An Interview With Chad Silverstein
Resilience with Bite — I don’t just survive “no,” I metabolize it into a better strategy. I’ve been told “this won’t work” so many times I could write a coffee table book. But every time it did work, I sent those doubters the press release. It’s not about petty revenge, it’s about showing that communities like mine can and will lead in cutting-edge spaces when given the resources.
In today’s tech-driven world, artificial intelligence has become a key enabler of business success. But the question remains — how can businesses effectively harness AI to address their unique challenges while staying true to ethical principles? To explore this topic further, we are interviewing Nichole Bascue.
Nichole Bascue is the COO of the Muckleshoot Indian Tribe and co-founder of N² Consulting, one of the only tribally owned, women-led consulting firms working with both Tribal nations and Fortune 500 companies. Known as a “systems disruptor in heels,” she’s the architect behind the first Indigenous-led AI platform designed to expand healthcare access while honoring culture, sovereignty, and language — boosting outcomes by over 80% in her first year. A sought-after strategist and speaker, Nichole has shared stages with the World Health Organization, Harvard, and sovereign leaders worldwide, challenging audiences to rethink what innovation looks like when it’s rooted in reciprocity, not extraction.
Thank you so much for joining us in this interview series. Before we dive into our discussion, our readers would love to “get to know you” a bit better. Can you share with us the backstory about what brought you to your specific career path in AI?
I didn’t wake up one day and say, “You know what I need in my life? Machine learning.” My entry into AI came the same way most of my career pivots have, by staring down a broken system and thinking, I can’t leave it like this.
As COO of the Muckleshoot Indian Tribe, I saw health systems designed for everyone but us. The scheduling, the outreach, the patient engagement — all optimized for a “default user” who doesn’t speak our languages, doesn’t live in our communities, and doesn’t move through the world the way we do. These systems weren’t failing because people didn’t care. They were failing because they were never built with us in mind.
So when I co-founded N² Consulting, I didn’t chase AI for the hype I chose it because it was the scalpel sharp enough to cut into these legacy systems and rewire them from the inside. The goal was never “tech for tech’s sake.” It was: How do we build tools that are culturally relevant, sovereignty-first, and make people’s lives materially better? AI just happened to be the best way to do that.
Can you share the most interesting story that happened to you since you started working with artificial intelligence?
A couple years back, I was speaking at a global health tech conference about Indigenous-led AI. A Silicon Valley exec (big-name badge, fancy VC title) leaned over and said, with complete sincerity, “So… does Indigenous AI mean you’re, like, carving microchips out of cedar?”
I could’ve rolled my eyes into another dimension, but instead I smiled and said, “No, it means our platform increased healthcare access by 80% because it was designed for the people it’s actually serving.” I walked him through how we integrate language, culture, and sovereignty into the design, and by the end of our conversation, he was pitching me on a collaboration.
That moment taught me two things: One, ignorance isn’t always malicious. It’s often just lazy. Two, people will underestimate you until you hand them proof in numbers they can’t ignore. And then they’ll ask how you did it, forgetting they just mocked the idea fifteen minutes ago.
You are a successful leader in the AI space. Which three character traits were most instrumental to your success?
1. Audacity — I do not wait for permission slips. The first time I pitched an Indigenous-led AI healthcare platform, I had someone in a very expensive suit tell me, “That’s not how AI works.” I told him, “Then AI’s been working wrong.” It’s that willingness to question the “rules” that’s allowed me to lead projects others wouldn’t touch.
2. Cultural Clarity — If the tech doesn’t reflect the values of the people it’s supposed to serve, it’s not worth building. Period. Every feature in our AI platform went through what I call a “values stress test” to make sure it wasn’t just functional, it was culturally safe and relevant. That meant slower development cycles sometimes, but the trust and adoption rates paid for themselves ten times over.
3. Resilience with Bite — I don’t just survive “no,” I metabolize it into a better strategy. I’ve been told “this won’t work” so many times I could write a coffee table book. But every time it did work, I sent those doubters the press release. It’s not about petty revenge, it’s about showing that communities like mine can and will lead in cutting-edge spaces when given the resources.
Let’s jump to the primary focus of our interview. Can you share a specific example of how you or your organization used AI to solve a major business challenge? What was the problem, and how did AI help address it?
We had a serious gap in preventive care: missed vaccinations, unmanaged chronic illnesses, and patients only engaging when things were urgent. The problem wasn’t apathy, it was access. People couldn’t get appointments, didn’t trust the system, or didn’t have reminders in their own language.
We built an AI-powered health engagement platform that:
- Sent appointment reminders in Lushootseed and English.
