An Interview With Chad Silverstein
I believe the future isn’t humans versus AI. It’s humans working alongside AI.
As a part of this series, we had the pleasure to interview Kamya Elawadhi.
Kamya Elawadhi is the Co-founder and President of Doceree, the only AI-powered Operating System for healthcare marketing. She plays a key role in shaping Doceree’s global strategy, client partnerships, and operational execution, working closely with pharmaceutical and life sciences organizations to modernize how technology, data, and intelligence are applied across healthcare marketing. Her work has helped embed artificial intelligence, advanced analytics, and real-time optimization into marketing workflows, enabling more adaptive, measurable, and privacy-first engagement at scale. Kamya is known for building high-performing global teams and fostering strong cross-functional collaboration across technology, data, and commercial functions. Her leadership emphasizes operational rigor, governance, and consistency — critical enablers of sustainable digital transformation in regulated environments. A respected industry voice, Kamya has been recognized as an MM+M Women of Distinction, Cynopsis Top Women — Adtech Innovator, and a Top Woman in Media & Ad Tech by AdMonsters and AdExchanger in 2025. She regularly contributes to industry dialogue as a speaker, juror, and mentor, supporting the next generation of leaders in healthcare and technology.
Thank you so much for doing this with us! To set the stage, tell us briefly about your childhood and background?
My academic foundation is in Journalism and Mass Communication, but my passion has always been advertising. I was inspired by how strategic storytelling can build brands and move audiences. That passion became the driving force behind my transition into brand strategy and communications.
Over the years, I’ve had the opportunity to work with organizations like HS Ad and McCann Worldgroup, collaborating with more than 30 global brands across healthcare and consumer markets. Those experiences sharpened my understanding of strategy, scale, and impact.
Recognizing the growing digital gap in healthcare, I eventually co-founded Doceree with the vision of transforming healthcare marketing, making it more intelligent and measurable, and ultimately contributing to improved affordability and access.
What were the early challenges you faced in your career, and how did they shape your approach to leadership?
Early in my career, I realised that growth is exciting, but it can quickly become overwhelming if there isn’t enough structure behind it. I saw how rapid expansion puts pressure on people and processes, and that was a real learning curve for me. It taught me that ambition alone isn’t enough; you need clarity, discipline, and alignment.
When I moved deeper into healthcare marketing, the challenge shifted. It wasn’t just about scaling ideas; it was about earning credibility. Healthcare is highly regulated, and rightly so. We couldn’t focus only on innovation; we had to make sure everything was compliant, relevant, and responsible. That phase was challenging, but it shaped how I think about leadership.
Today, I strongly believe that transformation has to be accountable. Real, sustainable growth comes from balancing bold thinking with patience, transparency, and long-term responsibility.
We often learn the most from our mistakes. Can you share one mistake that turned out to be one of the most valuable lessons you’ve learned?
One mistake that really stayed with me happened on my very first day at an agency. A client asked for an overnight turnaround on a campaign. We worked late and shared a draft by evening, but it was rejected. We reworked it again and sent another version at 2 am. Wanting to close the loop, I requested immediate feedback and pushed for a call.
During that call, I made the point that if teams are expected to stretch for urgency, timely responses from the client matter just as much. What I did not realize at the time was that I had woken up the CMO.
It was uncomfortable, but it taught me something important. You should stand up for your team, but you must do it with awareness and respect. Confidence does not require aggression, and hierarchy should not silence clarity. Interestingly, years later, that same CMO brought me in to co-lead marketing for a major brand. That experience reinforced that professionalism builds long-term credibility.
A.I. is a big leap for many businesses. When and what first sparked your interest in incorporating it into your operations?
My interest in AI didn’t come from the buzz around it. It came from frustration. Across industries, I kept seeing the same pattern: there was plenty of data, but none of it was really connected. In healthcare marketing especially, platforms, compliance systems, and point-of-care environments were all operating separately. It felt inefficient.
