑performers are pruned without hesitation.

4. Align incentives with the transformation. Compensation is tied to team‑level results and overall enterprise performance, not just narrow unit metrics. The idea is simple: reward people for creating value for the whole company, not just padding their own scorecards.

5. Build workforce capabilities around skills, not job titles. Employees are matched to critical workflows based on what they can actually do, while automated agents handle the repetitive bits. This fluid skill‑first approach lets firms react faster to changing market demands.

McKinsey warns that today’s operating structures are becoming a core competitive differentiator. Minor tweaks won’t cut it – you need a genuine reconstruction of how the business runs, or you risk falling behind faster‑moving rivals.

In short, the future of AI in business isn’t just about algorithms; it’s about the people, processes and partnerships that bring those algorithms to life. Companies willing to take the reinvention plunge are already reaping stronger performance, and the message is clear – redesign or risk being left in the dust.