From Assisted Marketer to Augmented Marketer: The New Human-AI Collaboration Deciphered

After discovering the occasional assistance of artificial intelligence to generate some content or email subjects, marketing teams are now taking a decisive step: that of the augmented marketer (AI-Augmented). This step marks an important turning point where the software stops imposing its user manual and adapts naturally to the needs of the user.

But how does this new collaboration between the human brain and the machine fit together in concrete terms? What is now intelligent automation, and what must necessarily remain under the supervision of the marketer? For Arthur Lacroix, Head of Product Marketing at imagino, this revolution is based on a solid architecture and a philosophy of total transparency.

Marketer and Artificial Intelligence: what is the new distribution of roles?

For a long time, using a marketing platform required training in its logic, menus, and constraints. With Imogen, this dynamic is reversed. Artificial intelligence now takes care of all operational complexity: it explores databases, builds audiences, generates complex queries, and prepares engagement journeys. However, AI in no way absolves the marketer of their responsibilities. Humans remain the sole guarantor of the intent, strategy, tone of the brand, and final business objectives.
“While AI considerably increases the marketer’s capacity for action and velocity, it does not replace the critical judgment provided by their expertise”.

Augmented Marketer in Action: From Idea to Action in Less Than an Hour

To illustrate the power of this new paradigm, let’s take a common use case: the replacement of a long-standing expert of the company by a new employee who knows neither the structure of the database nor the imagino software. Thanks to a fast connection via the MCP protocol, they can query the platform via an external AI client (such as Claude for example). In five minutes, the AI generates a complete dashboard on the state of the database (active, inactive, opt-ins).

Seeing that majority of the database is inactive, they decide to launch a reactivation campaign. In less than an hour, and without any prior knowledge of the tool or the history of actions, the marketer can understand their database and create a complex multichannel campaign. Where it used to take months for a newcomer, AI allows them to get up and running much faster, prevents handling errors and executes intentions instantly.

Towards the agentic platform: the AI-Powered stage

Today, we are in an AI Decisioning logic: AI predicts and recommends the Next Best Action, but it is the human who decides and validates. Tomorrow, the final stage will be that of the agent platform (AI-Powered), where the tool will continuously pursue business objectives (engagement, loyalty, conversion) autonomously.

Be careful, however, marketing without a marketer is an illusion. The autonomy of the tool will require human effort of unprecedented precision with the rigorous definition of “guardrails”.
“The marketer of tomorrow will no longer spend his time setting up campaigns, but configuring the maximum budget, the rules of commercial pressure and the thresholds for achieving objectives that will guide the agentic AI in complete security”.

How does AI collaborate concretely with augmented teams in 2026?

At imagino, the engine behind this augmented phase is our artificial intelligence layer Imogen. Rather than acting as a simple, passive or disconnected assistant, Imogen is truly the pilot of the Customer Engagement Platform (CEP), and transforms the marketer’s intent into a smooth execution. To collaborate effectively with teams, Imogen relies on the MCP (Model Context Protocol) standard. This protocol acts as a secure bridge allowing any major AI model (Claude, Gemini, OpenAI, Mistral or Snowflake Cortex) to connect to the company’s data.

But Imogen’s real strength lies in its ability to drive a continuous engagement loop. AI analyses signals in real time, recommends the best action and activates the journey across all channels. Above all, Imogen is based on three essential cores: real-time data (to act at the right time), security (trusted foundations of the platform) and governance (to maintain control). The latter makes it possible to define strict access (read-only or write) according to the user’s profile (a junior marketer versus a manager, for example) and the scope of their tasks.

Does Artificial Intelligence signal the end of technical skills (SQL, HTML)?

With the ability to query data in natural language via a simple chat interface, you might think that technical profiles no longer have a place. This is a mistake. At imagino, the philosophy is clear: No Black Box. In other words, all the features for which AI is used remain fully editable by experts, there is no locked code generation.

Keeping control of the raw code (SQL, HTML) is necessary to ensure that the different generations of users coexist, but above all to meet two major imperatives.

• Auditability and compliance : in the face of GDPR and the evolution of European regulations on AI (AI Act among others), a company must always be able to open the hood and demonstrate exactly how a result or a targeting was produced. If the code is not editable, the software opens a compliance gap.
• Creativity and differentiation : tomorrow, all companies will have access to the same velocity thanks to AI. The real competitive difference will be made by the ability of experts to free themselves from algorithmic limitations. Adjusting a detail in HTML or adjusting specific targeting criteria allows you to impose your own creative vision, where the tool standardises.