Running Super ii as a service, AI Infrastructure
Super ii Agency Implementation, Building AI Model Delivery Services
Learn how to structure retainer-based AI model curation and deployment services using Super ii's unified catalog, versioning, and local execution capabilities. This course teaches agencies to discover models for client projects, manage private repositories with team access controls, and deliver production-ready AI implementations through automated workflows and security scanning.
Open the decision record for Super iiWhat does running Super ii for clients commit you to?
Published figures for this service. Blank fields are not published.
- Monthly tool cost
- Not published, pricing_tiers data is absent from Level 1; the agency must supply the Super ii vendor plan price
- Time to first value
- days
- Payback
- Not modeled
- Guided implementation
- 8 hours
Is Super ii worth running as a client service?
Super ii supports a managed AI collaboration service built on provenance, versioning, local/browser model execution, and MCP-connected agents, with a published time to value of days and medium setup complexity. What remains unknown is the vendor cost basis: pricing_tiers is empty in Level 1, so neither monthly cost nor ROI can be modeled until the agency supplies the Super ii plan price, client price, labor, usage, overhead, and expected volume.
An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.
Included with the course
6 working documents for delivering this service.
- AI Model Discovery and Evaluation Checklistchecklist
- Private Repository Setup and Team Access SOPsop
- Client Model Delivery Project Templatetemplate
- Retainer Pricing Worksheet for Model Servicesworksheet
- Agent Integration and API Automation Guideguide
- Security Audit and Compliance Tracking Sheetworksheet
Listed by name. These documents are not yet published as individual downloads.