A structured, human-centered approach to AI governance.

Alignora's method is built on a simple premise: responsible AI adoption requires a balance of technical rigor and human accountability. Our governance framework guides organizations through a complete lifecycle—from identifying AI systems in use, to classifying their risk, assessing readiness, and planning for workforce impact.

1. Inventory

Every governance program begins with knowing what you have. Alignora helps organizations catalog every AI system—whether developed in-house or procured from a vendor—capturing ownership, purpose, data usage, and deployment status so nothing falls through the cracks.

2. Classify

Not all AI systems carry the same risk. Our risk classification engine evaluates factors like decision-making autonomy, data sensitivity, and impact on people to assign a risk level—Minimal, Moderate, High, or Critical—that determines which controls and reviews apply.

3. Assess

Structured assessments walk teams through the controls relevant to each system's risk level. Answers map to clear category scores, mandatory-control checks, and actionable findings—turning abstract compliance requirements into concrete, trackable work.

4. Review & Approve

Independent reviewers and executive approvers collaborate within the platform, with evidence, test results, and findings all in one place. Approvals carry written attestations and, where appropriate, conditions and expiration dates.

5. Sustain

Governance doesn't end at approval. Alignora tracks model changes, incidents, reassessment dates, and workforce readiness over time—ensuring organizations stay current as their AI systems and the surrounding regulations evolve.