At some point, I realized small fixes weren’t going to solve a structural issue. We needed something more cohesive. That’s what pushed us at Doceree to think about AI not as automation but as a way to intelligently connect context, workflows, and compliance.
I’m optimistic about AI, especially in healthcare, because it can reduce noise and make communication more relevant. But I’m equally mindful of responsibility. In a space built on trust, innovation has to be ethical. For me, AI is powerful only when it empowers professionals rather than overwhelms them.
AI can be a game-changer for individuals and their responsibilities. Can you share how you personally use AI and what are your go-to resources or tools?
I use AI as a force-multiplier for the parts of my work that are slow, repetitive, or information-heavy. The biggest value for me is speed-to-understanding: it helps me get to relevant information much faster than I could on my own. Whether it’s industry trends, regulatory updates, competitor moves, or market performance data, AI lets me scan, summarize, and compare inputs quickly so I can spend more time on decisions and strategy — not just collecting materials.
Within our ecosystem, I rely on AI-driven analytics to spot patterns across regions and campaigns. It helps me see shifts early, which means we can refine strategy proactively instead of reacting after the fact. I also use AI for organizing research, structuring reports, and identifying themes from stakeholder feedback. It simply reduces the noise.
That said, I’m very clear about one thing. AI informs my thinking, but it doesn’t replace it. Judgment, ethics, and long-term vision are still human responsibilities. The real advantage comes from combining intelligent tools with thoughtful leadership.
On the flip side, what challenges or setbacks have you encountered while implementing A.I. into your company?
Healthcare is not an industry where you can experiment carelessly. The moment you talk about AI here, it is understood that privacy and compliance are not optional, they are foundational. I’ve always believed that personalization should never come at the cost of ethics or patient trust. That balance is non-negotiable.
As we evolved Doceree into an AI-led platform, one of the biggest challenges was making sure intelligence worked within strict regulatory boundaries while still being meaningfully precise. Healthcare professionals are discerning. If communication isn’t relevant to their workflow and fully compliant, it simply doesn’t work.
Another layer of complexity is fragmentation. The life sciences ecosystem spans multiple digital and point-of-care environments, and they don’t naturally connect. For AI to truly add value, it has to unify these touchpoints responsibly, without crossing governance lines.
For me, the real test of AI in healthcare isn’t how advanced it sounds. It’s whether it builds trust while delivering measurable impact. That principle continues to guide how we innovate.
Let’s dig into this further. Can you share the top 5 A.I. tools or different ways you’re integrating AI into your business? What specific functions do they serve and what kind of result have you seen so far? If you can, please share a story or example for each.
That’s a great question. At Doceree, we don’t think of AI as a collection of standalone tools; it’s embedded into the core of how our platform operates.
1. Contextual intelligence layer
First is our contextual intelligence layer. It understands what a healthcare professional is engaging with in real time and aligns messaging accordingly. We’ve seen that when communication fits naturally into the environment; engagement becomes far more meaningful.
2. Predictive modeling
Second, predictive modeling helps us identify high-intent audiences based on behavioral signals within endemic healthcare ecosystems. In specialist campaigns, this has significantly reduced wasted outreach and improved precision.
3. Measurement intelligence
Third, our measurement intelligence moves beyond impressions and connects exposure to professional actions, helping partners focus on influence rather than vanity metrics.
4. Privacy-first identity resolution
Fourth is privacy-first identity resolution, built entirely on consent-based signals to ensure compliance.
5. Workflow integration
Finally, workflow integration ensures messaging aligns with clinical workflows. At Doceree, the goal isn’t just smarter targeting; it’s responsible, context-driven engagement that builds trust while delivering measurable impact. Together, these layers strengthen precision, accountability, and responsible scale.
There’s concern about A.I. taking over jobs. How do you balance A.I. tools with your human workforce and have you already replaced any positions using technology?
I understand the concern, but I genuinely don’t see AI as a replacement for people. I see it as reinforcement. Throughout my career, I’ve seen technology reshape how teams work, but it rarely replaces the need for judgment, empathy, and strategic thinking; especially in healthcare.
