The AI OS Architecture for Commerce

This page is the “how it works” layer — not another brochure. Vortex IQ connects your signals, runs stateful agents, and safely applies fixes through a controlled execution layer (staging, backup, rollback).

How the AI OS works

Commerce is complex; your OS shouldn't be. We’ve distilled enterprise AI into one intuitive framework for your entire team.

Signals Layer

Connectors ingest data from platforms, marketing, payments, performance, and ops.
Normalisation turns messy sources into consistent “signals” the OS can reason over.
Event + time-series + incident streams support both real-time alerts and longer-term diagnosis.

Connectors

Telemetry

Incidents

KPIs

Intelligence Layer

Agents maintain context across systems — not just one query at a time.
Correlation links symptoms to root cause (e.g. checkout failures ↔ payment timeouts ↔ script changes).
Prioritisation ranks work by impact, effort, and urgency.

Context

Correlation

Prioritisation

Action plans

Safe Execution Layer

Changes are staged, reviewed, and protected by backup/rollback.
Permissions + audit logs enforce governance.
Verification checks outcomes after deployment and rolls back if needed.

Staging-first

Approvals

Audit logs

Rollback

SYSTEM PERFORMANCE

Proof beats promises

Real outcomes from live customer deployments.

Get a tailored walkthrough

Customer Stories

DETECTION LATENCEY

< 2 mins

From signal to alert on critical incidents.

DATA MIGRATION

< 15 mins

20k Products migrated with all variants and images.

ORGANIC TRAFFIC UPLIFT

+25%

Growth in organic reach following optimisations.

PAGE SPEED / CORE WEB VITALS

+15 pts

Typical uplift after targeted performance fixes.

Vortex IQ agent framework

It’s not “run a prompt”. It’s a loop.

Agents maintain context across sessions and systems so they can reason about change over time and across your stack. That’s how you get “fixes” rather than “answers”.

Observe
(signals, anomalies, failures)
Remember
‍(what changed, what happened before)
Reason
‍(correlate root cause and impact)
Act
(deploy changes safely)
Verify
(measure outcome; rollback if needed)

Governance built in

The optimisation loop is governed end-to-end: observe, act, verify, and prove it. No silent changes. No hidden automations. Just accountable execution.