AI Services

I served as Value Creation Lead and AI Deployment Strategist at Beamery, a venture-backed AI startup, where I pioneered a first-to-market Task Intelligence product that identified 30% AI augmentation potential across enterprise functions and generated 10x contract expansion with clients in financial services, life sciences, and manufacturing. I now lead Global Customer Strategy at Workday, where AI-driven product strategy sits at the center of how we plan customer deployments. I coach professionals targeting AI strategy and AI-adjacent customer strategy roles. My angle is practical: how these roles actually get filled, what hiring managers want in non-technical AI hires, and how to position a non-traditional background as a strength.

With over two decades of experience in strategic growth and innovation, I specialize in leveraging AI to transform businesses. As the Incubator Director at the University of Southern California, I founded a highly-competitive startup accelerator, guiding over 250 companies across diverse industries like AI, SaaS, and healthtech to raise $350M+ and achieve significant market success. My role as a founder of multiple accelerator programs, including Hong Kong’s first funded startup accelerator, has equipped me with the skills to help businesses understand and improve their unit economics and market entry strategies. I also bring a wealth of knowledge from my time as a Senior Management Consultant at BearingPoint, where I advised Fortune 100 companies on tech strategy.

I co-wrote the curriculum for Leland's AI Builder Program (500+ reviews) and coach professionals, 1:1 and in cohorts, through automating their business operations with AI: vibe coding, portfolios, org workflows, data analytics, agentic layers, and cloud-hosted orchestration. Info systems background from BYU, with hands-on experience across frontend, backend, data, and hosting.

I'm uniquely positioned to help businesses navigate AI adoption because I've spent the past two years researching exactly how organizations fail—and succeed—at integrating these tools. In my research on technology adoption patterns, I've analyzed case studies of companies implementing AI systems, interviewed teams about their actual workflows with language models, and documented the gap between how leaders think AI will be used versus how employees actually use it day-to-day. One pattern I've observed repeatedly: organizations that rush to deploy AI without understanding their team's existing decision-making processes end up with expensive tools that sit unused. The successful implementations I've studied all share something in common—they started by mapping human workflows first, then identified specific friction points where AI could genuinely help. As a Claude Campus Ambassador at Anthropic, I work directly with users across different industries to understand their adoption challenges. I've seen a finance team struggle to trust AI-generated analysis until they built verification protocols. I've watched a marketing agency transform their content workflow by strategically integrating AI at three specific touchpoints—not everywhere. These real-world observations inform how I coach: I help you identify where AI creates genuine value versus where it's just noise. My background as Research Manager at the Columbia AI Alignment Club also means I bring a critical perspective on AI safety and responsible deployment—essential for businesses that want to move fast without creating risk. And my experience as a UX Researcher taught me how to translate what I observe in user behavior into concrete strategic recommendations that non-technical stakeholders can actually act on. What makes my coaching different: I don't sell AI hype. I help you figure out where in your operations AI makes sense, how to get your team actually using it, and what pitfalls to avoid based on patterns I've seen across dozens of real implementations. Let's discuss what AI adoption could actually look like for your business—grounded in evidence, not buzzwords.

I bring 14+ years at IBM Consulting leading AI strategy and transformation programs for Fortune 50 organizations, with direct ownership of the business case, architecture, governance, team leadership, and production rollout. I have led a 38-person GenAI Factory, deployed agentic AI platforms to 70,000+ users, built multi-agent orchestration systems using CrewAI, LangChain, and MCP patterns, designed AI governance frameworks, and authored transformation plans that secured C-suite buy-in for enterprise adoption. I hold 2 US Patents in AI/ML, an MS in Analytics from Georgia Tech, an MBA, and executive education from MIT Sloan. My technical depth spans the leading enterprise AI model platforms, including OpenAI, Anthropic Claude, Google Gemini, Llama, Mixtral, and Granite, along with RAG and agentic architectures, orchestration patterns using Langflow, LangChain, CrewAI, and MCP, and enterprise platforms such as ServiceNow, watsonx.ai, Dialogflow CX, and Workday. What I coach is the strategic layer above the tools: how to identify the right AI use cases, build a defensible business case, design an AI operating model, manage governance and evaluation, and avoid the adoption failures that derail most enterprise AI programs. Whether you're a consultant breaking into AI strategy, a product leader navigating your first enterprise GenAI implementation, or an executive building an AI Center of Excellence — I've done the work you're preparing for, at the scale you're targeting, with the outcomes to prove it.

