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Workforce AI governance

Know how your organization uses AI, and set the rules.

An inventory of the AI applications and MCP servers in use, usage broken down by team and use case, approval status and risk for each application, and policies that act where Vekri has a control point, with privacy built in.

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What you can answer

The questions, and how Vekri answers them.

See it work

Step by step.

Workforce AI usage
Illustrative data

Endpoint inventory

Claude Code hooks

Local MCP gateway

Vekri Gateway

Attribution

Verified evidence only

Device binding: employee verified
No evidence: counted, not assigned

Vekri Observe · Usage Explorer

Last 30 days

  • Claude Code312
  • MCP: github148
  • MCP: linear64
  • Codex41

Engineering · 41 peopleSupport · 12 peopleLegal · below group size

Shown as pseudonymsEmployee 7f3aEmployee c21e

What happens

Capabilities

Go deeper.

Scope

What it does not claim.

  • AI use in web browsers is not discovered: that needs a browser extension, which Vekri does not have.
  • Approval status and usage policies are enforced only where Vekri has a control point (MCP calls through the local MCP gateway); elsewhere they are recorded.
  • Cloud-hosted connectors (for example ChatGPT's) are outside the device; govern their servers with Vekri Gateway.

Products

The parts of Vekri involved.

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See Vekri with your own AI applications, agents and systems.

Talk to us about the AI your organization uses, the systems agents reach and how you deploy: in Vekri's cloud, or inside your own Kubernetes cluster.

Contact SalesRequest a Demo