The Prompt Report

In this episode of Prompt Report, Dave Humphreys speaks with Toya Green (Copilot Product Owner) about guiding Microsoft Copilot adoption and continuous improvement across the university. Toya Green discusses joining the rollout team and helping connect people, processes, and technology to create a sustainable foundation for AI adoption. The conversation explores the Copilot Collective, the importance of safe experimentation, and why practical support is critical to building AI confidence. Looking ahead, Toya Green shares a vision for AI that fits naturally into everyday work, solves meaningful challenges, and gives employees more time to focus on students and other human-centered priorities. 

Key Topics

• The role of the Copilot Product Owner in adoption, governance, enablement, and organizational change
• How the Copilot Collective helps colleagues learn, experiment, and share effective practices
• Moving teams from basic Copilot use toward high-value agents and intelligent workflows
• Building sustainable partnerships among employees, technical teams, the AI team, and Microsoft

Top Takeaways

• Successful AI adoption depends on people having relevant examples, ongoing support, and a safe environment for experimentation.
• Strong communities of practice help employees learn from one another and develop creative solutions grounded in real work.
• Governance, security, infrastructure, and user needs must evolve together for Copilot to deliver lasting value.
• Success means focusing less on individual AI features and more on the problems employees solve and the mission-driven work they can prioritize

In this episode of How I AI, host Dave Humphreys (Senior Direction of AI Integration) talks with Phil Nazzaro, (VP of Talent Capability and Learning), about using AI as a thought partner in both professional and personal life. Phil explains how AI can help people explore ideas, solve problems, and access personalized guidance while they work, rather than requiring them to step away for traditional training. They also discuss AI’s potential to reshape work, reduce routine tasks, and create more space for creativity, critical thinking, and meaningful human contributions. Throughout the conversation, Phil emphasizes that AI should enable human thinking, not replace it, and that continued learning will be essential as the technology evolves. 

Key Topics

• Using AI as a thought partner rather than an automatic answer generator 
• Delivering personalized learning within the flow of work
• Preserving creativity, critical thinking, and productive “cognitive friction” 
• Learning how to use AI effectively as tools and capabilities continue to evolve 

Top Takeaways

• The strongest results come from combining AI’s broad knowledge with human judgment, context, and critical thinking. 
• AI can make learning more immediate and personalized by guiding people through challenges as they perform the work. 
• People should avoid outsourcing the difficult thinking that supports growth, creativity, and skill development.
• AI is likely to transform how work is performed, while making distinctly human skills even more valuable.

In this episode of How I AI, Peg Aubin (AI Integration Specialist), talks with Kyle Skov (Senior Director of Platform Operations) about how AI helps him focus on the parts of work and life that matter most. From managing emails, meetings, and follow-up tasks to simplifying family meal planning, Kyle shares how he uses AI to reduce routine work and reclaim time. He also discusses the importance of building trust with AI through small experiments, understanding its limitations, and always verifying outputs. 

Key Topics

• Using AI to automate routine tasks such as scheduling, email management, meeting notes, and follow-up communications. 
• Applying AI in everyday life for meal planning, family organization, and creative idea generation. 
• Building confidence with AI by starting small and gradually expanding workflows through experimentation. 
• Understanding AI limitations, avoiding overreliance, and validating information before using it. 

Top Takeaways

• AI can help reduce mental load and administrative work, creating more time for meaningful and rewarding tasks.
• Successful AI adoption starts with familiar, low-risk use cases and grows through trust and experimentation. 
• Treat AI like a capable but inexperienced teammate: leverage its strengths while reviewing its work carefully. 
• Curiosity is key. Exploring AI through personal interests and hobbies can build confidence and uncover valuable new use cases.

In this episode of How I AI, host Dave talks with Jon Kamyck, Executive Director of Academic Strategy Management, about how his team has embraced AI to improve workflows, analyze business processes, support brainstorming, and increase efficiency. Jon shares why successful AI adoption starts with mindset, not technology, and explains how fostering curiosity, experimentation, and psychological safety helped his team integrate AI into their daily work. The conversation also explores the importance of keeping human judgment at the center of AI-enabled processes and viewing AI as a tool that amplifies, rather than replaces, human potential. 

