Choose one marketing workflow first, then an AI agent

By Pascal Bouman··3 min read
B2B marketing team redrawing an organisational design around AI agents

Choose a workflow, not a function

The logical first step is to select one recurring marketing workflow, rather than assigning an entire function or department to an AI agent. Think of preparing a campaign brief, organising research input, or consolidating feedback. The Chartered Institute of Marketing source describes the marketer in this context as someone who designs and manages systems in which agents, platforms, data, and creative assets come together. That supports a work-design question, not a promise that agents replace roles. The IAB Europe passage also places AI in planning, creation, data analysis, and workflow automation across the advertising supply chain. For a B2B team, the useful scope is therefore: choose work that recurs frequently, has a recognisable handoff, and whose desired outcome can be assessed in advance.

Map the handoff before you automate

For that one workflow, make clear who provides input, where a decision is made, who receives the output, and which check must not disappear. This prevents an agent from merely producing extra drafts or summaries without anyone knowing what to do with them. The supplied passages describe general developments around AI in marketing and advertising; they do not prove that a specific agent, workflow, or organisational structure performs better for your B2B team. Use the passages as design guidance, not as evidence of results. The test question remains: can the agent prepare work within an existing quality check, or is execution responsible because the owner, criteria, and escalation path are clear?

Process map for assessing where AI agents fit into marketing work

Use a decision log for the first trial

Do not use a broad rollout as the first step. Choose one workflow and document for each round what the agent prepared, which check the owner performed, and which follow-up decision resulted. For this workflow, record the source, owner, quality check, and follow-up decision before assigning the task to an agent. This makes the difference visible between useful preparation and work that still requires human assessment. If the outcome remains unclear, narrow the task or restore the handoff; do not scale up just because the output sounds convincing.

Further reading

Your personal AI research team

Developments move too fast to keep up with everything yourself.

You need a research team that tracks changes, checks sources and decides what matters for your work.

Choose what you want to follow and receive only the updates that matter to you.

Updates tailored to your interests
Researched by specialist agents
Relevant insights, not daily noise

What do you want to follow?

You receive a confirmation email first and only join after clicking it. See the privacy policy.

Latest articles

Recent knowledge base articles selected for this page.