Alpha’s intelligence platform consists of exactly three scores. Each answers a distinct question that drives board-level decisions.
Three scores
| Score | Full name | Question answered | Applied to | Scale |
|---|
| AGR | Alpha Governance Rating | How well does this company govern AI? | AI/tech companies (supply side) | AAA to D |
| GMI | Governance Materiality Index | How exposed is this company to AI governance risk? | AI deployers/buyers (demand side) | 1-100 |
| AGIQ | Alpha Governance Intelligence Quotient | How prepared is this person to govern AI? | Individual directors and executives | 0-200 |
Why three and not more
The discipline of three is a strategic decision, not a limitation.
- S&P does not have six different credit rating products for the same company. Legibility matters.
- Three scores can be explained in one board meeting. Six scores requires a workshop.
- Every additional score dilutes the signal. Boards need clarity, not complexity.
How the scores connect
The three scores create a complete picture:
- AGR tells you whether a company’s governance is adequate for its AI footprint
- GMI tells you whether a company’s AI exposure requires governance attention in the first place
- AGIQ tells you whether the people responsible for governance are equipped for the task
A board Risk Committee evaluating an AI vendor uses AGR. The same committee assessing their own company’s exposure uses GMI. The Nominating/Governance Committee evaluating board composition uses AGIQ.
The Alpha Boardroom AI Index (ABI) is an intelligence layer that feeds all three scores, not a fourth score. It synthesizes AI model benchmarks through a governance lens to inform Governance Debt calculations (AGR), vendor exposure analysis (GMI), and assessment items (AGIQ).
