From idea to send without lifting a finger? — Stripo.email

Over the past few years, you may have become accustomed to turning to AI-powered tools for specific email marketing tasks, but a new challenge has emerged: AI agents. These agents are expected to be able to create emails from scratch to deliver and control automation, speed up all processes, and increase the personalization of all messages.

That sounds great, but let’s figure out how realistic this is. Better yet, what email marketing tasks can be delegated to AI agents? What is the difference between AI models and AI agents, and how can you start integrating AI agents into your teamwork?

Key takeaways

1. AI Agents are autonomous decision-makers that learn and adapt while executing the steps needed to achieve a goal.
2. Adoption is already happening — many SaaS companies are experimenting with agents to accelerate workflows and reduce routine workload.
3. In email marketing, the logic of agents is clear: they can take on repetitive tasks, act as supportive teammates, and help marketers focus on strategy and creativity.

The concept of AI agents: How are they different from prompts or models?

AI agents in marketing workflows are gaining popularity in 2025, and here’s why.

Until recently, we worked mainly with language models: ChatGPT, Gemini, Claude, and others. Each offered powerful tools, but the standard way to use them in email marketing was simple — you gave the model a prompt, and it performed a narrow, well-defined task.

AI Agents have become a step forward, since they are artificial intelligence that makes decisions and acts independently when achieving a goal, imitating human autonomy, and continuously developing through machine learning. That is, we are not talking about performing small, specific tasks described by the prompt but about the goal that they achieve by performing a certain flow of actions. What this flow will be is decided by the AI ​​agent itself.

Agents are already more or less organized sequences. For example, if you are a researcher, your work consists of several sequential tasks: planning, researching a topic, selecting materials, and so on. You will create a draft, then analyze it, check it, and present it, performing a particular flow. The agent completely closes this flow from beginning to end, just as if you were doing it as a person. 

For example, an agent in copywriting using AI will include research, preparing an outline, critical analysis, evaluating this outline, adding ideas, making the first version, commenting, preparing the final version, and publishing. The agent can cover not only writing the text, as before, but also more than that.

Using AI agents is already making employees more efficient and creative, leading companies to consider using them for various tasks. Take a look at this data:

• by 2028, 33% of enterprise software applications will incorporate agentic AI, up from less than 1% in 2024;
• 77% of employees say AI enhances their productivity;
• 90% of companies report significant improvements in workflow after adopting generative AI agents.

Impressive? Then let’s look at how you can use AI agents in marketing in general and integrate them into email marketing processes.

Examples of AI Agents in SaaS products

SaaS platforms in the marketing sphere launch and constantly improve AI agents to make the work of their customers convenient and efficient.

Here are some examples of different SaaS projects that demonstrate in what different areas of marketing it is possible to use agents:

• Grammarly now has the ability to use 8 AI Agents for writing texts in the Docs workspace. Each agent performs a specific task, for example, predicts reader reactions and evaluates the text according to criteria, formats quotes, checks style, corrects the tone and clarity of the text, identifies AI, checks for plagiarism, and paraphrases;
• Adobe Marketo Engage (part of the Adobe marketing suite) offers marketers the opportunity to automatically generate content for emails, messages to attract an audience, chatbot responses, and webinar reviews using AI agents;
• Lyzr, a SaaS solution powered by marketing AI, has introduced a content generation agent so that customers can autonomously create SEO-optimized blog posts, newsletters, and ad copy in multiple languages;
• HubSpot has introduced the Breeze AI suite of tools, which includes Breeze agents, AI-powered experts built into HubSpot’s CRM system. Using these agents, you can write blog posts, generate landing pages, and enhance personalization of emails and ad campaigns in real-time;
• Salesforce offers Agentforce, an AI-powered agent builder that allows marketers to create customized agents that will manage campaigns, automatically create branded content for each target audience, and even segment audiences using AI;
• Include.me, a no-code sales funnel builder, launched a beta version of a conversational AI agent in 2025. It can create entire sales and marketing funnels with simple prompts. Customers can communicate with the agent to develop multi-step landing pages, tests, or calculators.

As you can see, SaaS projects are developing and offering the opportunity to use AI agents to improve the efficiency of various processes. What awaits us in email marketing?

How AI Agents can work in email marketing 

AI agents in email marketing perform different roles in creating email campaigns and automating their sending. To do this, they must be able to evaluate the context and make informed decisions for each of the tasks.

