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.

How it works

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.

AI governance

Governance policies we enforce.

Identity, data, actions, connectivity, and audit, on every call.

VizCo
AI governance
Policy & Identity
Roles, permissions, and approvals enforced before any call runs.
Data Control
Sensitive fields are blocked or redacted before they ever reach an external model.
Agent & Action Control
Constrain read, write, send, edit, and delete actions across systems.
Secure Connectivity
Reach internal systems without exposing credentials or keys outside your walls.
Audit Trail
Every call, policy decision, action, and data outcome logged on your infrastructure.

Examples in ChatGPT Enterprise

Data control · Action control

ChatGPT
ChatGPT Enterprise
GPT-4o · Governed by VizCo
Pull the Acme contract from SharePoint and summarize payment terms and the billing contact.
ChatGPT

Data control · drag to compare

User sees

Summary for Acme Corp. Billing contact Jane Smith (jane.smith@acme-corp.com). Payment terms: Net 30.

Model receives

Summary for [CLIENT_01]. Billing contact [CONTACT_01] ([EMAIL_01]). Payment terms: Net 30.

Looks good. Email that summary to jane.smith@acme-corp.com.
ChatGPT

Action control · call never runs

gmail.send_messageBlocked
policy: external_email.send
decision: DENY
Outbound email to external addresses is not permitted for this role.

I can't send that email. Outbound messages to external addresses aren't allowed for your role. The attempt was blocked and logged.

Message ChatGPT

Data control on what enters context. Action control before a connector runs.

Spend optimization

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.

VizCo
Spend optimization
Budget limits
Set budgets by team, project, or use case. Limits are enforced on every request.
Spend by owner
See cost by team, project, and model, so you know who is spending what.
Use by workflow
See themes of AI use and which workflows are running, so you know what the spend is for.
Risk & liability evidence

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
Risk & liability evidence
Exposure
See sensitive-data exposure and risky behaviour across AI usage and workflows.
Controls in force
Know which policies actually applied on each request, and whether interventions worked.
Evidence trail
An auditable record for leadership, auditors, and risk partners who need proof, not scores.

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.