SEMANTIC ONTOLOGIES FOR SERVICENOW
ServiceNow
Timbr connects to ServiceNow as a native data source and transforms incidents, services, assets, configuration items, SLAs, and related records into a governed semantic model.
Timbr preserves ServiceNow relationships, standardizes operational metrics, and makes IT data accessible to analytics tools, applications, APIs, and AI agents – without moving the underlying data.
Key Capabilities
Automatically Model ServiceNow Data
Generate ontology concepts and relationships from ServiceNow incidents, services, assets, configuration items, SLAs, and related entities.
Preserve CMDB
Relationships
Model dependencies between services, configuration items, assets, owners, and operational records as explicit, reusable relationships.
Standardize Operational
Metrics
Define MTTR, SLA compliance, incident recurrence, service reliability, and other metrics once and reuse them consistently across teams and tools.
Query Business Concepts, Not Tables
Let analysts work with governed ServiceNow concepts and relationships while Timbr handles the underlying query translation.
Connect ServiceNow to Enterprise Data
Relate operational records to customers, products, contracts, departments, financial data, and other enterprise domains through one semantic graph.
Power AI Agents with Operational Context
Give AI agents a relationship-aware model for incident analysis, dependency exploration, change impact, and operational decision-making.
What Every ServiceNow Team
Should Know
RELATIONSHIPS GET FLATTENED
Incidents, services, configuration items, assets, and SLAs are deeply connected in ServiceNow. When exported for analytics, those relationships often become flat tables that teams must rebuild manually.
Operational Metrics Drift Across Teams
Metrics like MTTR, SLA compliance, incident recurrence, and service reliability often vary across dashboards. Timbr centralizes the logic so every team uses the same governed definitions.
AI Agents Need Operational Context
AI agents need more than raw ServiceNow tables. Timbr provides explicit concepts, relationships, and business rules for incident analysis, dependency exploration, change impact, and service risk.
From ServiceNow Records to Operational Knowledge
ServiceNow was designed around relationships. Timbr keeps them intact.
Incidents connect to services. Services depend on configuration items. Assets have owners. SLAs define commitments. Timbr models these relationships once in the ontology so analytics tools, applications, and AI agents can reuse the same operational context without rebuilding complex joins.
One Semantic Model for Analytics and AI
- Use one governed model across analytics, APIs, applications, and AI.
- Apply the same operational metrics and business rules across every consumer.
- Reuse ServiceNow relationships without rebuilding joins in each tool.
- Keep ServiceNow as the system of record while exposing a virtual semantic layer.
- Update business logic once in Timbr and make it available across downstream use cases.
How it Works
Timbr connects to ServiceNow as a native data source and automatically generates an ontology from the ServiceNow schema. Incidents, services, assets, configuration items, SLAs, and related records become governed business concepts with explicit relationships.
Teams can then enrich the model with operational metrics, business rules, hierarchies, and cross-system relationships. Timbr keeps ServiceNow as the system of record while exposing the semantic model to BI tools, SQL clients, APIs, applications, and AI agents.
Queries are translated through Timbr’s SQL-native semantic layer, so consumers work with business concepts instead of raw ServiceNow tables while still accessing the underlying live data.
