Visionary leader delivering breakthrough innovations across start-ups and top-tier corporations.

ABOUT STEVE KAWASUMI

Steven Kawasumi is an accomplished product management executive, consultant, and AI thought leader who translates advanced machine intelligence into repeatable, production-grade business outcomes. With more than a decade and a half of experience building enterprise AI/ML strategy, products, and organizations across fintech, consumer tech, and SaaS, Steven blends technical fluency, product rigor, and executive-level strategic alignment to operationalize generative, agentic, and predictive AI responsibly at scale.

At Intuit, Steven has led global product, data science, and engineering initiatives within Intuit Assist and Platform Acceleration, partnering with senior leadership to align AI roadmaps with business priorities while embedding LLMs, generative and agentic assistants, and predictive analytics into core customer experiences across TurboTax, QuickBooks, Mailchimp, and Credit Karma. His teams have designed and deployed a durable, reusable AI/ML platform integrating conversational AI, intent classification, expert augmentation, and workflow automation into the Virtual Expert Platform, enabling seamless cross-product experiences, personalized guidance, and operational automation for both customers and advisors. These initiatives strengthened efficiency and customer outcomes while establishing governance, privacy, and bias-mitigation practices for enterprise AI adoption.

Steven has also guided large-scale AI transformations across industries. At Motorola, he led the Data Science & Machine Learning Group as Acting Director, building a global organization and unified ML operating model that transitioned the division from ad-hoc analytics to production-grade systems. He created standardized model development pipelines, feature stores, and MLOps practices that accelerated time-to-value for ML initiatives and enabled predictive reliability, fraud detection, and lifecycle analytics. The group’s work reduced escalations, improved product reliability, and informed preventive workflows, shifting the business toward proactive service and lower operating risk.

As Executive Director at Westmere Capital, Steven established an AI and product practice advising portfolio companies and SMB clients on AI-driven product strategies, go-to-market plans, and investment theses. He led multidisciplinary teams to deploy personalization, propensity modeling, dynamic pricing, and operational analytics that improved customer retention and commercial outcomes. He also directed technical due diligence and model-risk reviews for investments, helping boards and founders make data-driven funding and strategic decisions.

Earlier experience in hardware and manufacturing systems at NVIDIA and Transmeta sharpened Steven’s systems thinking and operational rigor. He led multi-site new product introduction programs and introduced ML-enabled quality and power optimization techniques that tied device engineering tradeoffs to manufacturability and cost. These experiences underpin his ability to bridge low-level technical constraints with product and business strategy.

Steven is a frequent speaker and writer on responsible AI adoption, agentic systems, and operational AI strategy, with publications in leading industry outlets. He holds a B.S. in Electrical Engineering from Stanford University and an MBA from the University of Michigan. Through his work with Steven Kawasumi AI, he advises executives, investors, and founders on translating AI capability into measurable business impact, helping organizations balance innovation, risk management, and scalable delivery to turn machine intelligence into enduring competitive advantage.