AI Strategy & Transformation

I’m an AI Product Manager at Asana with a background spanning edtech startups and leading product initiatives at big tech companies. Today, I focus on building and scaling GenAI products, with deep expertise in AI agents and automation. My work is highly hands-on, from designing AI agent workflows to evaluating and deploying AI tools and apply the right AI solutions to improve efficiency, scalability, and decision-making. If you’re looking to operationalize AI, making money by AI and unlock more time for strategic priorities, I’d be happy to connect.

I bring over 20 years of experience at the intersection of technology / AI, strategy, and leadership to my coaching practice. Having led businesses and teams through massive growth and industry shifts, I’ve seen firsthand how artificial intelligence (AI) is transforming careers, leadership, and business strategy. Today, I help leaders and organizations harness AI not just as a tool, but as a catalyst for personal growth, team performance, and organizational success. I built my executive career by leveraging diverse experiences spanning engineering, consulting, product marketing, and product management to differentiate myself and stand out in a competitive field. Now, I help businesses do the same, blending practical leadership experience with AI-driven insights to take advantage of the AI wave. As VP of Product Management at Bill.com, I helped grow company revenue by over 10x to nearly $1B ARR. My leadership roles at companies like Intuit, LinkedIn, and PayPal gave me deep expertise in B2B SaaS, fintech, and scaling teams and products, all while staying ahead of emerging technology trends like AI. Whether you're thinking how to scale your business using AI OR preparing your team for an AI-powered future, I’ll partner with you to unlock your full potential and thrive in a rapidly evolving world of work.

I've been advising on AI strategy and policy since 2018, using it to augment my own workflows well before most organizations were paying attention - and I've been building, deploying, and advising on it across organizations of every size ever since. The through-line in all of it has been the same: the technology is rarely the hard part. Strategy, prioritization, and change management are. At Deloitte, I directed a $5M national AI workforce development initiative and advised a major federal department on AI strategy, presenting directly to C-suite government officials. That work gave me a ground-level understanding of how large, complex organizations actually adopt AI: the politics, the procurement hurdles, the gap between what's possible and what actually gets used. At Stanford's Accelerator for Learning, I worked with OpenAI, Anthropic, Google for Education, and Khan Academy to advance responsible GenAI implementation for K12 and higher education, coordinating across engineering, design, and business teams to translate LLM capabilities into tools people would genuinely use. I also helped organize an annual conference convening 300+ edtech leaders evaluating AI tools in the real world. As a founder, I've lived the scrappy version too - and I want to be upfront about something that I think actually makes me more useful as a coach: I'm a non-technical founder. I built and scaled my first startup from zero to users across 80+ countries entirely with no-code tools. I know firsthand what's possible without a single line of code, and I'm actively going deeper - expanding my fluency in GenAI, agentic AI, no-code automation, and synthetic AI to stay at the edge of what non-technical builders can do. What we can actually build together - every engagement ends with something tangible, not a slide deck. Depending on your context, that might include: 🗺️ An AI prioritization framework: a clear methodology for evaluating which AI use cases are worth pursuing in your specific organization, with scoring criteria your team can apply independently. 📋 A stakeholder-ready adoption roadmap: a phased implementation plan that accounts for your procurement constraints, change management realities, and institutional politics. Built to actually get approved. 🏗️ A working no-code AI prototype: if you're a founder or operator, we'll build a real system together. Not a demo, but something you can use and iterate on after our sessions end. 🧠 A team AI fluency playbook: a structured onboarding approach so your team isn't dependent on one AI champion. Built for the people you actually have, not an ideal workforce. I'm especially helpful to: 🎯 Org leaders evaluating which AI tools to adopt and how to build real internal buy-in, not just a pilot that dies in Q2 🏗️ Non-technical founders and operators who want to build AI-native workflows without hiring a dev team 🤖 Leaders ready to explore GenAI, agentic AI, and no-code automation but not sure where their highest-leverage entry point is 🏛️ Leaders in education, government, nonprofits, and workforce development navigating responsible AI implementation with institutional stakeholders 📋 Teams that have experimented with AI tools but haven't achieved meaningful, lasting workflow change 🌍 Professionals working across large institutional ecosystems (districts, agencies, foundations) who need an AI strategy that can actually get approved and deployed

Most leaders know AI is reshaping how work gets done. Fewer know how to position themselves and their teams to lead confidently in that shift. My coaching helps leaders build practical AI fluency: how to use AI to communicate more effectively, make faster decisions, scale their thinking, and lead without getting lost in the technology. What makes this different: I don't just coach it, I've built it. The Zaradigm AI Practice Lab (zaradigm.com/ai-practice-lab) gives leaders AI-powered tools to practice real leadership scenarios between coaching sessions. This AI solution is built on actual methodology, not generic prompts. I've also automated business workflows, built AI-driven content and communication systems, and helped leaders integrate AI into how they operate and show up. If you want a thought partner who has done the work and can help you do the same, this is the right coaching.

