Genie answers questions in plain language from your governed lakehouse. We make sure the answers are right, safe and trusted.
What we do with Genie
Databricks Genie lets business users ask questions of their data in plain language. NeuralShore sets up curated Genie spaces, rolls out Genie One to business users, enables Genie Code for engineers, and governs answers with Unity Catalog metrics so Genie, dashboards and agents agree.
What we set up
Genie spaces
Curated spaces with clean tables, trusted SQL and clear instructions for each team.
Genie One rollout
Assistant access for business users, including in Microsoft Teams, with permissions from Unity Catalog.
Genie Code
AI-assisted pipeline and ML development for your engineers, with review and testing built in.
Governed answers
Unity Catalog Metrics and business definitions so Genie, dashboards and agents agree.
Which branches missed their deposit target last month?
Four of 38 branches missed target. The biggest gap was in the northern region, 12% below plan.Genie · gold.branch_deposits · governed metric: deposit_vs_target
Show me the trend for those four.
Here is the six-month trend, with the target line and last year for comparison.
Example conversation for illustration
How we roll out Genie
Pick one domain
Start with a team that has clear questions and clean data, such as finance or sales.
Curate the space
Select gold tables, write instructions and add trusted example SQL.
Govern the metrics
Define KPIs once in Unity Catalog so every answer uses the same logic.
Test, launch, expand
Test with real questions, launch to users, then add the next domain.
Genie is Databricks’ natural language interface. Business users ask questions in plain language and Genie answers from governed lakehouse data, using the permissions and metric definitions in Unity Catalog.
How do you make Genie answers accurate?
We curate each Genie space with clean gold tables, trusted example SQL, clear instructions and governed metrics, then test it with real business questions before rollout.