Agentic Marketing

At IVIS MEDIA, agentic marketing applies our AI consulting and AI automation to marketing processes. We start by assessing your use case and whether a fixed workflow is enough or an AI agent adds real value. Then we agree the next step together: consulting, a bounded test or implementation.

Conventional automation follows predefined rules. Within set boundaries, an agentic process can select its next steps or tools in response to intermediate results. Neither is the same as asking for a single piece of draft copy. In marketing, an agentic process suits tasks such as preparing and checking information for a brief or report. Whether it is right for your case only becomes clear once we look at the actual process.

So we begin with the task: what are you trying to achieve, and which specific step repeatedly takes time? Where do the inputs come from, who checks claims and figures, and which actions must remain subject to human approval? If a simple fixed workflow solves the problem reliably, an additional agent is not a goal in itself.

This is how an agentic process can be set up. Both examples follow the same principle: the agent prepares, your team decides.

Weekly draft report

• Input: read access to approved analytics and advertising accounts and the metrics your team reviews regularly.
• Agent: collects the figures, compares them with the previous week and with targets, looks for anomalies and writes an annotated draft with a source for every figure.
• Approval: your team reviews anomalies and interpretations, adds context and signs off the report.
• Result: a traceable report, without the agent changing anything in the accounts.

Campaign brief

• Input: a short description of the goal plus approved information such as product data, past campaigns and audience descriptions.
• Agent: analyses the information, suggests messages, channels and content variations, and flags open questions and missing details.
• Approval: your team decides on content, budget and publication.
• Result: a structured brief that your team or agency can work from.

Before an agent is built, we check whether it pays off for your process. We do this in five steps:

• Define the use case: what inputs and outputs can be described clearly, and what is done manually today?
• Compare approaches: would fixed automation suffice, or could dynamic selection of steps add something useful?
• Set review points: which claims and metrics need sources, independent checks and specialist sign-off?
• Clarify prerequisites: what data may be used, which systems and interfaces are involved, and what minimum permissions would an agent need?
• Agree the next step: planning, a bounded test with one use case or implementation. Scope and cost are agreed with you individually.

Each step ends with a result that lets you decide whether to continue. You do not have to book a fixed package.

Agentic marketing is aimed at marketing leads and teams in performance marketing, digital marketing and marketing operations who want to improve a recurring process. Content, CRM and e-commerce teams often have suitable use cases too.

If you do not yet know whether you need an agent at all, that is a good question for an initial discussion. Tell us what the task is and where checks, handovers or decisions are currently difficult. You do not need a particular tool, platform licence or prior AI experience.

Describe the recurring task and your main question in the free-text message field. Please do not send passwords, account access or sensitive customer data.

A fast draft is not necessarily a usable result. That is why we measure a test against criteria agreed with you beforehand: factual errors, rework, time including review and running tool costs. This shows whether an agent pays off for your process before it is used permanently. We make no blanket promises about time savings, revenue, ROI or ROAS.

For external communications, personal data, CRM write access, campaign changes and budgets, the rule is: the agent prepares, your team approves. For every engagement we explicitly define ownership, permissions, technical safeguards, data flows, stop conditions and human approvals. This is not a substitute for legal review.

AI consulting covers AI strategy, suitability and roadmaps for organisations. AI automation addresses processes, systems and their technical implementation. Agentic marketing applies both to marketing processes: understand the task and its review points first, then choose the right approach and agree the next step together.