Governance · Processes · AI agents

Your AI agents.
Under the control
of your processes.

vtezero is the European platform connecting AI agents to business information systems while respecting organisational structure, permissions and GDPR. Every agent works within a process supervised by people: you always know who does what, with which data and under what oversight.

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2.000+
vtenext business customers
100+
ecosystem partners
GDPR by design
native compliance, not added afterwards
Made in EU
European data sovereignty
// why now

The question is no longer ‘which model’. It is ‘who controls the agents’.

In 2026, enterprise AI is moving from model selection to execution governance. IT leaders no longer ask which LLM to adopt, but how to control, verify and ensure the compliance of what agents do.

Open standards such as MCP and A2A have made it easy to connect an agent to a tool. There are still gaps at three levels: organisational, process and regulatory.

That is exactly where vtezero works. Let your processes control your AI agents, not the other way round.

ORG
Organisational level
Roles, permissions and data access levels aligned with organisational structure and internal policies. For agents too.
BPM
Process level
Every agent action is invoked, contextualised and supervised by a process, with human checkpoints where needed.
GDPR
Regulatory level
Data processing, especially customer data, is compliant by design for both internal and external agents.
// the problem holding AI agents back

Connecting an agent is easy.
Governing it in a company is not.

Gartner predicts that by 2026, 40% of enterprise applications will integrate AI agents, up from less than 5% in 2025. Security, compliance and verifiability are what separate a pilot from production.

Source: Gartner, August 2025

Agents without governance
Shadow AI
Every department introduces its own agents, with no shared control framework. Nobody knows for sure which data they access or who is accountable.
✕ Untracked agents accessing sensitive data
✕ Permissions disconnected from organisational structure
✕ No human oversight at critical steps
✕ GDPR compliance difficult to prove in an audit
✕ No visibility into what agents are doing
with vtezero
Agents within processes
Controlled autonomy
Departments adopt the agents they need within processes the company knows and controls. Innovation continues, and control stays with people.
✓ Every agent operates within a defined process
✓ Roles and permissions aligned with organisational structure
✓ Configurable human checkpoints
✓ Data processing compliant by design
✓ Agent and process activities visible in real time
// the four pillars

Not another framework for building agents.

vtezero is the governance, process and human oversight layer that makes AI agents usable in companies safely, compliantly and under control.

Pillar 1
Governance
through processes
Every agent operates within a supervised process
No disconnected autonomy: the process invokes the agent, provides context and decides when a person is needed. The BPM engine is vtenext's native engine, mature and proven.
In practice
Native BPM engineHuman checkpointsHuman-in-the-loop
Pillar 2
Compliance
with GDPR built in
Customer data is processed compliantly, by design
Data processing rules apply to internal and external agents and form part of the operational workflow. They are not controls added afterwards.
In practice
GDPR by designCustomer dataInternal and external agents
Pillar 3
Visibility
and control
See what agents and processes do in real time
A supervision dashboard shows the activities of agents and the processes invoking them. Every action is traceable and verifiable.
In practice
Supervision dashboardTraceabilityAudit
Pillar 4
Compatibility
with your systems
Connects to the applications you have, without replacing them
CRM, ERP, ticketing, DMS, email: vtezero connects agents to existing information systems through open standards.
In practice
CRMERPTicketingDMSEmailOpen standards
The principle
The process calls the agent.
Not the other way round.
In vtezero, an agent never acts on its own: it steps in when a process requires it, with the permissions for that step, and delivers the result to whoever must verify it.
Process
Invokes
the agent
Permissions
Role and data
verified
Checkpoint
A person
approves
Traceability
Activity
logged
// how it works

Processes, agents, people: one orchestration

Three distinct roles working together. That is what makes agentic AI adoptable in a company.

Process layer
Process
Determines when an agent acts, with what context and under what oversight
Operational layer
Agent
Performs the task within its assigned data and permission boundaries
Supervision layer
Person
Verifies, approves and takes responsibility at the checkpoints defined by the process
// the platform

What vtezero does

Six capabilities for adopting agentic AI without losing control.