Key Topics

• Building an AI-first mindset through curiosity, experimentation, and entrepreneurship. 
• Using AI for process improvement, scenario analysis, brainstorming, and content creation.
• Creating safe spaces for teams to test, learn, and iterate with AI tools.
• Identifying where human judgment, accountability, and decision-making remain essential.

Top Takeaways

• Mindset is often the most important factor in successful AI adoption.
• Leaders can accelerate AI adoption by encouraging experimentation and learning from mistakes. 
• AI is most effective as an enabler of human potential, not a replacement for people. 
• Developing "pathfinding" skills, curiosity, initiative, and creativity helps teams uncover new ways of working with AI.

Host Dave Humphreys is joined by Sue Nathan (Chief Experience Officer), Jenn Magoon (Assistant VP of Business and Technology Enablement), and Rick Choate (Assistant VP of Customer Insights and Influence) to discuss MODEL (Modern Optimized Digital Engagement for Learners), a transformative initiative aimed at redesigning the learner experience at SNHU. 

Key Topics

• What MODEL is and the vision behind the initiative 
• Creating a learner-centered experience and expanding self-service options 
• How AI can help staff better support learners and simplify processes 
• Improving learner communications through more coordinated and personalized outreach 
• Current MODEL projects, including mySNHU improvements and future planning efforts 

Top Takeaways

• MODEL is an experience initiative first, with technology serving as an enabler.
• AI can reduce routine work and create more time for meaningful learner support. 
• Better data, shared definitions, and consistent processes are essential for long-term success.
• Small, incremental improvements can deliver value while larger transformation work continues.

In this quick-hit episode, host Dave sits down with Peter Bartell, Employer Relations Partner III on the Career Services team at Southern New Hampshire University (SNHU), to talk about how he uses Microsoft Copilot and AI tools in his day-to-day work.

In the inaugural episode of How I AI, host David sits down with Matt Thornton, Vice President of Customer Experience at SNHU, to explore how AI has woven itself into both his personal and professional life.

Host Dave is joined by Brian Curtis (CIO), Irene McCarty (Sr. Director of Technology Innovation), Susan Geiger (Sr. Business Planning Analyst), and Megan Bickford (AI Operations Specialist) to discuss Southern New Hampshire University's Microsoft Copilot rollout to 5,000 staff members.

Key Topics

• Framing the rollout as an AI literacy opportunity, not a problem to solve
• A people-centric, change management approach to driving adoption
• Why meaningful adoption takes 8–12 weeks — and how to set expectations accordingly
• Early wins: meeting transcription, document summaries, and SharePoint/OneDrive search
• The Cody role — volunteer AI champions who support peers and bridge the rollout team
• How success metrics evolved from raw usage to excitement, peer sharing, and proactive use

Top Takeaways

• AI literacy takes time — give people room to experiment and fail
• Don't over-prescribe; let people discover what works for their role
• Peer-to-peer influence is one of the strongest drivers of adoption
• Stay curious, challenge the tool beyond the basics, and ask: What am I missing by not using AI here?

In this episode of The Prompt Report, host Dave Humphreys sits down with Mike Weinstein, Director of Sustainability at SNHU, to explore the environmental impact of AI. They discuss how AI data centers are driving a surge in electricity demand — with the Department of Energy estimating usage could reach over 10% of U.S. electricity by 2028 — and the associated water consumption from cooling processes. Mike breaks down the concept of Scope 1, 2, and 3 emissions, explains what SNHU is doing through partnerships like Sustainable IT and transparent ESG reporting, and shares how the university is using AI itself to improve campus energy management. The conversation wraps up with practical tips for everyday users, including prompt minimalism, mindful device usage, and staying informed about clean energy policy — emphasizing that the real power lies in collective, data-driven action.

In the inaugural episode of AI Now Signals & Sensemaking, Chief AI Officer George Siemens and VP of AI Rob MasAuslin lead an open, candid conversation about the week's biggest developments in artificial intelligence. The discussion covers the ethical tensions between Anthropic and the Department of Defense, whether we're in an AI investment bubble, and the rapid coalescence of AI capabilities transforming knowledge work. The team also dives into pressing safety concerns — including models detecting when they're being evaluated — and the societal readiness gap as AI reshapes careers and workflows.