AI product executive helping companies connect strategy, platforms, and enterprise adoption

ABOUT STEVEN KAWASUMI AI

Steven Kawasumi AI helps companies connect AI strategy to product roadmaps, platform execution, enterprise adoption, and measurable business outcomes. The work is led by Steven Kawasumi, an AI product executive with more than 15 years of experience building AI/ML strategy, product platforms, and global organizations across fintech, SaaS, consumer technology, and enterprise software.

Steven has led product, data science, engineering, and customer experience teams through large-scale AI transformation. His work spans generative AI, agentic AI, predictive machine learning, customer intelligence, expert-assisted service models, enterprise AI adoption, and reusable AI platform capabilities. He brings a practical executive perspective on where AI should become a product capability, a platform foundation, a service model, or a source of competitive advantage.

At Intuit, Steven led AI product and platform work across TurboTax, QuickBooks, Credit Karma, and Mailchimp, including Intuit Assist and the platform capabilities that supported enterprise AI adoption. His teams embedded generative AI, agentic AI, predictive analytics, expert augmentation, intent classification, customer context, and automation into customer-facing and expert-assisted experiences. This work helped create reusable AI capabilities across Intuit’s ecosystem, improved personalization and service efficiency, reduced contact rates, and contributed to more than $1B in incremental revenue and more than $500M in annual savings.

Steven’s Intuit work reflected the execution challenge of enterprise AI adoption, requiring alignment across AI roadmaps, product strategy, platform reuse, data governance, privacy requirements, measurement, and cross-functional execution across large product and business organizations. That experience continues to shape how Steven Kawasumi AI works with companies today.

Earlier in his career, Steven led the Data Science and Machine Learning Group for Motorola’s mobile services organization, where he built one of the company’s first large AI/ML organizations and helped shift the business from descriptive analytics toward predictive and prescriptive AI capabilities. His teams applied machine learning to device logs, customer data, survey data, service interactions, repair data, and behavioral signals to improve reliability analytics, fraud detection, lifecycle forecasting, customer experience, and support quality.

As Executive Director of Product Management and Business Development at Westmere Capital, Steven built an AI-focused product, consulting, and investment practice for portfolio companies and small to midsize businesses. He led work across product strategy, market evaluation, pricing, go-to-market planning, customer segmentation, product-market fit, investment diligence, and analytics-driven business decisions. That experience strengthened his ability to connect AI strategy with product execution, executive decision-making, and value creation.

Steven’s earlier work at NVIDIA and Transmeta added technical depth in semiconductor platforms, GPU and compute product execution, analytics-driven launch governance, IP commercialization, and machine-learning-based power optimization. He led cross-functional programs across engineering, manufacturing, quality, and business teams, giving him a systems-level view of how technical choices affect product readiness, customer value, commercialization, and business performance.

Steven Kawasumi AI works with leadership teams, investors, founders, and operators navigating the next stage of AI adoption. The focus is practical: where to invest, which AI capabilities to prioritize, how to connect strategy to product execution, and how to organize teams so AI becomes useful inside the business.

Steven also writes and speaks on generative AI, agentic AI, enterprise AI adoption, responsible deployment, and the leadership decisions required to make AI useful inside companies. His perspective has appeared in Forbes and Fast Company. He holds a B.S. in Electrical Engineering from Stanford University and an MBA from the University of Michigan.