From buzz to business value

AI is moving from buzz to business value—driving real-time decisions, reducing risk, and powering human potential. Companies that integrate AI deeply today will lead the future. The rest will struggle to catch up

- PCQ Bureau

For years, artificial intelligence (AI) has been a buzzword floating above boardrooms and conference panels. But as the dust settles, the businesses leading the AI race are those that have learned to ground the hype— and apply the technology where it matters most. According to Zorawar Purohit, CAIO & Co-Founder, M37 Labs, the most successful AI implementations today are driven by one question: What real-world problem are we solving?

From fraud detection in financial services to supply chain forecasting in retail, AI is no longer an experimental edge case. It’s a business necessity.

Turning AI Into Operational Muscle

Retailers are using AI to forecast demand and manage inventory with pinpoint precision. Banks are detecting fraud in real time. Logistics companies are optimizing delivery routes to cut fuel costs and reduce delays. These aren't theoretical models—they’re active tools improving efficiency, reducing risk, and driving better decisions.

This shift reflects a maturing ecosystem, where AI is becoming less about moonshots and more about measurable impact. “AI delivers the most value when it’s solving real business problems,” says Purohit. That practical lens is reshaping how enterprises view the technology—not as a futuristic investment, but as operational infrastructure.

Predictive Analytics: From Insight to Intervention

One of the most powerful real-world applications of AI today is in predictive analytics. By analyzing historical data patterns, businesses are identifying risks before they happen—and acting accordingly.

Subscription-based platforms, for example, are using AI to detect churn risk. If a customer's behavior signals dissatisfaction, companies can intervene with personalized offers, improving retention and extending customer lifetime value.