The standard for AI governance
Alpha Governance Group, PBC is an independent AI governance ratings and intelligence firm.
We turn evidence about how AI is governed into decision-grade insight and signals that support continuous governance of the agentic enterprise for boards and executives, and inform investors, insurers, and policymakers on its risks and controls.
Illustrative AI governance profile
Three integrated pillars
Alpha Institute, Alpha Ratings, and Alpha Intelligence turn governance evidence into decision-grade signals for boards, executives, investors, insurers, and policymakers.
Alpha Institute
The Alpha Institute for AI Governance produces independent research and policy guidance, delivers board and executive education, convenes the Alpha Council, and defines practical standards for effective oversight.
Alpha Ratings
Alpha Ratings provides independent evaluations of AI governance maturity and risk through transparent, board-grade methodologies. The Alpha Standard, Alpha AIGR, and Alpha GMI turn complex governance into comparable signals.
Alpha Intelligence
Alpha Intelligence structures disclosures, board actions, policies, regulatory developments, system registers, incidents, and outcomes against recognized standards. It powers Alpha Terminal, APIs, and MCP integrations.
Alpha Intelligence
Board-level AI governance intelligence, delivered as a live operating record rather than another report to file.
Request Terminal accessA current view of governance quality, materiality, evidence, trajectory, and watch status.
02Material disclosures, incidents, control changes, and regulatory signals routed for review.
03Governed institutional reasoning over Alpha intelligence, with sources and explicit limits.
04Board-ready evidence trails that connect a signal to accountable ownership and action.
05Machine-readable intelligence for institutional workflows, applications, and Alpha Agents.
Who uses Alpha
Alpha makes governance quality legible across the institutions that oversee, operate, allocate capital to, insure, and supervise AI-enabled enterprises.
Methodology and independence
Alpha separates evidence, analytical judgment, rating governance, and delivery. The result is an opinion that can be examined, challenged, updated, and used with clear limits.
The Alpha AIGR Methodology v2.4 states the analytical basis, rating scale, evidence expectations, and limits of opinion.
Evidence is classified by source quality and recency, with a visible boundary between public and assessed information.
Customer-visible ratings require documented human approval. Analytical judgment is never presented as an automated fact.
Material disclosures, incidents, control changes, and observed outcomes can trigger review outside a fixed calendar.
The analytical framework maps governance findings to NIST AI RMF, ISO/IEC 42001, and applicable regulatory obligations.
Ratings are independent opinions, not guarantees, certifications of compliance, or investment advice.
Research and BoardBrief
Current research, analysis, and field intelligence on the governance questions reaching boards, investors, insurers, and public institutions.
Read BoardBriefAI security is an enterprise risk. Boards must pair innovation with clear accountability, resilience, continuous oversight, and stakeholder trust.
A statement from over 1000 employees of frontier AI companies
Source: The Wall Street Journal
Anthropic CEO Dario Amodei on open-weights models
Alpha Institute events
Alpha convenes directors, operators, investors, insurers, policy leaders, and builders to examine the governance questions that cannot be resolved through disclosure alone.