Modern Analytics and AI, Governed Inside Your Snowflake Boundary
Your analysts think in R and Python. Your data lives in Snowflake. Your oversight bodies expect documented, auditable, reproducible work that never leaves the authorization boundary.
This decision guide follows the questions a public sector leader actually works through — what the platform is, how it fits a Snowflake stack, how it governs AI, what it costs, and which peers already run this way. Each section is short on purpose, so you can take any one of them into a budget conversation or a security review and have what you need.
What’s inside
Built for budget conversations and security reviews
- Three ways to integrate with Snowflake: open-source packages (dbplyr, orbital, ellmer, chatlas), connected apps, and the fully managed Posit Team Native App on Snowpark Container Services
- AI governance without a separate control plane: enforced assistant controls, curated package supply chain, audited deployment surface, and Snowflake Cortex for in-account AI
- Adding open source alongside SAS on your agency’s timeline, aligned to the SHARE IT Act
- Cost justification: consolidation, lower operational load, risk reduction, and an ROI framework
- Case studies: City and County of San Francisco, Department of Finance Canada, Montana DPHHS
- A six-question decision checklist to take into your next review
Procurement-ready
Available where you already buy
The Posit Team Native App is on the Snowflake Marketplace today, and Posit Team is available through systems integrators and contract vehicles agencies already hold, including NASA SEWP. Posit solutions are used in regulated environments, including FedRAMPed and classified networks.