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ZP Nexus

Enterprise AI Control Plane: the infrastructure to put AI agents to work safely.

Connect AI agents to company resources with identity, permissions, policies, approvals, private access and auditing.

▶ ZP Nexus in 1 minuteI want to evaluate a pilot →
In 1 minute

From the natural-language request to the audit trail.

Watch the AI query the ERP with read-only permission and a critical action wait for human approval. Click the video to talk about a pilot.

Control Tower

Know what each AI did, for how long and whether there was risk.

See live which AIs are working, on which projects and machines. And get a summary by e-mail every day, with a PDF ready to show your manager or client.

Live, in plain languageWho is working now, where and with what goal. No technical logs in your face.
Time worked with AIHours per AI, per company and per project. Enter your hourly rate and see each AI's estimated cost.
Points of attention, no panicSensitive command in production, blocked action or an AI with no declared goal show up as a discreet badge that fades on its own.
Daily, weekly and monthly summaryYou choose who receives it and at what time. PDF report attached, with a comparison to the previous period.
One button to stop every AISomething looks off? One click pauses all your company's AIs. Connections stay intact and resuming brings everything back instantly.
I want to see the Control Tower in my environment
What your company gains

AI that really works, without giving up control.

An AI that can work

Queries systems, runs routines and delivers results, not just text.

+ No unrestricted access

Each agent only sees the resources and actions it was authorized for.

+ Approval for what's critical

Sensitive actions stay blocked until a person in charge approves.

+ Everything auditable

Who asked, what was done and the result are all recorded.

Why not connect AI directly to systems?

Companies need to control who accesses what, what can be done and everything agents executed.

Who accesses

Finance AI: Finance ✓ HR ✗ Production ✗

What it can do

Query ✓ Change production ✗ Delete data ✗

What happened

Agent, action, result and audit recorded.

How we do it

The capabilities behind the control.

For the technical team: these are the resource types ZP Nexus connects and governs.

Machines

Reading, diagnostics and controlled operations on computers and servers.

N8N

Discovery and execution of workflows authorized per organization and resource.

Browser

Automation on a real browser and on systems with no suitable API.

Workspaces

Project context, Git, files, logs and associated environment.

Governance

Connecting a capability doesn't mean granting unrestricted access.

The product separates installation, provider, resource, permission, scope, policy, security, approval, execution and auditing. This separation reduces the risk of turning convenience into implicit authorization.

Identity
Resource + permission + scope
Policy + security
Approval when needed
Execution + auditing
Compatibility

Compatible with the AIs your team already uses.

ZP Nexus exposes its capabilities through the MCP protocol, with OAuth login. The same permission, approval and auditing rules apply to any connected client.

Claude: custom connector
ChatGPT: developer-mode app
MCP + OAuth protocol

Business usage examples

Finance

"Which customers are overdue?"

ERP → Nexus → rules → answer with audit.

IT

"Why is my server slow?"

Logs → analysis → controlled recommendation.

Operations

"Which orders need attention?"

Data → rules → operational summary.

Limited spots · early access

ZP Nexus Pilot Program

We are selecting companies to deploy the first governed enterprise AI environments: assisted deployment, one real process, controlled environment, close follow-up and result measurement.

You don't need to replace your existing ERP, database, system or infrastructure.

I want to evaluate a pilot

First we talk and define the commercial terms together.

  1. 01We pick a process
  2. 02We identify systems and data
  3. 03We connect to ZP Nexus
  4. 04We set up identity and permissions
  5. 05The AI runs the process
  6. 06We measure the result
I want to evaluate a pilot