Twenty years of making complex operations legible enough to govern.
Patrick Munduga founded Rockhouse Consulting after two decades spent moving between engineering, institutional program leadership, and management consulting — a path that keeps landing on the same question: who actually gets to decide, and what are they deciding with.
Engineering first
Patrick trained as a civil engineer in Uganda, then spent five years directing public infrastructure investment — portfolios exceeding $24M and more than 260 delivered projects. That early work, done under donor-audit accountability standards, is where the instinct for governance and measurable delivery started.
From there he led a regional infrastructure and livelihoods portfolio across East and Central Africa, then founded and ran an institutional program-advisory practice for eight years — serving as consortium lead across five major funders (USAID, the U.S. Department of State, the U.S. Department of Defense, the EU, and the ILO) on more than $20M in donor-funded programs, building a coalition of 40+ partner organizations around shared governance and KPIs.
Into enterprise transformation
Patrick completed a Sloan Fellow MBA at MIT, concentrating in strategy, operations, and analytics — then moved into management consulting, leading operational-excellence and performance-transformation engagements across manufacturing, transportation, and consumer products for clients including a 39-plant global automotive manufacturer and a metropolitan transit authority.
Most recently, he completed MIT Sloan Executive Education's agentic AI program and led an Action Learning Lab capstone designing a full implementation and governance strategy for a precision-aerospace manufacturer — the case study that now anchors Rockhouse's approach to AI-enabled decision systems.
Why Rockhouse
A rockhouse is built from what's already solid — load-bearing, not decorative. That's the position Rockhouse Consulting takes on AI in the enterprise: it doesn't replace the operating discipline that already works, it gets built on top of it. The firms that get value from AI initiatives aren't the ones with the most advanced models — they're the ones whose decision rights, data, and governance were solid enough to hold the weight.
Credentials
Education
MIT Sloan School of Management — Sloan Fellow MBA, Strategy, Operations & Analytics
ESAMI Business School — MBA, Business Administration
Makerere University — BSc, Civil Engineering
Certifications
MIT Sloan — Implementing Agentic AI
Balanced Scorecard Professional
Master Data Analyst (10Alytics)
Leading Transformational Change
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