The Road to AI Is Paved with Good Intentions:

Pitfalls and Lessons Learned

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In this interview, Curren Katz, the co-CEO of Modulaire, shares her journey from early childhood education and cognitive neuroscience to leading AI initiatives in major healthcare and life sciences organizations. The conversation centers on how to responsibly and effectively implement AI, especially in the public and education sectors.

Curren emphasizes that successful AI adoption isn’t about the technology itself, but about starting with a clear organizational outcome and a deep understanding of the people you serve. She introduces her company’s “Modulaire” philosophy, which focuses on building a scalable, governed foundation that avoids the common pitfall of creating “AI debt” with siloed point solutions.

A major theme is the critical role of ethics and governance, which she reframes not as a brake on innovation, but as an accelerator that builds trust and allows organizations to move faster and more confidently. The discussion also highlights the importance of partnering with experienced experts and mature technology vendors like IBM, who provide the trustworthy, governed platforms necessary for high-stakes environments. Ultimately, the podcast is an optimistic guide on how to harness AI’s power to create meaningful, positive impacts in people’s lives.

Relevant Insights

Curren Katz, PhD is the Founder and Co-CEO of Modulaire (www.modulaire.ai), an AI solutions and service company bringing proven, scalable, and trustworthy AI to organizations.

Prior to starting Modulaire, as a Fortune 100 executive at Johnson & Johnson, Multiplan, and Highmark Health, Dr. Katz has led large-scale AI initiatives across healthcare and pharma. At Highmark, she built and scaled a full Data Science department and Research Institute, developing AI models to improve patient outcomes, reduce costs, and streamline operations. Her work has earned patents and international recognition through collaborations with IBM, Bosch and NASA. Dr. Katz is also an IEEE Certified Artificial Intelligence Systems Lead Assessor, authorized to evaluateAI ethics and issue CE mark certifications for AI Systems. Curren holds a PhD in Cognitive Neuroscience from Humboldt University in Berlin, a Master’s in Mind, Brain, and Education from Harvard, and a Bachelor’s in Early Childhood Education & Special Education from New York University.

What You’ll Learn in This Podcast:

Ethics as an Enabler: Why a strong ethical and governance framework is not a barrier but a critical accelerator that builds trust and enables faster, safer innovation.
The Key to Trust: Why maintaining public trust is a “one-shot” opportunity for public sector organizations and how to get it right from the start.
Building for Scale: The “modulaire” approach to building a foundational AI strategy that makes your second, third, and fourth AI projects faster and cheaper than your first.
The Human Element: The importance of involving the day-to-day end-users in the design process from the very beginning to ensure adoption and success.
Choosing the Right Partners: What to look for in an AI expert or technology partner, including the importance of proven experience that predates the current AI hype cycle.

The “Modulaire” Philosophy: Outcomes Over Technology

“First. Help, like focusing on outcomes, that is the most important thing, like really understanding not the, um, AI outcome, but the, the organizational outcome… Is it to, um, you know, improve the learning experience for a child in school? Is it to make it easier? For, um, administration… to focus on teaching children and not on, um, administrative work.”
• This is a core tenet of Modulaire’s approach: starting with the business or mission problem, not with the AI technology.

Ethics as an Accelerator, Not a Brake

“Ethics and governance is an accelerator. It makes people feel like they can go fast ’cause their car has brakes, right? Like a, a race car without brakes. I don’t think many, uh, drivers would feel comfortable driving very fast with that car. So it really is a, is something that, uh, is freeing…”
• A powerful metaphor that reframes ethical AI governance from a restrictive hurdle to a critical enabler of speed and trust.

The High Stakes of Trust in Public Service

“If we lose the trust of patients and families and the people we serve… people will be unable to, for, you know, utilize those services… You do get one shot. You have to get it right from the start. And that’s why it’s so incredibly important to find and partner with organizations that have deep experience…”
• Highlights the non-negotiable importance of trust and the consequence of failure, especially in sectors like healthcare and education.

Why IBM is a Trusted Partner for Governed AI

“IBM has been doing this a long time… they deeply understand and have, and not just understand, have developed and contributed to, uh, to ai. And you see that in the products and the maturity and their ability to deliver. Uh, absolutely high performing, but also trustworthy and governed AI.”
• Explains the strategic rationale for partnering with IBM, emphasizing their long-term maturity and built-in governance, which is crucial for risk-averse sectors.

The Pitfall of Point Solutions and “AI Debt”

“They use a, what I call a point solution… underneath isn’t built to scale, right?… they’re spending so much time and so much the resources to deal with that tech debt or AI debt, the integrations and maintenance of all of these separate solutions…”
• A critical warning about a common mistake: adopting siloed AI tools that create long-term integration and maintenance problems instead of a scalable foundation.

Involving End-Users from the Start

“Make sure they’re bringing in, uh, everyone, the people who have to live and work with the system from the start… there’s just critical insights that, um, a person who’s going to be using and interacting with the system… bring, that you cannot. You know, you’re, you won’t otherwise see.”
• Stresses the importance of change management and practical success by involving the day-to-day users in the design process to ensure the solution is adopted and effective.

The First Step Before Spending Any Money

“They, they need to be bringing in experts… bring in the experts early before you know, even the questions to ask. That’s okay too… to help you develop what. What are the different, what could the budget be? Uh, what can we do for the budget that we have? And if you bring in real like great experts, they’re actually gonna be able to help you do a lot more with that budget and creatively figure out what it is that really is going to matter and move the needle…”
• This quote provides the critical, foundational action item: before allocating funds or defining a project, engage with experienced AI experts. This early partnership is framed as a force-multiplier that helps define the right questions, maximize budget impact, and identify what will truly deliver value.