Customer Success Stories™
Explore illustrative examples of how organizations use the Clariantix AI Trust Assessment™ to identify governance gaps, strengthen oversight, improve compliance readiness, and build AI Trust™.
Northstar Energy Corporation
Northstar Energy Corporation had rapidly expanded its use of artificial intelligence across operations, customer service, and infrastructure monitoring. While leadership recognized the benefits of AI adoption, they lacked visibility into the organization's overall governance posture. The organization engaged Clariantix to conduct an Enterprise AI Trust Assessment™.
Meridian Financial Group
Meridian Financial Group was expanding AI use across lending operations, fraud detection, and customer service automation. Executives wanted assurance that governance controls could support continued growth. The organization engaged Clariantix to evaluate its AI governance maturity.
Provincial Health Network
Provincial Health Network was evaluating AI technologies across clinical operations, administrative services, and patient support functions. Leadership wanted to ensure innovation remained aligned with patient trust, privacy expectations, and governance requirements. Clariantix conducted an Enterprise AI Trust Assessment™.
ISO/IEC 42001 is the first international management-system standard for artificial intelligence. It defines requirements for establishing, implementing, maintaining, and continually improving an AI management system (AIMS), with certifiable controls across governance, risk, lifecycle, and operations.
The NIST AI Risk Management Framework is a voluntary, widely adopted framework for managing risks across the AI lifecycle. It is organized around four functions — Govern, Map, Measure, Manage — and is paired with the Generative AI Profile for foundation-model risks.
SOC 2 is an attestation standard governed by the AICPA covering controls relevant to security, availability, processing integrity, confidentiality, and privacy. SOC 2 reports are issued by independent auditors and are a baseline expectation for B2B SaaS and AI vendors.