Omni’s AI can now take questions like, “Show me margin by region last quarter” and turn it into a working query with filters, joins, and context. It can define new measures, generate summaries and even highlight anomalies. But the real breakthrough goes beyond what AI can produce: It’s about trusting what it produces, and that trust comes from the semantic layer beneath it.
Where Trust Begins
AI works best with context. Omni’s semantic layer provides a structured map of how your business operates. Every measure, dimension, and relationship is defined once and used everywhere, including dashboards, notebooks and AI. When AI runs a query, it doesn’t improvise formulas or access tables it shouldn’t. It uses your definitions, your joins and your permissions — the same logic that analysts and dashboards rely on. The result is governed, not just a fast turnaround.
Many teams struggle not because AI is wrong, but because no one understands how it reached its answer. Omni’s AI never works in isolation. Every response is based on a transparent, versioned model with built-in lineage. If someone asks, “How was profit calculated?” you can trace it instantly. If a filter changes, every dashboard, query and AI response updates automatically. Governance becomes part of how the system operates, not a separate process layered on top. That’s what turns speed into confidence.
Governance Without the Drag
Governance often gets mistaken for control, endless approvals and reviews. Omni treats governance as infrastructure. You model once, and that logic flows through everything else automatically. When a definition changes, it cascades through the semantic layer. When permissions are updated, they apply everywhere, even to AI answers. You don’t need to slow down to stay accurate, because accuracy is built into the workflow. This allows teams to move quickly without breaking things first.
Because Omni’s AI runs directly on the semantic layer, it speaks your business language. It understands that “margin” refers to a governed measure with currency conversion applied. It knows that “top-performing region” filters out inactive accounts. It recognizes what’s off-limits for certain roles and adjusts its results automatically. You can even guide it further by adding synonyms, context, or calculated logic so it reflects how your teams think and communicate. Every AI query, summary and workbook is powered by the same shared foundation.
From Governance to Growth
When governance and AI coexist in the same layer, scaling analytics becomes easier. Teams stop redefining metrics, analysts stop reconciling conflicting numbers and business users receive confident answers immediately. They also know those answers mean the same thing everywhere else. This consistency eliminates how teams previously had to constantly revisit and verify whether the foundation was stable. The semantic layer manages structure and governance; AI interprets it and translates technical language into questions, summaries, and insights.
The payoff goes beyond faster analysis—it’s reliable understanding. AI delivers speed, and governance delivers trust. Omni’s semantic layer brings them together. With Omni, you don’t just get answers quickly. You get answers you can rely on.
