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Set up, understand, and operate Venturi

One place to understand how your company uses AI. Venturi is the attribution layer for AI: it keeps an evidence record of supported AI activity across your tools, models, and agents, showing who is responsible, what it connects to, and what it costs, so you can decide what to scale, change, or stop.

Workflow Economics Core includes cost drivers, ownership, reconciliation, and basic visibility into results that meet your acceptance criteria. Five optional extensions add adoption intelligence, governance and shadow AI, sustainability, capacity, and advanced quality. Use the capability guide to match your decision to the agreed scope.

Start with a task

Understand the system

  1. Evidence sources Cloud, identity, code, billing, telemetry, and API inputs, including request-level InvocationEvent records.
  2. IDD classification Ingestion & Data Discovery (IDD) classifies a normalized observation before it can become an invocation. Discovery-only evidence remains an observation; it is not an invocation.
  3. RAIL attribution Platform Stage A resolves ownership from facts first. Only eligible unresolved ownership relationships reach the Resource Attribution & Inference Layer, which returns confidence and evidence.
  4. Allocation and customer decisions Teams inspect, reconcile, allocate, export, dispute, or accept the result.

IDD decides what a source record establishes. Canonical invocations enter Stage A first; only eligible unresolved ownership relationships reach RAIL. This boundary prevents discovery signals, aggregate billing data, or network observations from being presented as request-level invocation truth.

Follow your role

Review security and diligence

Use Docs authority and product state to match a capability to your customer agreement, deployed configuration, and tenant-specific evidence. Need help with an integration or operating question? Review Support.

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Page: https://docs.venturi.systems/