Practical AI
Within my operational leadership work, I help teams adopt AI and modern tools in practical ways. From Copilot and ChatGPT to Atlassian, the focus is on reducing friction, improving insight, and supporting how teams already work.
AI doesn’t create value on its own. Without the right structure, priorities, and adoption strategy, most investments stall at experimentation. I help leadership teams turn AI from isolated tools into systems that improve execution, decision-making, and scale.
How I Approach AI Enablement
I focus on integrating AI into the way work already happens—processes, decision-making, and team workflows—so it reduces friction instead of adding complexity.
In practice, that often means working inside the tools teams already use—such as Microsoft Copilot across Teams, SharePoint, Word, Excel, and PowerPoint; Copilot Studio for custom agents; OpenAI’s ChatGPT; and platforms like Atlassian’s Rovo—so AI becomes part of everyday operations rather than a separate experiment.
That means aligning leadership on where AI actually creates leverage, building adoption into real workflows, and helping teams use these tools in ways that improve execution, not just experimentation.
What This Looks Like
That might mean designing an AI strategy tied to your operating model, embedding Microsoft Copilot into Teams, SharePoint, and core productivity workflows, using Copilot Studio to build practical internal agents, applying ChatGPT for research and knowledge work, or helping teams adopt platforms like Atlassian Rovo in ways that actually improve how work gets done.
Jesse has a rare ability to translate complex ideas—particularly around AI and automation—into practical, measurable improvements for both individuals and organizations. His strategic insight is matched by a hands-on operational mindset; he not only defines the right direction but also builds the systems, processes, and momentum to get there. - Meredth Perkins, Senior Engagement Director at BlueModus
Platforms I Work In
Most of my AI work happens inside Microsoft 365—Teams, SharePoint, Word, Excel, PowerPoint, Copilot, and Copilot Studio—alongside OpenAI’s ChatGPT, Anthropic’s Claude, and Google’s Gemini for research, writing, and decision support. I also work within Atlassian’s ecosystem, including Rovo, to bring AI into product, engineering, and service workflows. The platform matters less than adoption, but meeting teams inside the tools they already use is how AI becomes operational instead of experimental.
The result isn’t just better technology—it’s faster execution, clearer ownership, better decisions, and teams that can scale with AI instead of being disrupted by it.
We’ll look at how your team actually works and where AI could make a practical difference.