Three blockers stand between you and successful AI deployment
Three blockers stand between you and successful AI deployment
Chaotic data environment
When AI doesn’t know, it doesn’t ask. It just guesses. And when it’s wrong, the damage is done: trust breaks, business users start questioning every output, and decisions stall.
Declutter your data
Use Euno to find conflicts and duplicates. Archive unused assets, optimize performance and give AI a clean data environment to work with.
Inconsistent definitions
AI agents need a source of truth for metrics, but without visibility into what’s created, how it’s used, and where it comes from, keeping it up to date is nearly impossible.
Maintain a governed semantic model
Identify which metrics get used the most — and which ones are losing traction — then evolve your semantic model accordingly. Keep it relevant and aligned with real business needs.
Unreliable dashboards
AI can’t tell the difference between reliable dashboards and ad-hoc exploratory ones. It needs a trusted way to tell which ones meet data team standards.
Certify dashboards for AI
Define governance rules, and let Euno check which dashboards and reports meet them. Now, AI agents can tell what’s trusted and what isn’t.