I design governance architecture for institutions absorbing AI-scale change. I help cities, agencies, universities, and companies deploy ambitious programs—AI systems, automation, large capital initiatives—with accountability and transparency built in from the start, not documented after failure.
I also work on narrative intelligence: understanding how institutional narratives establish credibility, persist across decision-making frameworks, and shape what gets funded and governed. Narrative maintenance is as structural as capital deployment—and requires the same level of intentional design.
Three published books on execution, systems thinking, and communication design. A systems intelligence practice that maps how institutions actually operate. Documented work in governance reform. Evidence-based approach: every claim sourced, every recommendation operational.
Governance analysis is systems analysis applied to public institutions. The cities that win the AI age are the ones that can prove their systems work. I design that proof layer.
Core Positioning: I design governance architecture for institutions absorbing AI-scale change. My clients are cities, public agencies, universities, and companies deploying AI systems, automation, or large capital programs who need accountability, transparency, and cross-program coordination designed in before something breaks — not documented after it does.
Institutions are absorbing AI infrastructure faster than they can design, operate, and govern it. The accountability layer for that buildout does not exist yet. That's what I build.
Three published books translating systems thinking into operational practice. A proven methodology for mapping how complex institutions actually work. Documented results: governance analysis that produced implementable policy reform. Grounded, unflinching, evidence-based approach. No hype. Just structure.
As institutions absorb AI infrastructure and scale capital programs, narrative credibility shapes what gets built, funded, and governed. Narrative intelligence is the study of how narratives spread, establish authority, and drive institutional decisions—independent of whether underlying claims are verifiable.
Narratives don't spread through truth. They spread through citation density, corroboration networks, and apparent institutional backing. A narrative becomes credible when it's repeated, sourced, and embedded in decision-making frameworks—regardless of whether the foundational claims are provable.
This matters for governance because it means institutional credibility can persist even when accountability structures are absent. A $78 billion citation can remain in budgets and policy frameworks even if it breaks at the first link. The narrative architecture supersedes the verifiable facts.
Narrative intelligence platforms, analysis firms, and tracking services are built on the very mechanisms they analyze. They operate as vectors for narrative spread while claiming to measure or combat it. They amplify through citation density and corroboration networks—the same mechanisms that make narratives credible regardless of truth.
Understanding this contradiction is crucial for designing accountability systems. True governance architecture must account for how narratives establish themselves and how institutional leaders can design transparency systems that function independently of narrative credibility.
Fixed-price design sprints. You define the problem. I map it structurally, identify failure modes, and design the operating framework you need to fix it. Everything you deliver is yours to run independently.