The adoption layer for enterprise AI.
Governance, spend optimization, and risk evidence on every request, before anything leaves your environment.
Enterprise AI adoption rests on three pillars.
VizCo is the layer that makes each one enforceable: governance, spend, and the evidence leadership needs to stay accountable.
One layer between AI and your systems.
Connect AI to the systems you already run, then govern every call.
Vendor-controlled platforms
ChatGPT Enterprise, Claude, Gemini, Copilot, and other vendor UIs your teams already use.
Internally built systems
Your own chat apps, agents, and APIs. Same security policies as the vendor platforms.
Apps you already run
Microsoft 365 and the other systems your teams already work in. Governed access, not a marketplace.
Sensitive data stays inside your walls
Sensitive data and credentials remain in your environment. Only policy-approved context reaches the model.
Governance policies we enforce.
Identity, data, actions, connectivity, and audit, on every call.
Examples in ChatGPT Enterprise
Data control · Action control
Data control · drag to compare
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Action control · call never runs
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Data control on what enters context. Action control before a connector runs.
Keep spend tied to approved work.
Frontier API calls cost real money, and at enterprise scale spend gets away from you fast.
VizCo enforces budgetary limits and shows both sides of the picture: who is spending, and what workflows that spend is for.
Prove control when AI creates liability.
The evidence enterprises need to adopt AI with accountability.
VizCo turns policy decisions into a clear record of exposure, controls in force, and outcomes, so risk is visible before it becomes an incident.
VizCo: See it on your workflows.
Book a short demo and we'll walk through security and spend enforcement on the platforms and systems you already run.