OpenAI models have revolutionized the way organizations approach artificial intelligence, with applications ranging from advanced language processing to complex decision-making. However, integrating these models in business processes, while ensuring monitoring, governance, and compliance with regulations, remains a significant challenge.
Deeploy simplifies this process, making it easy to onboard, monitor, and govern OpenAI models while ensuring compliance, transparency, and control at every step.
Onboard OpenAI models with ease
Whether you’re working with GPT, Codex, or another OpenAI model, Deeploy makes onboarding simple. Our flexible setup works with different API structures, endpoints, and configurations, ensuring everything fits seamlessly with your model’s specific needs.
Setting up your OpenAI models requires just two things: a model endpoint and authentication credentials. For detailed guidance, check out our documentation.
Improve monitoring and governance
Keeping AI systems safe and effective starts with strong oversight. When you connect your OpenAI models to Deeploy, you gain a clear, high-level view of all key details and performance metrics. Plus, with real-time tracking and alerts, you can quickly spot and address potential issues like model drift before they become problems.
Ensure transparency & compliance with regulations
With regulations like the EU AI Act coming into play, compliance is no longer optional. Organizations need to keep their AI systems within legal boundaries while staying transparent and accountable.
Deeploy simplifies this by keeping a clear audit trail of all model predictions, giving you full accountability and transparency into how your models make decisions.
Deeploy also helps you stay organized by centralizing all your key documentation in one place. From model cards and data cards to compliance checklists, everything you need is easily accessible and ready for review.
Frequently asked questions
Does OpenAI provide governance or compliance tooling out of the box?
No. OpenAI provides powerful models like GPT-4 via API but does not offer native features for governance, monitoring, or compliance. This makes it difficult for teams to track how models are used, log decisions, or meet regulatory requirements. Deeploy fills this gap—adding oversight and auditability without changing how you use OpenAI’s APIs.
Can I log and inspect OpenAI model predictions in Deeploy?
Yes. Deeploy logs both the inputs sent to and the responses generated by OpenAI models, allowing for full traceability. You can review, search, and export these logs to support audits, investigations, or compliance checks.
How does this help with AI compliance (e.g., EU AI Act, ISO 42001)?
Deeploy tracks model usage, performance, ownership, and documentation, all in one place. It supports control frameworks, audit logs, human-in-the-loop decisions, and alerting, all key capabilities for demonstrating compliance with key AI regulations such as the EU AI Act.
Do I need to change how my OpenAI models are deployed or served?
Not at all. With external deployments, your OpenAI models stay hosted and served by OpenAI. Deeploy simply wraps governance, monitoring, and logging around the existing API interaction. For access to explainability features or tighter lifecycle control, you can migrate models to fully managed deployments on Deeploy.
