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iService stores model provider, embedding, and vector store settings for each tenant. Administrators review and replace provider settings. iService retrieves relevant interactions or articles and sends them to the configured model as grounding context. The model returns a synthesized response from that context.
AI architecture, security, and procurement teams select model providers, embeddings, and vector stores for each tenant.
iService lets administrators choose the model provider for procurement and data requirements. Each tenant stores provider settings, embeddings, and vector stores for AI-assisted features. Teams review and replace those settings while the tenant retains its AI-assisted features.
Tenant settings store model provider access, embeddings, vector stores, keys, and embedding generation controls.
iService configures model access per tenant. The tenant controls provider settings, embeddings, and vector stores. Administrators replace a saved OpenAI key while iService keeps its current value hidden. Separate controls pause embedding generation while existing embeddings remain available.
An AI-assisted response uses relevant interactions or articles from the service record as grounding context.
An agent starts an AI-assisted feature for a customer question in iService. iService retrieves relevant interactions or articles and passes them to the configured AI model as grounding context. The model returns a synthesized response based on that context. Tenant provider, embedding, and vector store settings remain configured for the feature.
Tenant settings control model providers separately from the AI-assisted features that use grounding context.
iService stores model access in tenant settings. Administrators review and replace provider settings. The tenant-level setup keeps provider choice separate from the grounding context selected for a response and the AI-assisted features that use it.
Administrators replace a provider key and pause embedding generation through tenant settings.
iService lets administrators replace a saved OpenAI key while keeping its current value hidden. Tenant controls pause embedding generation while existing embeddings remain available. The tenant retains its configured AI settings and stored embeddings.
iService stores model provider, embedding, and vector store settings for each tenant and grounds responses in service records.