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With a centralized GenAI governance framework, the airline now benefits from secure, compliant, and standardized AI adoption. 

This client is a leading U.S. passenger airline with a significant global presence, operating an extensive network of domestic and international flights that connect hundreds of cities worldwide. 

Challenge

A major Airline needed a centralized GenAI Governance Framework to ensure secure, compliant, and standardized AI adoption across multiple Lines of Business. This shared service was required to mitigate risks, streamline oversight, and enable efficient AI deployment. 

Solution

Orion developed a GenAI Governance Framework by identifying and integrating best-in-class governance tools, both commercial and open-source, while addressing gaps with custom-built solutions. Prioritizing Microsoft Azure-based services, Orion built a runtime governance platform for an integrated single pane of glass view into underlying governance controls.

Impact

  • Regulatory Compliance: Ensured adherence to policies, ethics, and transparency guidelines.
  • Risk & Security Controls: Established governance, access, and data security measures.
  • Standardization: Developed best practices, production standards, and a Model Registry.
  • Bias & Explainability: Implemented processes for bias detection and model transparency.
  • Monitoring & Auditing: Enabled performance tracking, compliance reporting, and cost oversight.

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FAQs

Your questions,
answered.

A GenAI governance framework is a structured approach for managing how generative AI is developed, deployed, and monitored across an organization. It typically defines policies, security controls, compliance requirements, model oversight, and governance processes to help organizations use AI responsibly while reducing operational and regulatory risks. 

AI governance helps organizations use AI in a secure, compliant, and consistent way. For large enterprises with multiple business units, it establishes common standards for data protection, model oversight, regulatory compliance, and risk management while supporting responsible AI adoption across the organization. 

A centralized AI governance platform brings governance policies, security controls, model monitoring, and compliance processes into a single management layer. It provides a unified view of AI activities, helping teams oversee models, enforce standards, monitor performance, and simplify governance across multiple business functions. 

AI governance improves regulatory compliance, strengthens security, reduces operational risk, and promotes consistent AI practices. It also supports better model transparency, standardized deployment processes, and ongoing monitoring, making it easier for organizations to scale AI while maintaining accountability. 

Organizations should establish AI governance before scaling generative AI across multiple teams or business units. Early governance helps define policies, security requirements, approval processes, and monitoring practices before AI applications become widely adopted, reducing future compliance and operational challenges. 

AI governance reduces risks by defining access controls, data protection measures, model review processes, and compliance requirements. Continuous monitoring and governance policies help organizations detect issues early, protect sensitive information, and demonstrate compliance with internal policies and external regulations. 

Model transparency and bias detection help organizations understand how AI systems make decisions and identify potential fairness issues. These practices improve trust, support regulatory compliance, and help ensure AI models produce reliable and explainable outcomes, especially in regulated industries. 

A responsible AI governance framework helps airlines deploy AI securely while maintaining consistent governance across business functions. It supports regulatory compliance, protects sensitive operational and customer data, improves oversight of AI models, and enables standardized AI adoption as new use cases are introduced. 

Answer