Metabase

You don't have to choose between shipping AI and staying in control. Governance is the difference between your data team feeling confident about rolling it out, and stops people from routing around the sanctioned tool and pasting data into a chatbot instead.

In this AI Analytics Week session, we'll get into:

*   The rollout checklist: who gets AI, what it can see, how it behaves, what it costs (setting token limits, and how to cap spend), and the audit trail that proves it later
*   How far you can take it if your rules are stricter than most: bring your own AI model or key, no data movement, self-host the whole thing
*   Where to find audit logs and usage analytics to see how it's actually being used (and what's being queried) in your org

You'll leave with the rollout playbook for AI analytics that fits orgs even with the strictest of requirements. Bring your questions, we'll take them live.
