Decouple business AI from
enterprise data complexity
Interpret
Understand the intent, resolve the business entity, and determine the data and actions required.
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 what’s needed. Execute what’s authorized.
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 at conversational speed
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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Bi-directional updates
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Executed within task scope
Build reusable data agents with enterprise-grade control
Each data agent runs in the K2view agent harness, which manages its instructions, tools, lifecycle logic, and runtime controls.
Purpose and behavior
Define what the agent is responsible for, how it should reason, handle data, and respond.
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Set goals, scope, and domain knowledge
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Define data-handling rules and response guidelines
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Guide reasoning and execution behavior
Tools and interfaces
Give the data agent access to the governed operations it can invoke.
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Data-product tools and MCP interfaces
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SQL queries against entity Micro-Databases
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APIs, Broadway flows exposed as tools, and RAG pipelines
Agent skills, hooks, and subagents
Extend the agent with reusable capabilities for more complex execution.
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Apply reusable skills for specialized tasks
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Trigger logic at defined lifecycle points
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Delegate work to specialist subagents
Runtime behavior
Control how the agent executes and manages resources at runtime.
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Select model and reasoning settings
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Set execution limits, retries, memory, and observability
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Compact context to control token usage
Explore related AI context solutions
Extend AI context delivery with an AI-ready data foundation and dynamic runtime governance.
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




