01 —
Connects agents and applications
Connects your own or third-party AI agents to information system applications: CRM, ERP, ticketing, DMS and email.
Own agentsThird-party agentsOpen standards
02 —
Respects organisational structure
Applies roles, permissions and data access levels to agents in line with organisational structure and internal policies.
RolesPermissionsInternal policies
03 —
Ensures GDPR compliance
Compliantly manages data processed by internal and external agents, with particular attention to customer data.
GDPR by designCustomer dataAI Act
04 —
Embeds agents in processes
Every agent action is invoked, contextualised and supervised by a structured business process, with human checkpoints.
BPMHuman-in-the-loopCheckpoint
05 —
Shows everything in real time
Displays the activities of agents and the processes governing them, with full traceability and verifiability.
DashboardTraceabilityAudit
06 —
Works with or without vtenext
Born in the vtenext ecosystem, but a cross-system platform: you can use it even with another CRM.
Cross-system platformvtenext ecosystemMade in EU
// use cases

Where governance makes the difference

Typical scenarios in industries most exposed to customer data processing.

Finance
Complaints with human approval
The process invokes the agent, which drafts a response using only permitted data. A manager approves it before it is sent to the customer.
Human checkpoint
before every send
Manufacturing
Support across multiple systems
The agent consults CRM, ERP and ticketing with the permissions of its role. Critical cases go to a technician.
Role-based access
to CRM, ERP and ticketing
B2B services
Onboarding with multiple agents
Internal and third-party agents work in the same process. Each sees only what its step requires.
One process
for all agents
Public administration & Utilities
Cases with traceable decisions
The agent prepares the case; a person retains the decision. Every step is logged.
Full traceability
who did what, on which data
See all scenarios →
// where it comes from

Built on real foundations

A mature process engine and an active ecosystem, not an experiment.

Origins
An Italian open-source CRM with a native BPM engine: over 2,000 business customers and more than 100 partners.
Process engine
Mature and designed for human oversight from the outset. It is what governs the agents.
Open standards
Agents connect to tools through open interoperability standards such as the Model Context Protocol.
Regulatory framework
European compliance as a design requirement for organisations processing customer data with AI agents.
// security & compliance

Compliant by design.
Not an add-on.

With the AI Act and GDPR, compliance is a purchasing requirement, not an option. vtezero brings it into the operational workflow: it is not a check to perform afterwards.

Roles & permissions
Agents respect organisational structure

Every agent operates with roles, permissions and data access levels aligned with organisational structure and internal policies.

GDPR built in
Customer data compliant by design

Personal data processing by internal and external agents follows rules defined within the process.

Human oversight
People stay in the loop

Configurable human checkpoints at the steps that matter: the agent proposes, a person checks and approves.

Traceability
Who did what, on which data

At any time, you can demonstrate which agent performed an action, in which process and on which data. You are ready for an audit.

AI Act
Ready for European AI regulation

Traceability, human oversight and data control are design requirements. Prepare for audits and regulations without rebuilding your architecture.

Made in EU
European data sovereignty

vtezero was born in Europe, for companies handling European customers' data. Data sovereignty is a starting point, not an option.

Regulations & standards
GDPR
EU Reg. 2016/679
AI Act
EU Reg. 2024/1689
ISO 27001
vtenext Cloud
BPMN 2.0
Process Standard
MCP
Open Standard
// integrations

Connects to what you already use.
Without replacing it.

vtezero connects AI agents to your information system applications through open standards. Here are some examples of systems you can connect.

CRM & Sales
vtenext
Salesforce
HubSpot
Zoho
Pipedrive
ERP & Business management
SAP
Oracle
Odoo
Zucchetti
TeamSystem
Email & Collaboration
Microsoft 365
Microsoft Teams
Slack
WhatsApp Business
Twilio
AI agents & Cloud
OpenAI
Claude / Anthropic
Ollama / Local LLM
Azure
AWS
MCP
Open standards for agents
APIs open
To business systems
0
Systems to replace
100+
vtenext ecosystem partners

Ready to govern
your AI agents?

We will show you vtezero on your processes: who does what, with which data and under what oversight.

Request a demo →