AI · Technology · Transformation
I work at the intersection of AI, enterprise technology, integration and transformation—bringing technical depth and program leadership together to turn emerging capabilities into practical solutions.
Artificial intelligence becomes especially interesting when it moves beyond experimentation and begins working with real systems, real data, real processes and real business problems.
My career has evolved alongside enterprise technology—from infrastructure, e-commerce and EDI to application development, virtualization, SaaS, cloud transformation, automation and data.
Today, my focus increasingly centers on artificial intelligence: how AI can integrate with the systems, information and processes organizations already depend on—and how that potential can become practical, secure and valuable solutions.
The technology is new. Many of the problems it can solve aren't.
Systems · Networks · Infrastructure · Security
EDI · E-commerce · Supply Chain · Integrations
Applications · SharePoint · Workflows · Automation
Virtualization · SaaS · Enterprise Platforms · Modernization
Cloud · Azure · AWS · Microsoft 365 · Platform Migrations
Programs · Products · Teams · Enterprise Transformation
AI · Agents · Automation · Intelligent Solutions
Different technologies. The same underlying work: connecting systems, solving problems, managing change and turning capability into value.
A career-altering event led me to establish my own technology consulting company. It was a deliberate decision, but that didn't make it an easy one. Stepping away from the familiar was scary and uncertain.
What I did understand was the opportunity: consulting could expose me to different organizations, technologies, challenges and ways of working far faster than staying in one environment.
Looking back, the path makes more sense than it probably did while I was living it.
Today, I work across AI, enterprise technology, integration and transformation— bringing technical depth and program leadership together to move emerging capabilities from possibility to practical application.
What are we trying to accomplish? Why AI? What does success look like?
What systems, processes, people and technologies are involved? What already exists, and what constraints matter?
What information is required? Where does it live? Is it accessible, reliable, current and appropriately governed?
What should AI actually do? Where does it create meaningful value—and where doesn't it?
How should AI interact with the data, applications, workflows and people around it?
Build, test, secure, measure, learn and refine.
Leading and coordinating AI integration initiatives that bring together data platforms, enterprise architecture, engineering and business requirements—helping move emerging capabilities toward practical enterprise use.
Leading complex modernization initiatives across cloud, infrastructure, applications and enterprise platforms—coordinating migrations, integrations and organizational change while keeping business continuity and delivery at the center.
A modular workspace platform designed to bring information from multiple systems into configurable, purpose-built interfaces—combining integration, visualization and AI-assisted intelligence in one environment.
That's where interesting work begins. Whether it's applying AI to an enterprise challenge, connecting technologies in a new way, or turning an idea into something real, I'm always interested in exploring what's possible.