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Whitepaper Whitepaper
Universal Semantic Layer : The foundation for instant, actionable, agentic analytics
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The ultimate analytics co-worker
for enterprise big data

Install and try instantly

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Get the plugin

Download the Kyvos Cowork plugin or access it via Github

Setup Claude Cowork 

Follow these steps to configure it in your Claude Cowork workspace

Start Analyzing

Ask questions, investigate metrics, test new skills or run actions immediately

  • The plugin includes a pre-configured semantic model for immediate exploration
  • You can also connect your existing Kyvos semantic models. Learn here
  • Compatible with all Claude Cowork plans that support plugins

Key Takeaways

Claude Cowork brings agentic workflows to analyze data. But when agents runs on enterprise big data, they guess what fields mean, produce inconsistent answers and outputs that are hard to defend. Kyvos grounds agents in governed semantics so workflows act the way the business operates.

Together, they deliver answers and actions you can trust—at enterprise scale.

  • One shared definition behind every answer and action
  • AI that operates within business rules and controls
  • Complex workflows on massive datasets — without slowdown
  • Outcomes aligned to how the business actually runs
Accuracy

Zero-guesswork answers

Agents hallucinate when they see raw columns like REV_AMT_01. They infer meaning.

With Kyvos, that field is already defined as Gross Revenue (Pre-Tax). Claude Cowork pulls the governed definition and applies the same metric logic and access rules your dashboards use.

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    No ambiguity in business meaning or metric computation

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    No metric drift across teams or analytical workflows

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    Outputs you can defend, numbers that hold up in reviews

Speed @Scale

Big data at small-talk speed

Agents break flow when they have to scan billions of rows and hit timeouts.

Kyvos is built for high-performance analytics. It returns lightning-fast responses for Cowork to complete multi-step workflows end-to-end, without compromising speed.

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    Fast answers and actions on large datasets

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    Reliable performance under concurrency

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    Workflows that don’t stall or lose state mid-task

Control

Action without chaos

Agentic AI introduces a new risk: actions taken faster than organizations can govern them. When control isn’t designed in, speed creates inconsistency and increases risk.

Claude Cowork handles reasoning and execution. Kyvos acts as the control plane—resolving meaning, enforcing definitions and applying access rules at every decision step.

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    AI-driven actions that remain compliant and auditable

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    Clear separation between intelligence and business control

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    Freedom to innovate with AI without re-validating core logic

Agency

Actions that follow the business logic

When agents pull context from multiple systems — logic fragments, interpretations drift and confidence erodes.

Kyvos provides a single, governed source of business truth that agents use for data-driven orchestration. Claude Cowork orchestrates workflows on that foundation, producing consistent, explainable output that teams trust.

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    Higher confidence in autonomous, multi-step workflows

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    Agents that reason from the universal business truth

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    Orchestration that scales without fragmenting logic or trust

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    Lower maintenance, fewer rebuilds

Repeatability

No drift—in answers or actions

AI demos look great once. Enterprises fail on the second, tenth, or hundredth run—when workflows diverge, logic changes, or no one can explain why an action was taken.

Business logic and definitions are centralized and standardized in Kyvos. Claude Cowork executes workflows using the same governed definitions, rules and access controls every time—regardless of who asks, when they ask, or how the workflow evolves.

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    Consistent outcomes across teams and time

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    Reusable workflows that behave consistently as AI evolves

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    Institutional knowledge that survives prompts, people and model changes

What you can build

Start with workflows that show value fast.

  • Executive and
    finance

    Variance narratives using governed KPIs Weekly performance packs generated automatically Board-ready summaries that match finance definitions

    Executive and <br> finance

  • Operations and
    supply chain

    Exceptions and reconciliations at scale Root-cause exploration across large operational data SLA and incident summaries that are auditable

    Operations and <br> supply chain

  • Analytics and
    data teams

    Governed self-serve exploration across BI and AI Fewer “why numbers differ” escalations Faster delivery of trusted experiences

    Analytics and <br> data teams

  • Sales and
    revenue ops

    Pipeline risk and forecast explanations Territory performance and leakage analysis Account briefs grounded in shared metrics

    Sales and <br> revenue ops

FAQs

What does Claude Cowork do?
Claude Cowork orchestrates agentic workflows. It plans multi-step tasks, invokes tools and executes actions—such as generating analyses, drafting communications, triggering follow-ups or coordinating tasks across systems.
What does Kyvos + Claude Cowork mean for enterprises?

Together, they make agentic AI enterprise-ready.

Claude Cowork provides agentic analytics. Kyvos provides governed business semantics—metrics, relationships, rules and access controls. Agents can reason and act using the same definitions the business already trusts.

Does this replace my data platform or BI tools?
No. Kyvos sits on top of your existing data platforms and works alongside your BI tools. Claude Cowork uses Kyvos as its semantic foundation, ensuring AI-driven decisions align with the same definitions, logic and rules that are used across your enterprise.
How does it reduce hallucination?
Agents hallucinate when they infer meaning from raw data. With Kyvos, business meaning is predefined and governed. When Claude Cowork evaluates data, it relies on shared definitions and metric logic instead of guessing.
What about security and governance?
Kyvos enforces definitions and access controls through the semantic layer so outcomes stay controlled and defensible.
Is this only for analytics use cases?
No. Any workflow that includes data-driven decision points—finance, sales operations, supply chain, executive reporting, or operational monitoring—can benefit from a governed semantic foundation.