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AI CONTEXT DELIVERY

Deliver the business context AI needs to act

K2view data agents interpret intent, resolve entities, and orchestrate data products to deliver business-fresh context and execute authorized actions at conversational speed.

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Decouple business AI from
enterprise data complexity

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Interpret

Understand the intent, resolve the business entity, and determine the data and actions required.

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Orchestrate

Invoke the right data-product tools, SQL queries, APIs, and RAG pipelines in the required sequence.

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Deliver

Return fresh context in milliseconds, or execute authorized actions with transactional write-back.

Retrieve what’s needed. Execute what’s authorized.

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Retrieve context

Assemble the structured and unstructured data required for the task through data-product tools, SQL queries, APIs, and RAG pipelines.

  • Business-fresh data

  • Entity- and task-scoped

  • Structured + unstructured

  • Delivered at conversational speed

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Execute actions

Invoke authorized operations through data products and write updates back to enterprise systems.

  • Governed actions

  • Transactional write-back

  • Bi-directional updates

  • 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.

  • Set goals, scope, and domain knowledge

  • Define data-handling rules and response guidelines

  • Guide reasoning and execution behavior

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Tools and interfaces

Give the data agent access to the governed operations it can invoke.

  • Data-product tools and MCP interfaces

  • SQL queries against entity Micro-Databases

  • APIs, Broadway flows exposed as tools, and RAG pipelines

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Agent skills, hooks, and subagents

Extend the agent with reusable capabilities for more complex execution.

  • Apply reusable skills for specialized tasks

  • Trigger logic at defined lifecycle points

  • Delegate work to specialist subagents

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Runtime behavior

Control how the agent executes and manages resources at runtime.

  • Select model and reasoning settings

  • Set execution limits, retries, memory, and observability

  • Compact context to control token usage

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Turn a use-case description into a production-ready data agent in minutes

Starting from a natural-language use-case description, K2assistant creates the required data product, configures the data agent, and guides you through testing and deployment.

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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

Dynamically determine and enforce the data and actions permitted for each interaction based on the user or agent, task, policy, and business context.
  • 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

Experience governed context delivery live

Ask questions against multi-source enterprise data, get grounded answers in real time, and inspect the trace behind every interaction.

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Learn more about AI-ready data

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