Unified enterprise context
Jaibaná IT product
Connected enterprise knowledge for intelligent agents.
ContextIQ
We connect data, relationships, and business rules so artificial intelligence agents access contextualized information, with access controls and traceability, improving the consistency and reliability of their responses.
Knowledge and business rules
Governance for AI agents
Service details
Your AI agents need more than data. They need to understand your business.
We connect your organization’s knowledge, data relationships, and business rules so your AI agents access contextualized and governed information.
The problem
Your data is connected. But do your agents understand what it means?
Organizations store information across databases, documents, enterprise applications, analytics tools, and standalone systems.
Although AI agents can query these sources, they do not always understand how the data relates, what the indicators mean, or which rules they must apply.
- Information fragmented across systems.
- Inconsistent responses between agents.
- Lack of enterprise context and definitions.
- Duplicated integration efforts.
- Difficulties governing access and use of knowledge.
The real value of enterprise AI appears when agents not only find information, but understand the context in which they should use it.
Capabilities
What does ContextIQ offer?
Connected enterprise knowledge
We integrate information and knowledge from different sources to make it easier for AI agents to use.
Context for more reliable answers
We incorporate business definitions and relationships that help reduce inconsistent interpretations.
Integrated business rules
We make it easier for agents to consult and use business criteria defined by the organization.
Integration with AI agents
We enable access to enterprise knowledge from different applications and intelligent agents.
Governance and traceability
We incorporate mechanisms to control access to information and support tracking of its use.
Architecture
How does ContextIQ work?
We connect your organization’s knowledge with your intelligent agents through a governed context architecture.
Intelligent agents
Enterprise context
Information sources
Methodology
From enterprise knowledge to AI with greater context.
We support organizations in connecting and leveraging their knowledge to power intelligent solutions.
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We understand
We identify your organization’s information sources and needs.
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We connect
We design and integrate the enterprise context your agents need.
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We enable
We make it easier to use connected knowledge in AI solutions.
Use cases
Contextual intelligence for different enterprise needs.
Enterprise assistants
Agents that consult policies, procedures, and documents using common definitions.
Intelligent analytics
Queries over enterprise indicators and data with documented relationships and metrics.
Commercial agents
Contextual access to product information, policies, and commercial processes.
Regulated processes
Consultation of formal rules and traceable knowledge to support processes requiring greater control.
Benefits
Turn your organization’s knowledge into a shared capability for AI.
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Greater consistency: common definitions and documented relationships.
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Less duplication: reusable components across different agents.
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More control: governance, permissions, and traceability.
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Better integration: connection of structured and unstructured information.
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Scalability: a knowledge base that enables new use cases.
Results depend on the quality of the sources, the implemented architecture, and the validation mechanisms established.
Give context to your artificial intelligence.
Your agents can only be as useful as the knowledge available to them and their ability to interpret it correctly.
At Jaibaná IT we help you design an architecture where data, knowledge, and business rules connect to power more reliable and governed AI solutions.
Do your agents really understand your business?
Let’s talk about ContextIQ