Organizations with real stakes.

Ecommerce, retail, CPG, hospitality, professional services, and membership and lifecycle-driven businesses. Organizations large enough that an AI mistake is expensive, and small enough that the leadership team can still fit in one room and decide.

Bring us the question your leadership team keeps deferring. You get a decision, a roadmap, and the rules to run it.

Typical buyer: CEO, COO, CMO, Chief Customer Officer.

Public bodies that need a defensible position before they deploy, not after. Procurement rules, privacy obligations, and public accountability are the starting conditions, not the afterthought.

Bring us the policy gap. You get a governance and ethics framework that survives a council meeting and a freedom of information request.

Typical buyer: Executive sponsor plus policy lead, CAO, General Counsel.

Institutions building AI policy, governance, and ethics frameworks that have to survive a faculty senate, a student body, and a regulator. Consultation matters as much as the document.

Bring us the senate debate. You get a defensible framework, mapped to your values, that faculty and administration can both sign.

Typical buyer: Provost's office, faculty senate committees, CIO.

Where the question is never whether AI is interesting, it is whether the control environment can hold. We write the guardrails first so the roadmap has somewhere safe to run.

Bring us the risk register. You get guardrails a regulator will recognize and a strategy the board will fund.

Typical buyer: General Counsel, Chief Risk Officer, CAIO.