Methodology
Instrument Methodology
Methodology Version 1.0 (Initial Release — 2026)
How the Stratify™ AI Capital Risk Instrument produces capital authorization determinations.
The Stratify™ Capital Exposure Evaluation Model is the deterministic framework used by the Stratify™ AI Capital Risk Instrument to generate the AI Capital Risk Index (ACRI) and capital authorization posture.
Section 1
Evaluation Model
The Stratify™ AI Capital Risk Instrument applies the Stratify™ Capital Exposure Evaluation Model to evaluate structural exposure associated with AI capital deployment.
The model evaluates organizational readiness for AI capital deployment by examining structural exposure conditions that may constrain investment authorization.
The evaluation focuses on five structural vectors that influence AI capital risk.
These vectors represent common sources of capital exposure when organizations deploy AI systems across operational environments.
Section 2
Deterministic Evaluation
The instrument applies a deterministic rule-based evaluation model.
Capital authorization posture is derived from:
- vector exposure conditions
- defined gating thresholds
- cross-vector constraints
The instrument does not rely on advisory scoring, opinion-based interpretation, or generative analysis.
Authorization posture is produced through structured evaluation of documented exposure conditions.
The purpose of the deterministic model is to provide boards and executive teams with a repeatable and defensible framework for evaluating AI capital deployment decisions.
Stage 1
Organizational Inputs
Structured diagnostic inputs describing governance structures, regulatory exposure, data governance practices, operational deployment context, and capital allocation discipline.
Stage 2
Exposure Vector Evaluation
- Regulatory Exposure
- Governance Oversight
- Data Reliability
- Operational Deployment Capability
- Capital Discipline
Stage 3
Stratify™ Capital Exposure Evaluation Model
Deterministic evaluation of exposure conditions, gating thresholds, and cross-vector constraints. Rule-based logic with no subjective advisory scoring.
Stage 4
AI Capital Risk Determination
- AI Capital Risk Index (ACRI)
- Capital Authorization Posture
- Pause
- Controlled Investment
- Authorize Deployment
Stratify™ Capital Exposure Evaluation Model — deterministic evaluation pipeline used to generate AI capital authorization determinations.
Section 3
Exposure Vectors
The Stratify™ Capital Exposure Evaluation Model evaluates exposure across five structural vectors.
Vector 1 — Regulatory Exposure
Evaluates potential regulatory obligations associated with AI deployment, including classification exposure under frameworks such as the EU AI Act.
Vector 2 — Governance Oversight
Evaluates whether clear executive ownership, governance structures, and board visibility exist for AI deployment.
Vector 3 — Data Reliability
Evaluates the governance, traceability, and reliability of datasets used by AI systems.
Vector 4 — Operational Deployment Capability
Evaluates the organization’s ability to deploy, monitor, and govern AI systems across operational environments.
Vector 5 — Capital Discipline
Evaluates whether AI investments are governed through structured capital allocation processes.
Section 4
Authorization Posture Determination
Pause
Capital deployment should not proceed until material exposure conditions are remediated.
Controlled Investment
AI deployment may proceed within defined operational guardrails while constraining exposure conditions are addressed.
Authorize Deployment
Exposure conditions support broader AI capital deployment under established governance controls.
Authorization posture reflects the structural readiness of the organization to deploy AI capital rather than the performance of the AI system itself.
Section 5
Evaluation Outputs
The evaluation produces a structured set of outputs including:
- AI Capital Risk Index (ACRI)
- Capital authorization posture
- Vector exposure diagnostics
- Rule-based stabilization pathway
- Board-ready AI Capital Risk Report
The resulting report is designed for board-level consumption and provides a clear basis for evaluating AI capital authorization decisions.
Section 6
Evaluation Timeline
The Stratify evaluation is typically completed within approximately 14 days.
The process includes structured diagnostic evaluation, exposure synthesis, and production of the AI Capital Risk Report.
The purpose of the defined timeline is to allow boards and executive teams to evaluate AI capital authorization decisions within a clear decision window.
Version Note
Version 1.0 represents the first public release of the Stratify™ AI Capital Risk Instrument methodology. Future revisions will reflect regulatory evolution, AI deployment patterns, and empirical observations from AI capital authorization decisions.
Research & Framework Development
The Stratify AI Capital Risk Instrument was developed to evaluate structural exposure conditions associated with AI capital deployment.
The framework synthesizes governance, regulatory, operational, and capital allocation signals that commonly determine whether large-scale AI deployments succeed or fail.
Rather than evaluating individual models or vendor solutions, the instrument evaluates the organizational conditions required to support AI capital deployment at scale.
The Capital Risk Framework underlying the instrument evaluates five structural exposure dimensions:
- regulatory and compliance exposure
- structural governance and oversight
- data infrastructure reliability
- organizational execution capacity
- capital allocation discipline
The evaluation methodology is deterministic and version-controlled, allowing organizations to reproduce results and trace posture determinations to specific input conditions.
The current evaluation model is documented as Capital Risk Framework — Methodology Version 1.0.