Download The AI Ethics Compass and join me in shaping an AI future built on trust, responsibility, and human dignity.

Lynne Kingsbury

I connect technology & strategy to drive AI-powered innovation.

About Lynne

Strategic Business & Marketing Leader

AI & Cybersecurity Advocate

Customer-Centric Innovator

Lynne Kingsbury is a visionary marketing and business leader with a track record of driving AI-powered business transformation, cybersecurity strategy, and customer advocacy. With over two decades of experience spanning Fortune 500 companies, emerging tech, and consulting, Lynne specializes in helping organizations navigate complex market transitions, accelerate technology adoption, and unlock new revenue streams.

Core Expertise:

AI & Digital Transformation – Leveraging AI-driven insights to enhance marketing, sales, and product strategies.
Cybersecurity & Data Strategy – Driving customer-centric security solutions aligned with enterprise needs.
Customer Advocacy & Engagement – Building trusted relationships that drive loyalty, innovation, and long-term value.
Cross-Functional Leadership – Aligning teams across business, product, and technical functions for strategic execution.
Storytelling & Thought Leadership – Translating complex concepts into compelling narratives that resonate with executives, stakeholders, and customers.

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30 Years in Technology Leadership

Strategy, Marketing, Development and Sales Roles
Pursuit of Excellence

Exceeding Expectations, Transparency, Learning from Calculated Risks
Transformative Innovation—Making Changes that Matter
Core Foundational Values

Strength, Integrity, Grace

Top of Mind

Topics Posts and Thoughts

What is the Difference Between Your Mind and Your Brain? Link

You Matter. And In the Age of AI That’s Not Under Threat Link

Before We Look at AI, Should we Look at Ourselves First? Link

Women Shaping the Future of AI Link

What is Your Favorite Interview Question? Link

AI Will Shape the Future, But Who Decides It’s Limits? Link

Red Teams Attack. Blue Teams Defend. Who’s Asking if We Should? Link

AI Will Shape the Future. But Who Decides Its Limits? Link

Optimism Isn’t Delusional, It’s Defiance Link

You are Never Too Busy to be Human Link

The Critical Role Storytelling Plays in Data Retention Link

The Ethics of AI: Who Decides Who Lives? Link

Everything I Needed to Know About AI, I Learned During One of the Most Challenging Times of My Life Link

Can AI Help Humans Be More Human? Link

AI Won’t Replace you, But Someone Using AI Might Link

We Don’t Indict, We Assist Link

How to Spot AIPasta

AI is not just a technological shift—its a trust shift.

As organizations move from experimentation to deployment, ethical considerations can no longer e reactive or optional. Trust muc be intentionally designed into AI systems from the start.

This framework represents AI Ethics as a living system:

Roots estblish trust through design

The Trunk represents core ethical and non-negotables

Branches extend into governance and oversight

Leaves reflect real-world use and user trust

Seasons reinforce that ethical AI must continuously evolve

Responsible AI is not a checklist—It is a structure that must hold under pressure, adapt over time an deliver a positive impact for people and society.

AI Ethics: Guiding AI Toward the Greater Good

AI has the power to transform how we live, work, and connect — but that power must be guided by purpose.
The AI Ethics Compass is a one-page framework I created to help leaders, innovators, and organizations ensure that AI advances humanity rather than undermines it.

Grounded in principles of accountability, fairness, and transparency, it serves as a reminder that the foundation of every successful AI initiative isn’t code — it’s conscience.

Download Ethics Compass

Driving to 1B Revenue Run Rate

I was working on a new product that had strong early success but then plateaued. We consulted our customers and realized the issue wasn’t product functionality, it was that people didn’t know how to use what they already had.
Once we focused on enablement and adoption, we saw revenue growth again the product ultimately contributed $1B in annual revenue.

That’s why with AI, I’m really focused not just on what it can do, but how organizations actually adopt it in a way that ensures human and AI alignment to drive real business outcomes.

Experience that Drives Results

Full Story

The $20M Protection Lesson: Listen. Capture. Act.

I ran customer advisory boards for over a decade, and in one session we uncovered a product issue that hadn’t been fully understood internally.
Once we fixed it for all of our customers, trouble tickets dropped by 90%, and I was able to identify more than $20M in protected revenue.
This experience really shaped my mindset.

Listen. Capture. Act.

We need execute efficiently, but I think AI needs more of that structure right now.

From "Could We?" to "Should We?" and HOW.

Most of my career was driven by managing shareholder expectations. The question was always ‘can we?’ Can we build it, sell it, scale it? Our primary objectives were revenue, growth and speed. We did not consider the implications beyond our core objectives.

AI is the first time I’ve seen that shift to ‘should we?’ because of the impact it can have.
And where I focus is the next step ‘how should we?’ How do we actually implement AI in a way that works for both the business and people.