AI Model Governance
Effective AI doesn’t end at deployment—ongoing governance is essential for AI models to remain reliable, relevant, and compliant.
Avaly.ai’s AI Model Governance service guides clients in managing AI models post-deployment, from addressing model drift to maintaining documentation for transparency. We provide structured strategies for AI lifecycle management, helping organizations keep models aligned with business goals and regulatory requirements.
Approximately 27% of Fortune 500 companies have cited AI regulation as a risk in recent SEC filings, reflecting growing apprehensions about compliance costs and potential liabilities.
Industry compliance costs for AI regulations in the European Union are projected to range between €1.6 billion and €3.3 billion by 2025, with individual model compliance averaging approximately €29,000. These figures highlight the growing financial burden of regulatory adherence in AI development and deployment.
What We Offer
Post-Deployment Management
We support clients in monitoring and updating AI models, addressing challenges like model drift, re-validation, and retraining to ensure ongoing effectiveness.
Lifecycle Strategy Development
Avaly.ai designs comprehensive lifecycle management strategies, keeping AI models accurate and aligned with evolving business objectives.
Governance and Documentation
We advise on best practices for audit, documentation, and accountability, promoting transparency and establishing trust in AI model management.
Key Benefits
Enhanced Model Reliability
Ensures AI models retain their accuracy and effectiveness, reducing the risks associated with outdated or degraded model performance.
Structured Compliance
Facilitates adherence to both internal and external governance requirements, adding accountability throughout the AI model lifecycle.
Greater Transparency and Control
Increases visibility into AI model operations, supporting better decision-making and risk management.