How I Create Value
I work with investors and portfolio executives in moments that require execution ownership, operating discipline, and results. Engagements are hands-on, time-bound, and aligned to the investment thesis.
Operating Partner & Interim Leadership
I embed directly with portfolio companies when leadership bandwidth, operating cadence, or execution discipline is missing. This includes interim COO-style roles, execution ownership for critical initiatives, and hands-on leadership during periods of transition.
Typical situations:
Early post-close stabilization
Leadership gaps during scale or transition
Execution ownership for priority initiatives
Post-Merger Integration & Carve-Out Execution
I lead integrations and carve-outs from Day 1 through steady state, aligning teams, systems, and operating models to the deal thesis. The focus is speed, clarity, and minimizing execution risk while value is captured.
Scope typically includes:
Operating model alignment
Cross-functional execution cadence
Governance, metrics, and accountability
Operational Scale & Governance
As companies grow, execution breaks without structure. I help portfolio companies build repeatable operating models, management cadence, and performance metrics that support scale without adding unnecessary complexity.
This work often includes:
Defining operating rhythms and KPIs
Clarifying ownership across functions
Establishing leadership and board-level reporting
Product, GTM, and Value-Creation Execution
I support execution across product and go-to-market functions when growth stalls or delivery risk increases. This is not advisory; it is execution leadership focused on improving throughput, decision quality, and time-to-impact.
Use cases include:
Product roadmap execution
GTM alignment and delivery performance
Cross-functional dependency management
AI and Automation as Value Levers
When appropriate, I help portfolio companies deploy AI and automation to reduce operational friction and improve execution efficiency. The focus is practical application, not experimentation.
Typical applications:
Intelligent automation
Document and data workflows
Decision-support tooling
This is always tied to measurable operational outcomes.