I help CIOs, CTOs, and VP Engineering teams adopt AI with the governance and delivery discipline needed for real enterprise use.
40 years in enterprise delivery. 150+ person programs. 25+ FTE efficiency gains. Executive-level operating credibility.
Most organizations do not need more AI enthusiasm. They need senior technical leadership that can connect executive priorities to architecture, governance, and delivery without losing control of the operating model. That is the work I do, drawing on four decades of enterprise delivery leadership and current hands-on platform execution.
I help leadership teams move from AI experimentation to governed execution.
How structured delivery leadership reduced risk and accelerated execution across a 150+ person program for a national insurance enterprise.
A national insurance enterprise running complex delivery programs across onshore and offshore teams faced compounding execution risk: inconsistent governance, fragmented oversight, and delivery patterns that could not scale without introducing defects and delays. Leadership needed a senior operator who could impose structure without slowing the work down.
Rod embedded as a senior delivery leader, establishing governance frameworks, review cadences, and architecture boundaries across 150+ team members. The work included centralizing portfolio management, defining clear accountability for delivery decisions, and building operating controls that leadership could trust at executive review. A centralized data management platform replaced fragmented tooling, giving teams a single source of truth for project health and risk.
The program delivered measurable enterprise outcomes: 25+ FTE in operational efficiency, a 70% reduction in defects, and a 65% improvement in time-to-market. The operating model helped secure a $250M managed services engagement and improved PMO satisfaction scores by 80%.
This is the same governance-first operating methodology Rod now applies to AI adoption. The tools have changed. The discipline has not. Whether the delivery challenge is 150 people or 15 agents, the operating model must hold up under executive scrutiny.
My advisory work is backed by real systems, not just recommendations.
TrusteeHub is a private-hosted coordination platform built around secure workflow, auditable updates, and real operational use.
AgentFlow is a governance-aware platform for AI-assisted software delivery with approvals, artifacts, and traceable execution.
Together, they reflect the same operating philosophy: AI adoption only becomes credible when governance works in practice.
I also publish on my tech blog at tech.owlcottage.org, where I share implementation notes, architecture thinking, and practical lessons from building and governing AI-enabled systems.
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