Unified context: The missing layer for enterprise AI coworkers

Summary

Enterprise AI assistants often produce fluent answers yet fail to improve forecast calls, deal reviews, and operational standups because decision context is scattered across systems, teams, and competing definitions. Genie One addresses this by using a shared context layer spanning Databricks data, documents, SaaS applications, and operational systems, allowing questions and follow-up work to retain business meaning. Genie Ontology organizes terms, metrics, entities, and relationships into a living knowledge graph, learning from data, dashboards, queries, documents, and connected applications while ranking definitions and signals using usage and certified-asset links. Together with Unity Catalog, it applies permissions, certified data, shared definitions, and governance controls to answers, actions, and agents. The stated outcome is faster movement from decision preparation to action, with less manual reconciliation while preserving accuracy and control.

Context

Business decision context is scattered across systems, teams, and inconsistent definitions. Generic assistants typically retrieve accessible information for a single prompt, so they struggle to connect data, definitions, and workflows across business processes or provide a reliably grounded view for decisions.

Approach / What changed

Genie One uses unified context across Databricks data, documents, SaaS applications, and operational systems. Genie Ontology builds a living knowledge graph of business terms, metrics, entities, and relationships, while Unity Catalog supplies governed access, certified data, and shared definitions. Genie One brings this context into tools such as Slack, Microsoft Teams, mobile, MCP, and dashboards, and supports actions, workflows, and reusable agents.

Takeaways

• Genie Ontology combines governed assets with context learned from data, dashboards, queries, documents, and connected applications, then ranks definitions and signals using usage and links to certified assets.
• Genie One supports both question answering and agentic work, including scheduling tasks, drafting documents, generating reports, triggering workflows, and creating agents for recurring processes such as forecast preparation.
• Unity Catalog and Genie Ontology are presented as complementary: access controls, certified data, and shared definitions constrain what users see, while the ontology connects related signals across systems.

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