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Jessie McRae
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Perspective

Where AI Product strategy meets operating reality.

Perspectives on Product, Experience, operating models, commercialization, and the systems required to turn AI capability into durable business value.

01

Transformation · work-rooted reflection

Looking back: what Client Product Success taught me about Forward-Deployed Product

Customer-facing teams and Product organizations saw different parts of the same customer problem. Recurring demand could be resolved case by case without becoming a clear Product, process, or ownership decision.

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02

Product · work-rooted reflection

What makes an AI Product factory effective?

AI makes it easier to produce code, content, prototypes, and candidate features. It does not automatically make the second Product faster, better, safer, or cheaper to operate.

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03

Experience · work-rooted reflection

Trust, intent, and escalation: the enduring questions behind AI Product strategy

A financial assistant had to understand what a customer was trying to accomplish without overreaching when context, permission, confidence, or consequence made automated action unsafe.

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04

Marketing · work-rooted reflection

From acquisition analytics to an adaptive growth system

The immediate acquisition question is mundane and consequential: what traffic is arriving, from where, what people do next, where the funnel fails, and whether the instrumentation is trustworthy enough to support a decision.

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05

GTM · work-rooted reflection

From field learning to reusable Product strategy

Customer-specific work can create immediate value while leaving the organization unsure whether it is learning, repeating bespoke labor, or discovering a capability that belongs in the Product.

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Jessie McRae

AI Product & Commercial Strategy

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