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The AI for Organizations package is designed for leaders and teams who want to harness artificial intelligence to improve operations, decision-making, and overall performance. Whether you’re just starting to explore AI use cases or are ready to implement automation at scale, this package provides practical, tailored guidance to help your organization move with clarity and confidence. Key components of this package can include, but aren’t limited to: • Assess your current processes, systems, and data readiness for AI adoption. • Identify high-impact use cases across functions such as marketing, customer success, operations, or product development. • Build an AI adoption roadmap that balances quick wins with long-term strategy. • Learn how to evaluate and select the right AI tools, vendors, or platforms for your needs. • Establish best practices for data governance, change management, and team enablement. • Explore real-world examples of successful AI adoption in similar industries. • Create alignment across leadership and staff to ensure adoption and sustainability.
AI Readiness Assessment – A clear evaluation of your organization’s current systems, data, and processes
AI Opportunity Map – Prioritized use cases with projected ROI and feasibility analysis
AI Adoption Roadmap – A step-by-step plan for piloting, implementing, and scaling AI initiatives
Tool & Vendor Evaluation Guide – Criteria and recommendations for selecting the right AI solutions
Change Management Playbook – Frameworks for team training, stakeholder buy-in, and long-term adoption
Schedule a call with a Leland team member who can help you explore your options.
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Get help with AI Readiness Assessment, AI Strategy, and .
Matthew also coaches for AI Productivity & Tooling, AI & ML Engineering, and Data Science. View all.

Joined June 2023
AI for Business | Stanford, ex-Meta
As a 2x founder, I've seen the benefits of AI in my own business journey and I'm excited to help you figure out how to apply AI in your business. I’ve built state-of-the-art AI systems in real-world settings—from agent models for a boutique investing firm to the first AI mental health coach with functioning long-term memory. Alongside this work, I’ve taught and facilitated AI courses at Stanford, helping students master machine learning and generative models. My focus is on turning advanced research into practical, working products and coaching others to do the same.
5h+ of coaching