Enterprise transformation / Process intelligence / AI-enabled operations
Making complex work visible, human, and ready to improve.
His work sits at the intersection of AI, process intelligence, and human capability. He is strongest where organizations are dealing with complexity, misalignment, or invisible friction and need someone who can make the work visible, engage the right people, and turn that into better execution and measurable value.
Public positioning
Enterprise Transformation Leader | Process Intelligence, Process Excellence & AI-Enabled Operations
Michael Trombley has spent 27 years helping leaders and organizations realize the art of the possible by making change human, responsible, and real. For nearly three decades at Northrop Grumman, Michael's work has evolved from software engineering and mission assurance into enterprise transformation leadership spanning Lean Six Sigma, continuous improvement, process intelligence, automation, governance, and AI-enabled operations.
The work
Transformation is not real until decisions and behavior change.
Michael brings traditional operational-excellence discipline together with process intelligence, automation, governance, and AI-enabled operations. The point is not a better dashboard. It is a stronger operating system.
Read the professional profileBuilt an enterprise Process Intelligence Center of Excellence and developed 12 citizen value engineers.
Reduced employee corrective-action response times by 30%+ by finding workflow friction and deploying automation and AI directly into the work.
Led Northrop Grumman's first multi-sector CMMI Level 5 appraisal across 24 programs and multiple divisions.
Created governance and operating rhythms that connect executive ambition to evidence, adoption, and measurable execution.
Summit topic
The Value Trap: Rethinking Value Delivery in the Age of AI
A practical argument for smart manufacturing leaders: AI should not simply move metrics faster. It should make the organization, the work, and the people stronger.
"Is our definition of value big enough?"
Explore the topic