At Doceree, AI handles what it’s good at: processing large datasets, identifying patterns, and reducing repetitive manual work. But strategy, client relationships, ethical decisions, and creative thinking are still very human responsibilities. In fact, in a regulated industry like healthcare, nuance and accountability can’t be automated.
We haven’t replaced roles with AI. What we’ve done is evolve them. Teams now spend less time pulling reports and more time interpreting insights and shaping direction. That shift actually makes roles more valuable, not less.
I believe the future isn’t humans versus AI. It’s humans working alongside AI. As leaders, our role is to upskill teams and ensure technology expands capability rather than creates fear.
Looking ahead, what’s on the horizon in the world of AI that people should know about? What do you see happening in the next 3–5 years? I would love to hear your best prediction.
From where I sit in healthcare marketing, the debate is no longer about whether AI belongs here. That part feels settled. The real question now is how deeply it will reshape the way we engage and support decisions.
Over the next few years, I see a clear move away from broad outreach toward communication that is far more precise and context-aware. What that really means is understanding not just who to reach, but when and how. If AI can align messaging with a clinician’s workflow instead of interrupting it, the quality of engagement changes completely.
I also think we’ll start using AI earlier in the process. Instead of launching campaigns and then reacting to results, teams will test, predict, and refine messaging in real time.
What excites me most is that this shift isn’t about doing more. It’s about doing better. But in healthcare, innovation only works if trust remains intact. Governance and privacy have to evolve alongside capability.
If you had to pick just one AI tool that you feel is essential, one that you haven’t mentioned yet, which would it be and why?
One capability I don’t think we talk about enough is intelligence orchestration. Not just AI that generates outputs, but AI that actually connects fragmented systems and makes sense of them.
In healthcare, especially, data lives everywhere. You have clinical environments, digital platforms, point-of-care systems, compliance layers, behavioral signals — and most of it operates in isolation. The real opportunity isn’t producing more dashboards. It’s bringing those inputs together responsibly and turning them into something clear and usable.
Over the next few years, I don’t think the competitive advantage will be who has the most data. It will be who can connect context, compliance, and measurable outcomes into one coherent system. Organizations that treat AI as core infrastructure, rather than a collection of tools, will move faster and more responsibly.
In a complex ecosystem like healthcare, clarity is powerful. And the ability to create that clarity, without compromising trust, will be the real differentiator.
For the uninitiated, what advice would you give someone looking to integrate AI into their business, and doesn’t know where to start?
My first advice would be simple: start with the problem, not the technology. It’s easy to get excited about AI tools, but if you don’t know what you’re trying to fix, you’ll end up adding complexity instead of value.
Look for one clear friction point. Maybe it’s a reporting process that takes too long, a targeting gap, or a workflow inefficiency. Start there. Test on a small scale, measure the impact honestly, and refine before expanding. Discipline in execution matters just as much as ambition.
Also, don’t treat compliance and data governance as boxes to tick later. Build them in from day one. And involve your teams early. People are far more open to AI when they understand how it helps them and where the boundaries are.
AI shouldn’t feel like a disruption for the sake of it. When implemented thoughtfully, it becomes a way to bring more clarity and precision into your business — not replace the human judgment that drives it.
Where can our readers follow you to learn more about leveraging A.I. in the business world?
Readers who would like to explore how AI is reshaping healthcare marketing can follow Doceree’s official LinkedIn page, where we regularly share insights on responsible AI adoption, industry developments, and regulatory evolution. I also contribute perspectives and updates through the Doceree blog, where I write about AI infrastructure, contextual engagement, and the broader shift toward intelligent, compliant ecosystems in healthcare. Those platforms offer a deeper look at how AI can be implemented thoughtfully and sustainably within complex industries.
Thank you for sharing these insights!
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.
Kamya Elawadhi Of Doceree: How We Leveraged AI To Take Our Company To The Next Level was originally published in Authority Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story.