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 like working with people to solve complex challenges. For many organizations, that means making AI practical, efficient, and aligned with real business goals. I earned my Bachelor of Science from Stanford University in Science, Technology, and Society, focusing on Innovation and Organization, which shaped how I see AI as both a cultural and organizational challenge. At Fabletics, I learned the business inside and out before becoming AI Program Director, where I now lead company-wide adoption efforts. Previously at Yardzen, I led sales and customer strategy as the company scaled and launched its premium service, one of its most comprehensive offerings still active today. I’m driven by curiosity, collaboration, and the challenge of turning ideas into systems that move organizations forward.

I’m the founder an AI consulting and implementation firm that helps businesses identify where AI can create real value and then builds the systems to make it happen. I work directly with business owners and teams to diagnose operational problems and turn the right opportunities into working agents, automations, applications, and integrated workflows. I’ve built and shipped AI systems across a variety of industries: • A vision AI tool that reduced quote times aerospace maintenance and repair • Automated sales and marketing outreach that's generated a millions in revenue pipeline • Lead intake, qualification, and responder agents in real estate, healthcare, and home services • System-wide agentic systems that span CRM, Project Management, and accounting • Model training for a music education technology startup I’ve also helped teams evaluate models, prototype new AI products, and turn ideas that started on a whiteboard into systems running in production. My perspective is also shaped by 15 years of helping organizations adopt new processes and technology. That’s why I tend to start with how the business actually works rather than with an AI tool. The technology matters, but the real test is whether the solution improves the business and whether the people doing the work actually use it.

I created an AI Strategy at Royal Bank of Canada to go from 0 to 6500 users in 1 year and transformed the developer landscape. I now teach businesses and professionals implement a sustainable AI strategy in their companies.

I help leaders and teams move from AI experimentation to real organizational transformation. Over the last several years, I’ve worked at the intersection of product leadership, enterprise transformation, and applied AI. Most recently, I’ve been leading product and transformation work on a large-scale Agentic AI initiative at a large Agritech Enterprise, helping design and operationalize an AI-powered employee support platform that integrates across IT, HR, procurement, finance, and enterprise systems. My work goes beyond implementing AI features. I help organizations rethink workflows, service delivery, operating models, and employee experiences in a world where AI agents become digital collaborators. This includes defining AI strategy, identifying high-value use cases, designing human-in-the-loop systems, improving adoption, aligning stakeholders, and translating complex technical concepts into practical business outcomes. Before this, I spent ~15 years in product leadership across startups and enterprise environments, including serving as Chief Product Officer at multiple companies and founding a VC-backed AI startup. I’ve worked hands-on with AI product strategy, conversational UX, workflow automation, retrieval systems, agentic architectures, and enterprise integrations long before AI became mainstream. What clients typically value most about working with me is the combination of: * Deep technical and product understanding * Executive-level strategic thinking * Strong facilitation and communication skills * Practical experience implementing AI inside complex organizations * A highly human-centered approach to transformation and change management I work particularly well with founders, product leaders, innovation teams, and enterprise executives trying to navigate questions like: * Where should we apply AI in our organization? * How do we move from pilots to production? * How should AI change our workflows and operating model? * How do we design AI experiences people actually trust and adopt? * What does “agentic AI” realistically mean for our business? * How do we balance speed, risk, governance, and transformation? My coaching style is practical, strategic, collaborative, and grounded in real implementation experience rather than hype.