Two AI's,
one company,
opposite fates.

In May 2026, Starbucks killed NomadGo, an AI inventory system across 11,000 stores, using cameras and LiDAR to count milk, syrups, and ingredients. The vendor claimed 99% accuracy and 8x speed. Nine months in, baristas were recounting everything the AI counted, and the system couldn't reliably recognise a peppermint syrup in its own promo video. Starbucks pulled the plug and scrubbed the announcement.

Meanwhile, inside the same company, Deep Brew is thriving, it decides which promo you see on your app, how many baristas a store needs at 2 PM Tuesday, what a location should reorder based on weather, events, and last week's data.

Same company. Opposite outcomes. Why?

Where AI sits matters more than which AI you use.

NomadGo tried to replace a whole process. Deep Brew makes hundreds of tiny decisions slightly better, at the point they're made.

The same pattern shows up elsewhere. Microsoft Copilot's accuracy NPS sits at −24.1. MIT's Project NANDA (2025) found 95% of organisations deploying GenAI saw zero measurable impact on the bottom line. Ambitious, company-wide AI keeps failing, placed at the wrong layer of the org.

On stage in Pune.

Our founder Sowjanya Bonda took this argument to the Entrepreneur Future Summit on June 13 — "Rewiring How Businesses Think."

Her opening frame: your org chart is a fiction. What actually runs your company is a decision network, the sales rep picking five customers today, the planner deciding what the factory makes this week, the procurement manager choosing what to buy, from whom, at what price. Hundreds of decisions weekly, mostly made on gut, memory, or stale data. Fix those, one at a time, and you move margin, delivery, and cash flow.

CASE 01  Electronic equipment manufacturer, ~50 people. Planner could only see 7 days of capacity ahead; founder heard "let me check" on every new order.

CASE 02  D2C dairy brand, 20,000+ farmers across 8 collection centres. Daily reconciliation took a full day; variances of thousands of litres went undetected.

Nobody was replaced. No ₹2 crore system was installed. Nobody had to learn a new tool. Same person, same role, dramatically better information, at the exact moment of the decision.

Three weeks later, the same thread.

At the AIBoomi Bootcamp on July 3-4, Sowjanya heard the same argument from a different room. Her sharpest takeaways:

Same argument, different rooms. The biggest AI wins right now are small, one workflow that no longer needs three approvals, one decision that used to take a week now taking an hour. Same people. Same roles. Every decision they make, a little sharper than yesterday.

Your planner is guessing.

Your sales rep is guessing.

Your procurement head is guessing.

That's the problem worth solving.

P.S:- We also wrote a piece this month on the cost side of AI:-

Why your AI bill keeps climbing even as AI gets cheaper.

Worth reading if that's a question you're sitting with.