Business Context for AI

The understanding enterprise AI needs

To reason the way your business does, AI needs the full picture — what the data means, how it connects, and the rules it runs on. While some offer only definitions and others only a roadmap, Kyvos delivers complete context, already helping enterprises reach 100% accuracy in production.

Complete Business Context

Semantic Model

Defines metrics, dimensions, hierarchies, and business logic in business terms

Unstructured Knowledge

Provides business rules, policies, playbooks, and other business knowledge

Business Knowledge Graph

Maps KPIs, entities, concepts, and knowledge, with the rules, weights, and causal paths that connect them

Governance

Enforces data access, security, and usage policies consistently across users and applications

Workspace to assemble and govern
the context and tools AI use cases need

AI Space

Context-aware agent,
purpose-built for enterprise data scale

Dialogs

How Kyvos grounds every AI answer

Which customers should we prioritize this quarter?

- What must be resolved
- How Kyvos resolves it
- The meaning of the terms. "Customer," "prioritize" and "this quarter" each carry more than one possible definition.
- Semantic Models
  Establishes the definitions AI uses, so every account is measured on the same basis. A "customer" is a parent account with its subsidiaries; "priority" is a defined score of expansion, renewal risk and adoption; "this quarter" is the current fiscal quarter. On this basis, accounts like Acme, Contoso Freight and Global Logistics score among the highest.
- The context outside the metrics. Policies and account notes carry conditions the numbers alone don’t capture.
- Unstructured Knowledge
  Adds the relevant policies and notes, so AI accounts for them.
  
  Acme scores highest, but a renewal-freeze clause in its contract disqualifies it for now.
- The connections between accounts. An account’s risk and value depend on what it is connected to, not just its own numbers.
- Business Knowledge Graph
  Adds each account's connections, so AI weighs them alongside its metrics. Northwind shares a critical product with an account at risk of churning—a vulnerability that surfaces only through the connection.
- The limits of the user’s access. AI must draw only on data the user is permitted to see.
- Governance
  Applies the user's permissions, so AI draws only on approved data.
  
  Only the customers, metrics and territory this user is cleared for enter the result.

Prioritize Northwind Retail, Global Logistics and Contoso Freight this quarter.

Contoso and Global Logistics rank highest on the numbers. Northwind makes the list because it's exposed to another account's risk. All three are within your assigned territory.

Continue Exploring

AI Accuracy

See how complete business context improves AI accuracy in production

Token Savings

Discover how precise business context reduces AI token consumption

FAQs

Why does enterprise AI need business context?

AI needs to know what the data means, how it connects and which rules apply. Without this context, models guess. Context grounds every answer in how the enterprise actually operates, so outputs stay consistent and verifiable.

Does Kyvos provide context for AI?

Yes. Kyvos brings governed semantics for numbers, unstructured knowledge for operational evidence, business knowledge graph for how everything connects. Together, they give AI the complete context it needs to deliver trusted, consistent and production-ready answers.

How does Kyvos improve AI accuracy?

Kyvos grounds every AI query in trusted business definitions, enterprise knowledge, and business relationships. This reduces hallucinations, improves consistency and helps AI deliver answers that align with how the business actually operates.

How does governance fit into Kyvos?

Kyvos applies data security and role-based access controls before AI accesses data, so agents only reach the data they are authorized to access. Every response remains secure, compliant and traceable to its source.

What’s the role of semantic model, unstructured knowledge and business knowledge graph?

Semantic model defines what business terms and metrics mean.

Unstructured knowledge gives AI access to enterprise evidence — such as incident records, policies and operating playbooks.

Business knowledge graph maps how business entities connect and influence each other, so AI can explain why something happened and not just report what happened.

Kyvos brings everything together to give AI complete business context for understanding, reasoning and explaining.

Context for AI