AI Agents: What They Are and How They Can Transform Corporate Events

What are AI agents?

Artificial intelligence has evolved over the years, and its changes are becoming faster and more effective. Today, AI can plan your tasks, connect with specific tools, make decisions within certain limits, and execute actions. This is what we call an AI agent.

AI agents are capable of working towards a specific objective. They can analyse information, divide a task into steps, use digital tools, and move forward until an action is completed, using reasoning, planning, memory, and a certain level of autonomy.

So, let’s divide this into four fundamental pillars:

Autonomy: This means they can make logistical decisions about which tools to use and in what order to achieve what we want.

Memory and context: They remember previous interactions and instructions, such as user preferences and corporate information, in order to offer a continuous and coherent service.

Planning: They break down large objectives into more manageable subtasks.

Multimodal and multi-tool capability: Agents can connect to APIs, business databases, send emails, or automatically analyse spreadsheets.

How do AI agents work?

AI agents work through a continuous cycle of perception, reasoning, and action:

The assignment / objective: It starts when you tell the agent what you need to achieve. This could be anything from “prepare a briefing for a client” to “organise this week’s meeting calendar”.

The data / context: To work properly, the assistant needs the right documents and information. This is where you give it access to whatever it needs: client emails, the history of past events, company templates, or your brand guidelines.

The strategy / planning: Instead of improvising, the agent stops to think and maps out a route. It decides: “First I will read this document, then I will extract the key data, and then I will draft the summary.” It knows which step comes next.

Its working tools: The agent is not trapped in a bubble. It knows how to use office technology: it can access the CRM, fill in an Excel sheet, check your Google Calendar, search the web, or leave a draft ready in your email.

Your approval / supervision: The agent does the heavy lifting, but you remain in control. It researches, organises, and prepares everything for you, but the final word — and the most important decision — is still yours. In fact, consulting firms such as McKinsey state that the companies that benefit most from AI are precisely those that know how to combine the power of the machine with human judgement and supervision.

How can we differentiate an AI agent from ChatGPT?

Many people discovered AI through conversational tools. In other words, we write a question and receive an answer. But AI agents work in a more operational way.

Aspect	ChatGPT	AI Agents
Main function	Responds to questions and generates texts, ideas, summaries, or analyses based on an instruction.	Execute more complete tasks based on an objective, following several steps.
Way of working	Works mainly in a conversational way: the user asks, and the AI responds.	Work in a more operational way: they receive an objective, plan actions, and move forward with the task.
Level of autonomy	Low or medium. It needs the user to indicate each step or refine the instructions.	Greater autonomy. It can divide a task into phases and decide what to do first, within certain limits.
Interaction with tools	Can help prepare information, but usually depends on the user to execute external actions.	Can connect with tools such as calendars, documents, spreadsheets, CRMs, email, or databases.
Type of task	Ideal for specific tasks: writing, summarising, translating, correcting, generating ideas, or explaining concepts.	Ideal for multi-step processes: organising information, reviewing documents, following up, or automating workflows.
Simple example	“Summarise this briefing for me.”	“Read this briefing, extract the needs, identify questions, prepare a checklist, and organise a first proposal structure.”
Dependence on the user	High. The user guides the conversation and decides the next step.	Lower. The agent can continue the process according to the defined objective.
Memory and context	Can maintain context within a conversation or depending on the tool’s configuration.	Can use memory, history, connected data, and rules to act in a more continuous way.
Planning capability	Can suggest a plan if asked, but normally does not execute it by itself.	Can plan, execute parts of the process, and adjust actions according to the results.
Application in events	Helps write posts, summarise briefings, create scripts, correct texts, or generate creative ideas.	Can support project management, task follow-up, briefing analysis, budget organisation, or post-event report preparation.
Main risk	Incorrect, incomplete, or poorly contextualised answers if the prompt is not well written.	Greater operational risk if it has excessive permissions or acts without human supervision.
Human supervision	Necessary to validate the quality of the response.	Even more important, because it can execute actions or influence real processes.
Summary	ChatGPT responds and helps you think.	An AI agent acts, organises, and executes tasks within a workflow.

How can AI agents be applied to corporate events?

AI agents do not create the project for you. In other words, they do not necessarily give you ideas for an event; instead, they execute tasks for you. We can divide the tasks AI agents can perform during a corporate event into three stages:

Before the event: Planning and invitations

The preparation stage is usually the most time-consuming, especially the office work. AI agents can carry out this work faster and in less time, helping with tasks such as:

Faster and more complete briefings: They can help you research the target audience, budgets, locations, dates, and more. They can even detect missing information or suggest questions.

Task planning and internal coordination: They can help create checklists, assign tasks, and generate reminders.

During the event: Attendee experience and real-time coordination

During an event, chaos is more likely to happen, but AI agents can become great allies.

Agenda management during the event: For example, if one of the event activities is delayed, an agent can automatically schedule notifications in the event app.

Event concierge: An agent connected to the event channel can intelligently respond to any unexpected questions or issues from attendees.

After the event: Success analysis

When the event ends, it is time to analyse the results. This is where AI agents can help us save time.

Feedback analysis: The agent can collect all the feedback from people who attended the event, such as satisfaction surveys or social media comments. Afterwards, it can draft a report for the company.

Automated follow-up: It analyses attendees and their behaviour, based on which talks they attended, whether they scanned a QR code or not, and other interactions. Based on this information, the agent sends follow-up emails with additional materials and leaves the commercial contacts ready in the CRM for the sales team.

Conclusion

Corporate agents are the future and a very useful tool for companies, as well as for personal use, because they change the way we coordinate, manage, improve, and optimise all kinds of activities.

In this case, focusing on corporate events, the future will not simply be more technological. It will be smarter, more personalised, and more connected to the real needs of each client.

At Nexo Events, that future is built through the union of design, strategy, production, and human experience.