Use this section to describe each AI service at a level that helps internal teams understand when to use it, how to request access, and where ownership sits.
Suggested Contents
- Service purpose and supported use cases
- Owners and support channels
- Authentication and access requirements
- Data handling constraints
- Known limitations and roadmap notes
Pages
LLM Router Access
How employees can request and safely use access to the itemis LLM Router.
Open pageAI Assistants
Placeholder for internal assistant services, supported workflows, and governance notes.
Open pageModel Access
Placeholder for model providers, routing, quotas, and usage expectations.
Open page