Most organizations know they are using AI.
Few know whether they are governing it effectively.
An AI Trust Assessment™ is a structured evaluation of an organization's AI governance maturity. It helps leaders understand where AI exists, what risks it creates, how well it is governed, and what should happen next.
What Does It Measure?
The assessment evaluates multiple domains of enterprise AI trust, including governance, security, privacy, compliance, data stewardship, vendor risk, monitoring, accountability, and responsible AI.
Each domain contains weighted indicators with prompts for documented evidence. Responses and evidence drive the AI Trust Score™ and maturity classification.
The evaluation is not a checklist exercise. It is a structured inquiry into whether the organization's AI practices are documented, accountable, and defensible.
What Does the Customer Receive?
AI Trust Score™ — a measurable view of governance maturity across all evaluated domains.
Executive Briefing™ — a concise leadership summary designed for decision-makers who need the full picture without the operational detail.
Board Summary™ — board-ready oversight material that frames AI posture in governance language directors already understand.
Risk Register™ — prioritized AI risks with severity, likelihood, and recommended mitigations.
Compliance Gap Analysis™ — a clear view of current versus desired control state, mapped to relevant regulatory and industry frameworks.
Remediation Roadmap™ — practical next steps with accountable owners, timelines, and resource estimates.
All deliverables are available as branded PDFs and shareable, expiring secure links.
Every deliverable is built for boardroom use. No raw checklists, no jargon-only outputs — just defensible evidence and clear next steps.
Who Is It For?
Executive Leadership — CEOs and senior executives who own the AI operating mandate and need a defensible baseline for governance decisions.
Boards of Directors — directors who oversee AI risk with the same rigor applied to cybersecurity, financial reporting, and enterprise risk.
CIOs and CISOs — technology and security leaders who need visibility into AI systems, vendors, and data flows.
Privacy Officers — privacy leaders responsible for ensuring AI practices meet regulatory and contractual obligations.
Compliance Teams — compliance professionals who need structured evidence to demonstrate control effectiveness to auditors and regulators.
Risk Managers — risk professionals who need a prioritized, evidence-based view of AI-related exposures.
“Most organizations know they are using AI. Few know whether they are governing it effectively.”
Why Organizations Use It
The assessment transforms uncertainty into a practical governance roadmap.
Rather than asking 'Are we doing AI governance correctly?' leaders gain a structured understanding of current maturity, highest priorities, and future investments.
Organizations use the assessment as a baseline before scaling AI. As a periodic re-baseline tied to board cycles. As evidence in procurement, audit, insurance, and regulatory engagements. As the input to a remediation roadmap that prioritizes scarce capacity.
Most organizations complete their first assessment in under two weeks when the right stakeholders and evidence are available.
The Next Step
Organizations that understand their AI posture make better decisions.
The Clariantix AI Trust Assessment™ provides the visibility needed to build trustworthy, transparent, and accountable AI systems.
Good AI governance does not slow innovation. It creates the confidence to innovate responsibly.
- An AI Trust Assessment™ evaluates governance maturity across multiple domains of enterprise AI trust.
- Deliverables include AI Trust Score™, Executive Briefing™, Board Summary™, Risk Register™, Compliance Gap Analysis™, and Remediation Roadmap™.
- Designed for executive leadership, boards, CIOs, CISOs, privacy officers, compliance teams, and risk managers.
- The assessment transforms uncertainty into a practical, prioritized governance roadmap.