Nalini George

Nalini George, PhD

Product Leader & AI Implementation Consultant

I help founders and executive teams put AI to work without the chaos of doing it themselves.

About

I am a product leader and AI implementation consultant. I work with founders and executive teams who need to move fast without losing what makes their decisions good.

I have built product across Planet FWD, Climate Corporation, Granular, and Bayer, mostly at the intersection of food systems, energy, and climate and sustainability. I have a degree from MIT, a PhD in materials science, and I hold six patents. That technical depth is where I learned to be precise about what's actually true before building on top of it.

Years of sitting across the table from customers taught me the other half of that instinct: listen for the story underneath what people are actually telling you, and let that shape the product. Empathy and technical precision are the same instinct for me, applied in different rooms.

Whether it's a materials lab, a product roadmap, or an AI rollout, the work is the same. Figure out what's real, then build something that holds.

MITUCSB — PhD, Materials SciencePlanet FWDClimate CorporationBayer

Recent Writing

The Product Lotus

Essays on AI adoption & product leadership, written from the vantage point of a mother of two kids.

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More from the archive


A Framework for AI Skills

The AI Skills Map describes how people get better at working with AI along two lines.

Direction skill runs from generic outputs to precise, usable ones. Connectivity skill runs from AI working in isolation to AI connected to systems and running inside workflows.

That gives four quadrants: Explorer, Craftsperson, Tinkerer, and Operator. Everyone starts as an Explorer. Judgment applies in every quadrant.

Read the full framework
Connectivity: isolated → inside workflows
Direction: generic → precise

Explorer

Generic outputs, AI used in isolation. Everyone starts here.

Operator

Generic outputs, but wired into systems and workflows.

Craftsperson

Precise, usable outputs, still produced one at a time.

Tinkerer

Precise outputs running inside connected workflows.

Original framework by Nalini George.


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