In this session, I’ll live‑demo a CFO‑ready AI Assistant built on a lakehouse that answers only from governed data, always shows its sources, and leaves an audit trail. You’ll see how grounding restricts the assistant to trusted actuals/budgets/drivers; how “cite‑or‑fail” eliminates hallucinations and how telemetry logs every interaction (who asked, which tables, which filters, summary) so Finance can trust and audit results. I will also cover simple refusal logic for low‑trust queries and a 30‑day rollout plan to pilot this in your environment. Walk away with a repeatable pattern and starter templates to deliver board‑grade variance narratives that are accurate, sourced, and explainable (demonstrated live on Databricks)

Key Takeaways-
#1 Implement a grounded, “cite‑or‑fail” copilot pattern that eliminates hallucinations
#2 Capture audit‑ready evidence with telemetry linking prompt → data sources → filters → summary for board and audit
#3 Apply a practical 30‑day rollout plan: scope, data curation, refusal rules, evaluation gates and success KPIs