- Flagged high-risk patients using predictive analytics.
- Linked patients to culturally relevant resources, like traditional medicine options alongside Western treatments.
The results? An 80% increase in healthcare access among tribal members, pediatric vaccination rates jumping from 30% to over 80%, and for the first time, the community owned the health data, not a third-party vendor. That last part is critical, data sovereignty is as important as the care itself.
What are some common misconceptions you’ve encountered about using AI in business? How do you address them?
- “AI is neutral.” Nope. AI is a mirror — it reflects the biases of its creators. If those creators aren’t building for equity, they’re building in inequity.
- “AI is too expensive for meaningful social impact.” Wrong. Doing it wrong is expensive. Doing it right — especially when you start with a clear, focused problem — is often more cost-effective than the status quo.
- “You have to choose between tech and tradition.” False. Tradition is technology — it’s just been tested for thousands of years instead of a sprint cycle. We can (and should) design modern tools that carry ancient wisdom forward.
In your opinion, what is the most significant way AI can make a positive impact on businesses today?
By freeing humans to do the work only humans can do. AI should handle the repetitive, rules based tasks so employees can focus on creativity, problem-solving, and relationship building. That’s where the real value is, not in squeezing every drop of labor from people, but in amplifying what they’re uniquely good at.
Ok, let’s dive deeper. Based on your experience and research, can you please share “5 Ways AI Can Solve Complex Business Problems”? These can be strategies, insights, or tools that companies can use to make the most of AI in addressing their challenges. If possible, please share examples or stories for each.
- Predict Needs Before They Become Problems Use AI to anticipate supply chain issues, staffing shortages, or patient risks so you act proactively, not reactively.
- Automate the Repetitive, Protect the Creative Let AI handle admin work so teams can focus on innovation and strategy.
- Personalize Without Creeping Deliver tailored experiences based on consent and transparency, not shady data mining.
- Data Sovereignty as a Competitive Advantage Own and protect your data. Customers will trust you more if they know you’re not selling them to the highest bidder.
- Equity by Design Build fairness into your models from the start; fixing bias after launch is harder, costlier, and more damaging to your brand.
How can smaller businesses or startups integrate AI effectively with limited budgets?
Don’t buy the fanciest tool on the market. Pick one process. Maybe scheduling, maybe customer service, and automate it with AI. Measure the ROI. Then reinvest the gains into your next AI step. And please, make sure the tool fits your values before your budget.
What advice would you give to business leaders who are hesitant to adopt AI because of fear, misconceptions, or lack of understanding?
If your hesitation comes from ignorance, educate yourself. If it comes from fear of replacing people; design it so you don’t. AI is just a tool; the ethics come from how you wield it.
In your opinion, how will AI continue to shape the business world over the next 5–10 years? Are there any trends or emerging innovations you’re particularly excited about?
We’re going to see a split between companies that let AI dictate decisions and companies that use AI to enhance human judgment. The latter will win, because while machines can calculate, they can’t empathize, build trust, or lead movements.
How do you think the use of AI to solve business problems influences relationships with customers, employees, and the broader community?
Done right, AI builds trust, it delivers on promises faster and more accurately. Done wrong, it erodes trust almost instantly. Our AI platform has turned patients into advocates because it feels like it was built for them, not for the system’s convenience.
You are a person of great influence. If you could start a movement that would bring the most amount of good to the most amount of people through AI, what would that be? You never know what your idea can trigger. 🙂
The “Sovereignty Stack.” A global set of tools for communities to own their data, control their AI, and set the terms for how tech operates in their lives. No more renting our future from someone else’s servers.
How can our readers follow you online?
LinkedIn Nichole Bascue: where I talk about sovereignty, innovation, and leadership without the buzzword salad.
Photo Cutlines
First Photo
Nichole Bascue Headshot
Second Photo
N² Team/Family Photo
This was great. Thank you so much for the time you spent sharing with us.
About the Interviewer: Chad Silverstein is a seasoned entrepreneur with 25+ years of experience as a Founder and CEO. While attending Ohio State University, he launched his first company, Choice Recovery, Inc., a nationally recognized healthcare collection agency — twice ranked the #1 workplace in Ohio. In 2013, he founded [re]start, helping thousands of people find meaningful career opportunities. After selling both companies, Chad shifted his focus to his true passion — leadership. Today, he coaches founders and CEOs at Built to Lead, advises Authority Magazine’s Thought Leader Incubator.
Nichole Bascue of N² Consulting On How Artificial Intelligence Can Solve Business Problems was originally published in Authority Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story.