Komo as a Service · KaaS

Govern the work.
Build what scales.

Enterprise technology and program executive focused on turning technically complex, high-pressure work into governable delivery systems.

Current focus

Enterprise technology delivery shaped by PMO maturity and applied AI.

Operating model

Delivery reality comes first. I apply analytical depth across the project-through-portfolio layer to turn complex conditions into executable decisions.

Selected impact

Execution you can measure.

Results from environments where delivery was under pressure and the operating model no longer scaled.

~90%

Recurring reporting automation through a custom AI-assisted program intelligence architecture.

0 → ~90%

Process automation achieved in roughly two months for a recurring AI-assisted operational workflow.

230+

Applications and infrastructure components supported through enterprise technology migration.

102 → 10

Unresolved program issues reduced while protecting delivery cadence and PMO data quality.

What I do

Operate above the task list.

My technical background lets me work credibly with engineering and highly technical teams. My current value is making complex delivery governable and scalable.

Program & Portfolio Leadership

Restore control by surfacing material dependencies and aligning execution to leadership decisions.

PMO & Governance Maturity

Strengthen operating discipline so complex work does not depend on recurring heroics.

Enterprise Architecture

Bridge program leadership with real infrastructure constraints across enterprise environments.

Applied AI

Build human-controlled systems that reduce manual work while preserving accountability and decision authority.

About

Technical enough to understand it. Senior enough to govern it.

I lead complex enterprise technology delivery in regulated environments where infrastructure risk and execution pressure collide.

My career has progressed from hands-on technical work into executive-level program and portfolio leadership.

I am often brought into work that is already under pressure. My role is to restore delivery viability by identifying the constraints that actually matter and establishing governance that keeps execution under control.

I also build applied AI systems around real operating problems. The objective is practical: reduce manual effort while improving decision quality and traceability.

I have led direct-report teams of 6–20 people across operational and technical-program environments, with accountability for performance and execution. I have also coached delivery professionals on stronger governance and more consistent execution.

Contact

Start with the problem.

If the work is technically complex or difficult to govern, that is usually where I am most useful.