AI Agents in email marketing: From “idea” to “send” without lifting a finger?

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

That sounds great, but let's figure out how realistic this is. Better yet, which email marketing tasks can be delegated to AI agents? What is the difference between AI models and AI agents, and how can you begin 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, you worked mainly with language models: ChatGPT, Gemini, Claude, and others. Each of these provide powerful tools, but the standard way to use them in email marketing has been simple — you give the model a prompt and it performs a narrow, well-defined task.

AI agents go one step forward — they make decisions and act independently to achieve a goal, thus imitating human autonomy; moreover, they develop continuously through machine learning. In other words, we are not talking about performing small, specific tasks described by the prompt but about the goal achieved by performing a certain flow of actions. This flow is independently decided by the AI ​​agent.

AI agents are already more or less organized sequences. For example, if you are a researcher, your work probably 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, thereby performing tasks in a specific flow. The AI agent assumes complete responsibility of this flow from beginning to end, just as if you were doing it as a person. 

For example, if we decided to create an AI agent used for content writing, it would perform research, prepare an outline, provide critical analysis, evaluate this outline, add ideas, create the first version, prepare the final version, and publish. Thus, an AI agent does a lot more than merely writing the text, as it did earlier.

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

• by 2028, 33% of enterprise software applications are forecasted to 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 the use of AI agents in SaaS products

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

Below are a few examples of different SaaS projects that demonstrate the different areas of marketing in which it is possible to utilize AI agents:

• Grammarly now has the ability to use eight 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 use, checks for plagiarism, and paraphrases;
• Adobe Marketo Engage (part of the Adobe marketing suite) provides marketers the opportunity to automatically generate content for emails, messages to attract audiences, 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’s Breeze AI suite of tools, which includes Breeze agents, are AI-powered experts built into HubSpot’s CRM system. Using these agents, you can write blog posts, generate landing pages, and enhance the personalization of emails and ad campaigns in real time;
• Salesforce’s Agentforce is an AI-powered agent builder that enables marketers to create customized agents that manage campaigns, automatically create branded content for each target audience, and even segment audiences using AI;
• Include.me is a no-code sales funnel builder that launched a beta version of a conversational AI agent in 2025. It can create entire sales and marketing funnels with simple prompts. Moreover, customers can communicate with the agent to develop multistep landing pages, tests, or calculators.

Thus, as is evident, SaaS projects are developing and offering the opportunity to use AI agents to improve the efficiency of various processes. What awaits you in email marketing?

How can AI agents work in email marketing? 

In email marketing, AI agents perform different roles in creating email campaigns and automating the sending of emails. To do this, these agents 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, as well as 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 can AI agents be integrated into the email production process?

Immediately after developing the agents themselves, finding a means to integrate AI agents into email marketing processes as seamlessly as possible is the next thing to look at. Below are a few potential options, but this list is not exhaustive.

Creating an AI agent that works like a person

You create an AI agent in ChatGPT and set a goal for it to create an email in your email builder. For example, we tried to use the existing AI agent functionality 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. When a trigger was set off, the agent sent a request and received a response with information on what to do.

The next step was the emulation of using the web interface. The agent scanned the screen every few seconds, tracked changes, and performed actions using the mouse and keyboard at its disposal. It understood where it needs to click to perform an action and obtain a result.

The AI agent followed this flow of actions like a real person: create the structure of the email, add a banner, and write the text.

In our experiments, the ChatGPT-based agent was unable to successfully complete the task. However, it was able to follow the basic flow of a real person’s actions. This indicates that while there is potential, this approach has limitations, and the flow needs to be accurately and smoothly executed.

Building an AI hub agent to coordinate with other agents

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

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

The hub then processes this information and delegates tasks to the appropriate agents, just like a real project manager would do in an actual 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 that will schedule the mailing in the ESP, monitor the sending, and then collect and analyze performance data.

This separation of roles enables your “team” of AI agents to create and send emails with greater confidence that the emails 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 assistant is more than merely an AI model — it enables you to perform complex tasks, such as preparing thorough email texts and creating emails in the Stripo editor. All you need to do is finalize the email, without building it from scratch.

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

Over time, the email assistant will definitely become more intelligent and independent, which implies that it will save you more time by taking on routine tasks.

Current limitations of using AI Agents

There is no doubt that it would be great 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 a few limitations and challenges in this regard:

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. AI agents need to understand your internal processes; thus, 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. Directly trusting AI agents to prepare and send an email is risky. A safer approach is to let the agents prepare the email for sending, leaving the final approval to actual employees.

Wrapping up

The use of AI agents in email marketing is a reality that marketers need to prepare for; thus, it is important to begin learning about this tool and its capabilities. AI agents will likely 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 it to begin using AI agents today? Yes, but begin small: select low-risk, repetitive parts of your email process and give agents context to understand your brand and goals. The future of email marketing may not be to become fully automated, but AI agents will likely become an integral part of your team.