AI Strategy, Adoption & Delivery
AI that actually ships.
You are accountable for AI in your organization.
I make sure it gets done right.
When AI feels messy, unclear, or stuck, I help you figure out what is worth doing and how to make it work. Bring the situation, or the idea you already want built. We'll work out the next step together.
I am not here to sell you tools. I will tell you what is ready, what is risky, and what is not worth building.
Where is AI getting stuck for you?
Most organizations don't have an AI problem. They have a delivery problem.
It usually shows up as one of these, and often more than one: nobody owns it, the data is not usable, the pilot works but nobody uses it, or people are quietly worried about their jobs.
Value
You have plenty of AI ideas, but no shared view of what is worth pursuing or where it will create meaningful value.
Readiness
The opportunity looks promising, but questions about data, risk, ownership, governance, or technical readiness are slowing it down.
Delivery & Adoption
A pilot or solution exists, but it is not becoming dependable, supported, and genuinely used across the organization.
Why JenAI
"She's one of the clearest thinkers I know on how AI can actually support the operational side of a practice - not hype, not hand-waving, just practical leverage."
Bo Wandschneider, ICD.D,
Former CIO, University of Toronto.
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I bring more than 25 years of enterprise technology experience and have worked in AI since 2016.
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I have led technical strategy at the IBM Generative AI Centre of Excellence, served as Head of Engineering at Architech, and helped move complex technology from ambitious ideas into systems that people can actually use.
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My experience spans the full problem: executive strategy, architecture, engineering, governance, organizational change, and adoption. That means I can see where an AI initiative is likely to break before the organization spends heavily discovering it the hard way.
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I have led teams through earlier platform shifts. That experience helps me separate durable change from temporary AI hype and translate between executives, legal, security, architecture, and engineering.
Deep experience. Practical judgment.
Examples are anonymized to protect client confidentiality.
From AI experimentation to production delivery
Led a 40-person engineering organization from AI experimentation to production delivery, establishing repeatable architecture, delivery discipline, and AI-assisted engineering practices.
Enterprise AI discovery with credible paths to production
Led cross-functional teams delivering GenAI and automation prototypes with architectural rigor, facilitating discovery and design workshops that shaped credible paths from exploration to production.
Tech leadership in high-stakes,
multi-vendor environments
Provided technical leadership on a large-scale, multi-vendor system with 80+ integrations across 30+ systems, directing architecture and delivery planning to reduce risk in a highly regulated environment.