Integrated AI Systems
Integrate proprietary, third-party, or domain-specific AI models into any part of your commerce flow—without lock-in or compromising your data boundaries.
Enterprises already have AI investments and require commerce that connects to them instead of replacing current flows. Whether you’re running a proprietary recommendation model, a domain-specific search engine, or an external language model for content generation, Virto’s composable API-first architecture lets you plug any AI system into any layer of the commerce stack.
What Integrated AI Systems Mean for Your Architecture
Virto's integration layer is model-agnostic by design. You configure which AI models run at which layer, what data they access, and how results are validated before they affect commerce operations. Data boundary controls are built in, needed for regulated industries and data sovereignty requirements where AI models cannot access or process data outside permitted boundaries.
Integration points span the full commerce stack:
- Discovery and search
- Content generation
- Product categorization
- Recommendations
- Operational workflows
Each integration point is independently configurable: connecting a domain-specific search model doesn't require changes to how recommendations or content generation are handled.
B2B Use Case
A global industrial manufacturer:
- Runs a proprietary AI model trained on its product catalog and engineering specifications.
- Integrated AI Systems lets them plug that model directly into Virto's search and recommendations layer.
- Buyers get results powered by their own domain expertise, instead of a generic algorithm.
Key Capabilities of Integrated AI Systems
- Model-agnostic architecture: Connect any AI model at any layer (OpenAI, Azure AI, custom-built models, or proprietary systems) without restructuring the platform.
- Configurable data boundaries: Determine what data each AI model can access and process. Each integration point is independently configurable, so connecting one AI system doesn't affect the data access rules of another.
- API-first integration: All commerce functionality is exposed via API, making it straightforward to connect external AI systems to any part of the commerce stack.
- Composable by design: AI capabilities don’t replace your stack, but add to it, allowing you to swap, extend, or add AI systems at any layer without a platform rebuild.
- Validated outputs: Configure how AI results are validated before they affect commerce operations—needed in enterprise environments where AI outputs must meet compliance and accuracy standards.
Business Impact Integrated AI Systems
- Faster access to AI value: Teams don't wait for a platform vendor to build the AI capability they need but connect the model that fits the use case and deploy it without a platform rebuild or lengthy integration.
- Protect existing AI investments: Organizations that have already invested in proprietary models, fine-tuned systems, or preferred AI providers don't have to abandon them to modernize commerce—the platform works with what's already in place.
- Lower risk of AI-driven errors reaching customers: Configurable validation controls mean AI outputs are reviewed before they affect search results, recommendations, or order workflows—reducing operational and reputational risks of unchecked automation.
- Compliance without architectural compromise: Organizations in regulated industries adopt AI capabilities without violating data sovereignty requirements. AI models operate only within permitted data boundaries, keeping compliance intact as capabilities expand.
Your Questions, Answered
Virto can integrate with any AI system because it runs on API-first, model-agnostic architecture that supports connection to OpenAI, Azure AI, proprietary models, domain-specific engines, and any custom-built AI system. The integration layer is designed to handle multiple AI models, providers, and integration points at once, and can be extended as AI capabilities evolve.
Configurable data boundary controls are built into the integration architecture, determining what data each AI model can access and process. Each integration point is independently configurable, meaning that connecting one AI system doesn't affect the data access rules of another. This is particularly important for regulated industries and data sovereignty requirements but also highly applicable to uniquely complex B2B environments.
No. Virto's composable architecture means AI systems plug in at the integration layer without requiring changes to platform core logic. Each connection is independently scoped and configurable.
Virto's native AI capabilities cover core commerce use cases, but external AI integration is for organizations that have existing AI investments (such as proprietary models, domain-specific systems, or preferred third-party providers) and need to connect them to commerce workflows without rebuilding on a new platform.
Yes. Virto's integration architecture includes configurable validation controls—determining how AI outputs are reviewed or filtered before they surface in search results, recommendations, or operational workflows.
