TISAIG

Services

AI Governance Assessments

Structured evaluations to measure and improve your AI governance program

TISAIG assessments provide a structured, evidence-based evaluation of your organization's AI governance posture. Each assessment produces a clear picture of where you are, where gaps exist, and what to do next.

Evaluation Services

Available Assessments

AI Governance Readiness Assessment

A baseline evaluation of your organization's readiness to implement a formal AI governance program.

What you receive

Readiness scorecard, gap summary, prioritized recommendations, and a governance roadmap.

Governance Maturity Assessment

An evaluation of your governance program's maturity across all governance domains — from policy to operational controls.

What you receive

Maturity level by domain, benchmark comparison, improvement roadmap.

AI Inventory Assessment

A comprehensive inventory of all AI systems in use across your organization, with governance classification.

What you receive

Complete AI system inventory, risk classification, governance priority matrix.

AI Risk Assessment

A structured evaluation of governance risk by AI system, context, and organizational impact.

What you receive

Risk register, risk ratings by system, mitigation recommendations.

Policy Gap Assessment

An evaluation of gaps between your current AI policies and the requirements of applicable standards and regulations.

What you receive

Policy gap matrix, regulatory alignment analysis, remediation priorities.

Outcome Assurance Evaluation

An evaluation of your organization's ability to monitor, verify, and document AI system outcomes.

What you receive

Outcome assurance scorecard, monitoring gap analysis, evidence framework recommendations.

Sample Reports

Sample assessment reports are available upon request. Contact our team to receive a sample report for any assessment.

Contact us to request a sample

Get Started

Know where you stand before regulators ask

TISAIG assessments are designed for organizations that need a clear, defensible picture of their AI governance posture — not a checkbox exercise.