Decouple business AI from
enterprise data complexity
Interpret
Use semantic models and metadata to interpret intent, resolve entities, and identify required data & actions.
Orchestrate
Invoke the right data-product tools, SQL queries, APIs, and RAG pipelines in the required sequence.
Deliver
Return fresh context in milliseconds, or execute authorized actions with transactional write-back.
Retrieve context
Assemble the structured and unstructured data required for the task through data-product tools, SQL queries, APIs, and RAG pipelines.
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Business-fresh data
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Entity- and task-scoped
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Structured + unstructured
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Delivered in milliseconds
Execute actions
Invoke authorized operations through data products and write updates back to enterprise systems.
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Governed actions
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Transactional write-back
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Executed within task scope
- Return action results to business AI
Define the agent’s purpose, scope, and operating instructions in one place
AI-Ready Data Products
Turn fragmented enterprise data into reusable, entity-centric data products that provide the governed, business-fresh foundation AI needs.
- Unify structured and unstructured data by business entity
- Keep context synchronized with source systems
- Expose governed data and actions via tools and interfaces
- Support both retrieval and authorized write-back
AI Runtime Governance
- Scope data access to the specific entity and task
- Apply masking, privacy, and consent controls in flight
- Control which tools and actions can be invoked
- Govern authorized write-back to enterprise systems
