Governing General Purpose AI

Deeploy enables organizations to govern general purpose AI models like ChatGPT and Mistral AI with built-in EU AI Act compliance, centralized oversight, and automated controls.

How To Govern General Purpose AI Models?

General purpose AI models like ChatGPT, Claude, and Mistral AI offer powerful capabilities but introduce significant governance challenges. Organizations struggle to maintain visibility over which models teams are using, implement proper controls, and ensure compliance with the EU AI Act. Deeploy provides the governance layer organizations need to deploy general purpose AI safely while meeting EU AI Act requirements.

The Challenges of Governing General Purpose AI

Lack of centralized visibility: Teams across organizations adopt different general purpose AI models without coordination, creating shadow AI that leadership cannot track or govern effectively.
Multiple provider management: Organizations integrate models from OpenAI, Anthropic, Mistral AI, and others, but lack unified governance across these diverse platforms and their different capabilities.
EU AI Act compliance complexity: Understanding which obligations apply to your specific use cases and implementing the required technical documentation, risk assessments, and human oversight mechanisms demands specialized expertise.

Key Requirements for General Purpose AI Under the EU AI Act

The EU AI Act establishes specific obligations for general purpose AI models. Model providers must supply technical documentation, transparency information, and copyright compliance policies. If your organization deploys these models for high-risk applications, you assume provider responsibilities for that specific use case.

Technical documentation requirements: Providers must document training processes, model capabilities, limitations, and evaluation results to enable downstream compliance.
Risk-based compliance approach: Your obligations scale with how you deploy the model, from minimal transparency requirements to full high-risk system controls depending on application.
Systemic risk considerations: Extremely capable general purpose models face additional requirements including model evaluations, risk mitigation measures, and incident reporting.

How Deeploy enables General Purpose AI Governance

Deeploy provides the governance infrastructure organizations need to deploy general purpose AI models safely and compliantly. Our platform integrates with leading providers including OpenAI, Mistral AI, Hugging Face, and other general purpose AI platforms, bringing all your models under one layer of governance.

Centralized model oversight: Track every general purpose AI model deployed across your organization in a single registry, maintaining visibility over which teams use which models for which purposes.
Automated EU AI Act controls: pply control frameworks specifically designed for EU AI Act compliance to your use cases, with automated checks ensuring models meet required standards.
Real-Time Performance Monitoring: Set alert thresholds for accuracy, drift, and operational metrics. Flag quality issues before they create compliance violations or impact users, maintaining the continuous monitoring required by regulations.
Risk-appropriate governance: Our use case-based approach automatically applies the right level of controls based on your specific application, from minimal transparency requirements to full high-risk system compliance.

Frequently Asked Questions

About Governing General Purpose AI

What makes general purpose AI different from other AI systems for governance purposes?

General purpose AI models can perform multiple tasks across varied contexts, meaning the same model might be low-risk in one application and high-risk in another. This requires governance systems that assess risk based on specific use cases rather than just the model itself. Deeploy’s use case framework enables precisely this approach.

Do I need different governance for ChatGPT, Claude, and Mistral AI models?

While these models have different capabilities, the EU AI Act applies consistent principles. Deeploy integrates with multiple general purpose AI providers, enabling unified governance regardless of which models you deploy.

When does my organization become a provider versus deployer of general purpose AI?

If you use a general purpose AI model for a high-risk application the provider didn’t intend, you become the provider for that use case under the EU AI Act. Deeploy helps you understand your role with our risk classification assessment and implements appropriate controls automatically.

Can Deeploy govern models we build ourselves alongside commercial general purpose AI?

Yes, Deeploy provides one layer of governance for both custom models and commercial general purpose AI. Our platform treats each use case appropriately regardless of whether you built the underlying model or licensed it from a provider.