I'm Kristen, a future Stanford GSB MBA student and co-founder of a digital wellness movement. With a background in Strategy & Operations at Leland and experience as an Associate Consultant Intern at Bain & Company, I bring a wealth of knowledge in AI strategy and transformation. My journey includes roles in product management and business development, equipping me with the skills to help you navigate the complexities of AI integration in your organization. Let's work together to transform your business with cutting-edge AI strategies. Reach out to start your journey towards innovation and success!

Hey! I’m Michael, a Forbes 30 Under 30 founder and operator with experience building and scaling businesses at meaningful scale. I’m the Co-Founder and CEO of Famous Media Group, which includes AsianFeed, a digital media brand reaching over 25 million people monthly, as well as multiple consumer brands. My work has included partnerships with organizations like Netflix, Disney, the White House, and the U.S. State Department, and has been recognized by Forbes 30 Under 30 and Fast Company’s World Changing Ideas. As the business scaled, I had to transform my own organization to become AI-forward in order to stay competitive. That meant moving beyond experimentation and into real adoption. I’ve led the process of defining AI strategy tied to business outcomes, redesigning workflows, introducing AI tools across teams, and driving internal adoption in a way that actually improved speed, efficiency, and decision-making. The focus has always been practical impact, not hype or abstract innovation. I work with founders, operators, and business leaders who know AI is no longer optional but are unsure how to approach it strategically. Some are trying to identify where AI can create real leverage. Others are struggling with adoption, change management, or translating tools into measurable results. My approach is execution-driven and grounded in lived experience, focusing on how to integrate AI into existing operations in a way that sticks. If you’re looking to build a clear AI strategy and drive real adoption across your organization, I’d love to help you think through what makes sense for your business and how to move forward with confidence.

With over 30 years of experience in the data industry—13 of those focused on data science—I’ve had an incredible journey through roles like Data Scientist, Senior Data Scientist, Head of Data Science, and now Chief AI and Data Officer. Along the way, I’ve overseen major data initiatives, built high-performing teams, and developed a deep understanding of what it takes to succeed in this field. For the past 15 years, I’ve been passionate about coaching in data science and artificial intelligence. I’ve helped professionals land their first internships, secure their dream jobs, and grow into leadership roles. I’ve reviewed thousands of resumes, interviewed hundreds of candidates, and learned exactly what stands out in a competitive market. What I truly enjoy is helping data scientists and managers take that next big step in their careers. Whether you’re just starting out or looking to climb higher, I’m here to guide you, share practical advice, and help you unlock your potential in the ever-evolving world of data science. Let's connect and see how I can help you!

I have designed and implemented bespoke AI automation solutions for businesses ranging from sole proprietors to Disney and Goldman Sachs. I started my career doing applied AI research at a NYC VC firm, studying how LLMs could solve real business challenges. I even launched a startup, raised a seed round, and hired a CEO. I then moved into strategy consulting at LEK Consulting, working across a wide breadth of challenges— cost reduction for equipment manufacturers, sales expansion for cybersecurity software, new product launches for SMBs, marketing strategy for consumer services companies, and everything in between. Since then, I've worked in Product and Operations at two different AI companies, backed by investors like Y Combinator and Insight Partners, building agentic systems to automate processes for companies of all sizes.

I've worked a ton with using AI to bridge the gap of UXR + competitive analysis.

As a former VP of Product, I was part of executive conversations where we were actively scoping ML and LLM solutions, and there were moments where the direction felt wrong for society, not just for the business. I was the person in those rooms who said: before we go further, we need an ethicist and a social scientist at this table. That instinct, to pause and ask who this affects and how, shapes everything I bring to AI strategy work. But this conversation doesn't belong only in the boardroom. Whether you're a product manager scoping a feature, a team lead adopting new tools, an individual contributor being asked to work alongside AI, or a leader setting direction, you deserve to develop the muscle for asking the hard questions. The capacity to sit with the philosophical and even existential weight of what we're building, who it serves, who it sidelines, and what we lose when we stop asking. I coach people across the entire AI ecosystem by helping them get oriented, decide when to trust human judgment over automation, and find or build environments where humans aren't an afterthought. I've built and deployed my own AI tools, facilitate conversations on human intelligence vs. AI in the workplace, and am conducting original research on how AI is reshaping expertise and credibility. If you want to engage with AI more intentionally and with more integrity, this is the work I do.