1
AI data grounding
AI is going to answer your customers with your name on it. Make sure it’s right. Sisense grounds AI in your data, so you can ship with confidence.
2
Governed AI
Today, that same foundation supports governed AI experiences inside the products you ship.
3
Approved data context
Ground AI in your approved metrics, context, and access rules, then deliver it into the products and workflows your users already use.
4
Shared definitions
Use governed semantics and shared formulas so people and AI always work from the same approved definitions.
5
Tenant-safe access
Enforce tenant-safe access and row-level security at the query layer, helping prevent one customer’s data from appearing in another’s answer.
6
Semantic enrichment
Use semantic enrichment and publish semantics to help AI understand your data, while keeping your team in control of the guidelines it receives.
7
Natural-language questions
Ask and find naturally. Let users ask questions in plain language with assistant and use search to find the insights they need, without navigating dashboards or understanding the underlying data structure.
8
Result explanations
Explain what matters. Turn complex results into clear summaries with narrative and use explanation to surface the drivers behind changes, so users understand not just what happened, but why.
9
Trend forecasting
See what’s next. Use pulse , forecast , and trend to surface where things are heading before users ask, so they can act on changes sooner.
