Security & Governance

We do not give it free rein.

A Digital Employee receives a bounded assignment. We define what it can do, which information it can use, when it must ask and who remains responsible.

See the boundaries

Operational guardrails

Freedom to act has a perimeter.

The perimeter is not generic. It is designed around the process, tools and potential consequences.

Defined tasks

Works on agreed activities and outcomes. It does not expand its own assignment.

Limited permissions

Access is assessed and restricted to the information required by the process.

Human approval

Sensitive actions can remain pending until a person verifies them.

Escalation

When a request exceeds a threshold or presents an exception, it involves the designated person.

Recorded activity

Where possible, the process is designed so relevant actions can be reconstructed in the systems involved.

Access control

Credentials, roles and sources are considered before each tool is connected.

Operational boundaries

We define what it may complete, what it may prepare and what it must not do.

Exception management

Unexpected cases are not hidden: they become requests for a decision with the available context.

The central principle

Digital Employee does not decide everything. It knows when to stop and ask.

Data and compliance

First assess the real process.

Security, data processing and compliance are assessed against the real process before production.

Which data comes in? Where is it stored? Who can access it? Which systems receive it? How long is it needed? The answers vary between organisations and require the involvement of the appropriate responsible people.

We do not claim automatic compliance, unconfirmed certifications or legal guarantees. Instead, we define the questions, boundaries and controls to verify for the specific assignment.

Enterprise AI Governance

Enterprise-grade AI. Built for responsible deployment.

Digital Employee is designed with privacy, security, human oversight and responsible AI governance at its core.

Our architecture and deployment methodology are designed to support organisations operating under leading international AI and data-protection frameworks, including:

GDPR

Privacy-conscious architecture and data-handling controls designed to support GDPR-compliant deployments.

EU AI Act

Designed to support organisations in meeting applicable AI governance, transparency, oversight and risk-management requirements.

NIST AI Risk Management Framework

AI governance practices aligned with internationally recognised principles for trustworthy and responsible AI risk management.

Canadian Privacy Requirements

Architecture designed to support deployments subject to applicable Canadian privacy and data-protection requirements, including PIPEDA where applicable.

ISO/IEC 42001*

Our underlying AI technology provider is currently progressing toward ISO/IEC 42001:2023 certification for its Artificial Intelligence Management System.

One Digital Employee. Enterprise-ready governance across multiple jurisdictions.

Explore frameworks, controls and responsibilities

* The ISO/IEC 42001 reference concerns the underlying AI technology provider’s certification journey, not a certification already awarded to Digital Employee or ESD. Framework applicability and compliance depend on the use case, configuration and the organisation’s obligations; they are not automatic.

Exceptions

A difficult case must become visible.

A silent error is more dangerous than a request for help. That is why we also test missing data, ambiguous requests and unexpected conditions.

Example

A client sends a different document from the one expected and asks to proceed anyway.

01
Recognises the discrepancy.
The document does not meet the configured rule.
02
Does not force the process.
The activity remains pending, without arbitrary classification.
03
Prepares the context.
Collects the request, document and steps already completed.
04
Involves the designated person.
The decision returns to the person responsible.

Frequently asked questions

The right objections, before you begin.

CEOs, IT leaders and legal teams must be able to verify the perimeter before the process becomes operational.

Can it access all company data?

No. Access is defined according to the process and limited to the necessary information wherever technically possible.

What happens when it encounters an unexpected case?

It stops according to the established rules, records the available context and involves the designated person.

Is Digital Employee automatically GDPR compliant?

No. Security, data processing and compliance are assessed against the real process before production.

Can people approve an action before it happens?

Yes. Where the process requires it, human review and approval steps can be placed before the next action.

Start with what must not go wrong.

Show us the process. Together, we will define permissions, approvals, exceptions and responsibilities.

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