Sample Alpha rating profile
This illustrative legacy v2.4 profile shows the structure of an Alpha rating opinion: Alpha AIGR, Alpha GMI materiality context, outlook, rationale, evidence basis, summary rollup, surveillance triggers, and limits. It is sample content only, not a current rating on a real issuer and not a Version 1 rating.
Rating action
Meridian Energy Holdings
Sample issuer · Utilities · Not a current opinion
Assessed rating, full AAA to D scale. Public scores are capped at BB+ pending direct engagement.
Action
Upgrade from BBB to A
Opinion
A
Composite (0-100)
79.4 / 100
Materiality
High Alpha GMI due to critical-workflow AI dependency
Next review
Scheduled surveillance plus trigger monitoring
Rationale: the sample issuer demonstrates defined board oversight, approved AI accountability, and improving disclosure discipline. The rating is constrained by incomplete third-party agent coverage, uneven post-deployment drift testing, and an overdue incident-response tabletop exercise. The Alpha GMI context indicates that these governance controls are material because AI is embedded in critical operating workflows.
Alpha Integrity Screen: no rating ceilings applied.
Evidence
Four evidence channels support the opinion.
Every Alpha rating file separates source evidence from judgment. Gaps are recorded explicitly, not smoothed over.
Panel A
Disclosure record
As of May 15, 2026
Annual report, proxy statement, AI policy disclosures, standards references, and regulator correspondence.
Panel B
Operating evidence
As of May 15, 2026
Board minutes, committee packs, model registry, agent inventory, control logs, and incident playbooks.
Panel C
Management engagement
As of May 15, 2026
Structured interviews with risk, legal, technology, security, audit, and business owners.
Panel D
External corroboration
As of May 15, 2026
Peer context, litigation scan, public incident record, enforcement watch, and standards activity.
Legacy summary
This sample preserves the historical v2.4 rollup.
The seven fields below are included only to make the illustrative legacy file internally consistent. They are not the six canonical pillars in Alpha Standard Version 1 and must not be converted into Version 1 scores.
Board oversight
Committee charter expanded; quarterly AI risk review in place.
88
Composite / 100
Strategy and accountability
Named executive owner and enterprise AI policy approved.
84
Composite / 100
Model and agent inventory
Core AI systems inventoried; third-party agent coverage remains incomplete.
79
Composite / 100
AI safety and robustness
Pre-deployment testing is strong; post-deployment drift testing is uneven.
76
Composite / 100
Incident readiness
Incident playbooks exist; the response tabletop exercise is overdue.
72
Composite / 100
Transparency and disclosure
Public disclosures align to material risks and current standards.
81
Composite / 100
Continuous monitoring
Monitoring cadence is documented, with evidence refresh still moving toward continuous operation.
74
Composite / 100
Rating movement
What would move the rating.
Upgrade scenario
- Completed third-party agent inventory with contractual audit rights
- Two consecutive quarters of post-deployment drift testing across material models
- Executed incident-response tabletop with documented remediation
Downgrade scenario
- Material AI incident with delayed board notification
- Loss of named executive owner without succession
- Disclosure restatement related to AI risk
Surveillance
Ratings move when evidence moves.
A stable outlook does not mean passive coverage. Trigger events can start a fresh review between scheduled cycles.
- Material AI incident or regulator inquiry
- New autonomous-agent deployment in a critical workflow
- Board or executive accountability change
- Disclosure restatement, litigation, or enforcement action
- Verified remediation of open high-severity findings
Limits of opinion