The next AI alignment challenge isn’t between machines and humans. It’s between institutions and the values they claim to uphold.

Artificial intelligence is accelerating decision-making inside institutions that were never designed to govern technologies of this scale.

Today, organizations make high-impact decisions about technology, labor, public policy, and social systems inside governance environments that are fragmented, contradictory, and difficult to audit. Even well-intentioned leaders drift when incentives conflict and decision processes are opaque.

History shows what happens next. After the Enron and WorldCom scandals, the Sarbanes–Oxley Act forced corporations to build systems that made financial accountability verifiable. Companies didn’t just promise integrity—they built infrastructure that records, verifies, and audits decisions.

AI governance may be approaching a similar moment.

The Institutional Coherence Initiative (ICI) explores how institutions can build the next layer of governance infrastructure: tools that translate ethical commitments and regulatory frameworks into operational decision systems.

Our work focuses on public governance architecture that can:

• flag high-risk AI uses
• trigger structured review
• record decision authority and reasoning
• make governance processes auditable and contestable

Much of the AI race is framed as a race for more compute and more data centers. But engineers working with large language models know that significant effort is spent reconciling contradictory instructions coming from the human systems that govern them.

AI systems often inherit the incoherence of the institutions that build them.

The institutions that succeed in the AI era will not only scale technology.
They will innovate coherent governance.

Institutional Coherence Initiative

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Institutional Coherence Initiative

Org chart

Teams

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