Offer

What you get

AI Marketing Operating System

We install one to five repeatable marketing workflows with durable context, practical checks, human approval, and a visible operating rhythm.

AI Marketing Operating System preview
1to 5 live loops
20to 30 test cases
Namedoperator
30day adoption

Why it matters

Turn repeated marketing work into an operating loop your team can run, inspect, approve, and improve without starting from a blank chat.

Founder led teams of up to five people with repeated marketing work, a named operator, and real examples ready for testing.

At a glance

  • from EUR 499
  • Starter, Growth, Full OS packages
  • Offer
  • 7 included components

Modules

How the system comes together.

Each component has a clear job, so you can move through the work without losing the decisions that matter.

01

Choose

Choose repeated work with a clear owner, enough volume, and a useful business outcome.

02

Context

Create durable files for positioning, audience, offers, voice, evidence, boundaries, and approved examples.

03

Build

Define the trigger, inputs, steps, destination, owner, and human decision for each operating loop.

04

Evaluate

Test real examples with hard fact checks and focused judgment checks before the workflow goes live.

05

Operate

Give the operator a runbook, approval queue, exception view, and a simple weekly review rhythm.

06

Improve

Turn corrections, failures, and new customer signals into better context, checks, and decisions.

Operating loop

Every workflow has a visible path from signal to outcome.

The tool can change. The operating logic stays inspectable, owned, and useful to the next decision.

01 Signal

A real event or repeated task starts the work.

02 Context

The workflow reads approved business and brand files.

03 Work

AI prepares a bounded output at a defined destination.

04 Checks

Facts and quality are tested against explicit criteria.

05 Approval

A named person makes the decision that matters.

06 Outcome

The result and next decision return to the system.

Reliability

Quality is part of the workflow.

Good output is defined before volume increases. Real failures and corrections improve the same system.

Control 01

Evidence before confidence

Material claims need a source. Unknown information stays marked as unverified.

Control 02

Human judgment stays visible

Publishing, customer contact, positioning, pricing, and sensitive decisions require a named approval.

Control 03

Exceptions over activity

The system surfaces failed runs, broken connections, weak output, and waiting decisions instead of rewarding volume.

Proof

Measure use and outcomes, not output volume.

The baseline is agreed before installation. The 30 day review shows what the team used, where the loop failed, what improved, and what should change next.

Success measures

  • Operator adoption and supervised run rate
  • Time from trigger to approved output
  • Failed runs, exceptions, and correction rate
  • The business outcome attached to the workflow

Operating boundaries

  • No autonomous publishing or outreach by default
  • No unsupported performance or revenue promise
  • No permanent custody of client credentials
  • No enterprise integration or custom software inside the fixed packages

Included

A focused package with a clear purpose.

Use the complete system or begin with the component that solves your most immediate bottleneck.

  • Workflow and stack audit
  • Versioned context and brand files
  • One to five operating loops
  • Fact and quality checks
  • Human approval rules
  • Exception and run log
  • Operator training and 30 day adoption plan