Security & control

Control isn’t added after AI.
It defines what AI is.

MyCh IQ makes operational boundaries visible: what can be executed, what needs approval and what remains human.

Discuss your framework ↗
Four layers of control

A clear boundary at every step.

The goal is not to prevent automation. It is to make its scope explicit and verifiable.

Scope

Approved tools

The AI agent acts only through defined actions, with expected inputs and an explicit scope.

Autonomy

Graduated autonomy

Each action can be supervised, subject to approval or executed autonomously according to its policy.

Accountability

Roles and permissions

Responsibilities, thresholds and the scope of approvals are assigned to identifiable roles.

Traceability

Decision audit

Conversation, decision, actor, tool, approval and outcome form a usable audit trail.

Risk exists at the action level

A different policy for every decision.

Retrieving an invoice, changing customer data and triggering a financial transaction carry different risks. MyCh IQ lets you govern each separately.

  • Autonomy for simple, sufficiently documented actions
  • Approval for sensitive changes
  • Mandatory human control when policy requires it
Traceability

Understand what actually happened, afterwards.

The audit shows decisions and their operational context without exposing secrets, tokens or infrastructure details in the business interface.

A deliberately specific scope

This page describes the controls visible in the MyCh IQ demo. Hosting, retention, integration, GDPR and governance requirements are validated with each organisation during scoping. No unconfirmed certifications are claimed here.

Start with the rules

Show us what AI must never decide alone.

We’ll build the demo around that boundary, then around the actions you actually want to automate.