Turn a repeated marketing task into a usable workflow.

Start with the task, not the model

Good candidates have repeatable inputs and a clear quality standard: turning approved source material into a campaign brief, assembling an evidence-backed reporting narrative, or preparing a research summary for human review. First compare the proposed workflow with the manual process.

This is not a promise of autonomous marketing. Sensitive decisions, publishing, spend changes and customer communications need explicit approval boundaries. A task without dependable inputs or a review owner may not be ready for automation.

What you receive

• A workflow brief identifying inputs, outputs, permissions and human approval points.
• A scoped working implementation or prototype, with the delivery level agreed in advance.
• A reusable prompt and output format with synthetic or approved test examples.
• A quality rubric, failure handling and handover guide so the team can operate the workflow.

What to bring

Bring one task, how often it occurs, an example of a good output and the systems the team is allowed to use. Start with anonymised or synthetic inputs. We agree data handling, access and tool costs before connecting anything. A new paid subscription is never assumed.

A practical example

Illustrative workflow: turn an approved campaign brief and aggregate results into a draft weekly review. The workflow flags missing evidence, separates observations from recommendations and sends the draft to a human reviewer. It does not silently publish, change budgets or invent explanations for a metric movement.

Evaluate usefulness, not just token savings

The proposal defines one workflow, integrations, acceptance examples, review owner, delivery milestones and fee. Evaluate output quality, reviewer effort, failure rate and operating cost against the existing process. Faster generation is not a saving if checking takes longer.

Model or API charges, enterprise security certification, unrestricted access to customer data and 24/7 maintenance are not included by default. Any ongoing support is agreed separately. No specific time saving, model performance or cost reduction is promised.

Supporting material

• Read the AI marketing workflow guide
• Explore Jev, Cowork and Codex
• Try the free prompt library

Tell me what you need to change.

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