Coca-Cola isn’t interested in AI pilots that generate headlines but don’t drive results. Under a directive from top leadership, including CEO James Quincey, the company’s technology team is under strict orders: no AI experiments unless they clearly boost revenue or cut costs.
“We don’t run hobby projects,” says Neeraj Tolmare, Coca-Cola’s Global Chief Information Officer. “Every pilot must be tied to a real outcome that moves the needle for us.”
Artificial intelligence at Coca-Cola is measured, disciplined, and deeply pragmatic. From generative content tools to demand forecasting models and early experiments with agentic systems, the company is applying a rigorous return-on-investment filter to everything it builds.
Tying AI to Tangible Gains
Coca-Cola’s AI
Heron Data Targets Manual Backlogs with Vertical AI and $16.6M Series A
Heron says they now process over 350,000 documents a week