AI agents in email marketing can be used for the following groups of roles:

• email production — all tasks related to creating emails, from collecting data and writing texts, to creating a layout in an email builder and conducting A/B testing;
• automated email distribution — deciding which email to send next, whether to pause or stop sending emails to recipients, Forecasting and scheduling emails based on the most likely interaction time with each recipient;
• email personalization — tasks related to optimizing a campaign based on changing data on interaction with subscribers without the need for manual updates;
• subscriber management — data collection and segmentation tasks, maintaining email lists, managing subscriptions, and unsubscribes.

How AI agents can integrate into the email production process

Finding a way to integrate AI agents into email marketing processes as seamlessly as possible is the next thing to look at, right after developing the agents themselves. Here are a few potential options, but the list is not exhaustive.

Creating an AI Agent that works like a person

You create an AI agent in ChatGPT and set it a goal to create an email in the email builder. For example, we created an AI agent in ChatGPT and set it a task to build an email in Stripo.

To perform the task, the AI ​​Agent opened a browser on the local computer and used it like a human. The process took place using API requests. Some trigger was triggered: the agent sent a request and received a response with information on what to do.

Next, the emulation of using the web interface begins. The agent scans the screen every few seconds, tracks changes, and performs actions using the mouse and keyboard at its disposal. It understands where to click to perform an action and get a result.

It follows this flow of actions like a real person: creates the structure of the email, adds a banner, and writes the text.

In our experiments, the ChatGPT-based agent was not able to successfully complete the task. However, it was able to follow the basic flow of a person’s actions. This means that while there is potential, this approach still has limitations, and the flow needs to be accurately and smoothly executed.

Building an AI Hub Agent to coordinate other agents

You can create an automation system that includes several members of an AI agent team. Each agent will perform specific tasks in creating, managing, and automating emails.

The main agent acts as a central hub for the entire AI team. It coordinates tasks between agents, ensuring that they work together smoothly. This agent is useful because it can manage multiple projects at once, ensuring that different marketing campaigns or newsletters are processed efficiently.

The hub then processes this information and delegates tasks to the appropriate agents, just like a project manager would do in a real team.

These can be agents that you assign to different stages of creating an email campaign or newsletter, such as audience research and briefing, email layout suggestions in a drag-and-drop editor, and text and visual generation. You can also include individual agents in this hub who will schedule the mailing in the ESP, monitor the sending, and then collect and analyze performance data.

This separation of roles allows your “team” of AI agents to create and send emails with greater confidence that they will work correctly at every stage.

Using an AI Email Assistant

While the development of full-fledged AI agents for email production is still in progress, you can use Stripo’s AI Email Assistant. This is more than just an AI model; it allows you to perform complex tasks like thoroughly preparing email texts and creating emails in the Stripo editor. Then you need to finalize the email without building it from scratch.

Stripo’s AI Email Assistant helps you build emails faster by automating routine tasks, allowing you to focus on strategy and results. You can also control customization to ensure that every message fits your brand perfectly.

Over time, it will definitely become more intelligent and independent, which means it will save you more time by taking on routine tasks.

Current limitations on using AI Agents

Of course, we would like to make email AI agents part of our team, “colleagues” who help team members focus on strategic work and assign them various tasks. But while AI agents are still in the early stages of technology development, they cannot handle complex tasks.

There are also limitations and challenges:

1. AI agents need context and feedback, and we need to find a way to provide them with this context without spending more time on it than on the email campaign itself.
2. Agents need to understand your internal processes, so like a new employee, an AI agent needs onboarding. It needs to understand your workflows, the order of operations, quality requirements, and how your team interacts.
3. An email marketer must oversee all stages. Trusting agents directly to prepare and send an email is risky. A safer approach is to let them prepare the email for sending, leaving the final approval to employees.

Wrapping up

The use of AI agents in email marketing is a reality that marketers need to prepare for and start learning about this tool and its capabilities. AI agents will not replace email marketers, but will become their assistants. How realistic it is to transform this assistant from a junior specialist who requires too much attention and control into a strong intermediary who “knows what he is doing” remains to be seen.

Is it worth starting to use AI agents today? Yes, but start small: choose low-risk, repetitive parts of your email process and train agents to understand your brand and goals. The future of email marketing may not be fully automated, but AI agents will likely become part of your team.