Trust & Security

Your Data, Your Technology, Your Decision

We plan security and human oversight around the actions an AI workflow is allowed to take. That means explicit data flows and hosting choices, role-based access, approval thresholds, exception handling and documented handover. The design follows your process, organizational responsibilities and infrastructure requirements.

What this means in practice

Hosting is a design choice

Your infrastructure, an approved region, or appropriate European infrastructure can be evaluated against the actual data and operating requirements.

Human checkpoints are intentional

Approvals, exception queues, thresholds, and manual fallback are set where the cost of an incorrect action warrants them.

Documentation is part of delivery

A workflow should not depend on invisible knowledge held by the delivery team after handover.

An important boundary

Security claims must match the specific implementation.

“GDPR-compliant” is not a generic product badge. Data roles, hosting, providers, access, retention, legal basis, and operating controls must be assessed for your organisation, workflow, and implementation.

Before implementation

Make the data and decision path explicit.

Data flow and location

Document what information is used, where it originates, where it is processed, which providers are involved, what is stored, and what is deliberately not retained.

Identity and access boundaries

Use the least access needed for the workflow. Make your responsibilities, delivery access, credentials, service accounts, review roles, and access removal part of the operating design.

Model and provider selection

Choose models and providers against the task, data sensitivity, contract, regional requirements, reliability, and cost. The choice should be explainable to the people accountable for it.

Roles in the process

Give each person the view and authority their role requires.

The workflow should reflect how your organisation already separates work, oversight, financial control, and accountability. Roles can be scoped by job function and by organisational unit—such as a company, business unit, location, plant, or region.
  1. 01

    Process participants

    People doing the work see the inputs, tasks, decisions, and status they need to operate the process—without unnecessary access to financial, supervisory, or unrelated business data.

  2. 02

    Approvers and managers

    Approval authority can follow thresholds, responsibility, and escalation rules. Managers can see process flow, exceptions, bottlenecks, and performance while larger decisions reach the right level.

  3. 03

    Finance and control

    Finance, compliance, or control roles can review the commercial impact, relevant records, and required approvals without receiving broad operational access.

  4. 04

    Process owners and administrators

    Named owners can monitor workflow health, manage rules and role assignments, review changes, and keep the process aligned with organisational responsibilities over time.

In operation

Control the action, not only the model.

Approvals and thresholds

A workflow can draft, recommend, classify, route, or execute. The permitted action depends on confidence, policy, cost of error, and the person responsible for sign-off.

Exceptions and fallback

When the workflow is uncertain, a source is unavailable, or the case lies outside agreed rules, the system should surface the problem and route it to a human rather than improvising.

Logging and review

Logging must be useful for operation and proportionate to the data involved. The agreed review process should make it possible to inspect output quality, exceptions, and access without retaining unnecessary production data.

At handover

Leave you in clear, understandable control.

Documentation

The delivery includes architecture, data flow, integration notes, control logic, exception handling, operating instructions, and the boundaries of any ongoing support.

Ownership and IP

Responsibilities and ownership are set in the engagement. You always retain your current-state process documentation and data; project-specific rights are made explicit in the contract.

NDA and confidentiality

AutoMates can work under your NDA or provide its own. Your confidential process knowledge is treated as a business asset, and publication is never assumed.

Common questions

Answers before the call.

Clear answers to the practical questions that usually come up before a first conversation.

Can an automation run in our own environment?

Where the process and architecture support it, deployment in your own or another environment you control can be part of the design. The correct approach depends on your systems, data, security, operating capability, and required support model.

Do AI workflows always act autonomously?

No. Many useful workflows prepare, classify, retrieve, recommend, or route while a person retains the decision. Autonomy is a design decision, not a default.

What happens to access after a project?

Access responsibilities and removal are documented as part of handover. The exact process is agreed with your security and operating requirements.

AutoMates

Bring the constraint into the design conversation early.

Data residency, client hosting, approvals, access, and auditability are easier to solve when they are part of the problem definition, not an end-stage surprise.