AI agents for events: what they do and what to control

An AI agent for event management is a system that takes a task from the organising team, decides which steps to take, consults the information and tools you have given it access to, and hands you back a result to review. The task can be as specific as “prepare the production briefing with what was agreed this week”. Today it handles the work of gathering and drafting well: the agreements that stay in a meeting or an email, and the first draft of a proposal or a report. What you need to decide beforehand is what it can touch, what needs your approval and where it gets each piece of information.

Take a fictional case. It is Tuesday, 19:40, and Lucía comes off a call with the client of a June conference: they want more networking, the closing session moves to the morning and someone has to check whether the venue’s courtyard can take a marquee. First thing tomorrow, Pablo has to send the briefing to production, and Pablo was not on the call. That gap between what gets said and what reaches the documents is where an AI agent earns its keep, or where it becomes clear you do not need one.

Agent, chatbot and ChatGPT: how they differ

An AI agent works for your team on the project’s information and takes several steps on its own to complete a task; an event chatbot answers attendees’ questions, and a general-purpose assistant such as ChatGPT drafts with whatever you paste into the conversation.

The word “agent” is now used for almost everything, so it helps to have a definition you can check. Anthropic, the company that develops the Claude model, distinguishes between systems that follow a path set in advance and agents, in which the language model (the part that understands and writes text) directs its own process and decides which tools to use ^[1]. Applied to an event: you do not tell it “open the inbox, find the client’s message, copy the schedule”. You tell it what you need and it decides what it has to consult.

	Event chatbot	General-purpose assistant (ChatGPT and similar)	AI agent for the team
Who it works for	Attendees	Whoever opens the conversation	The organising team
What it knows	The event information you load into it	Whatever you paste into that chat	The project documentation and the sources you connect
What it does	Answers questions: timings, transfers, badges	Drafts, summarises, translates	Gathers information from several sources, organises it and prepares a result
What it gives you	An answer on the attendee’s phone	A text you have to take somewhere else yourself	A document or a change that someone reviews
What happens the next day	It knows the same until you update it	You start from scratch in another conversation	The context stays in the project for the next task

The last row is the one your team will notice most. When each person works with their own chat, Lucía has the call and Pablo has the briefing, and nobody copies one into the other. We go into more detail in how to share your events’ context when the whole team uses AI.

What many people call an “AI assistant for event planners” can be either. The difference is whether it only drafts what you give it or whether it completes the task with the project’s context.

Which tasks it can take on for the organising team today

An AI agent copes easily with tasks that involve reading a lot, organising what it has read and drafting a first result. It struggles with those that depend on a negotiation, on commercial judgement or on something only one person knows and that is not written down anywhere.

Capturing agreements from meetings and emails

What gets agreed on a call usually lives in the head of whoever was there and, with luck, in a transcript nobody opens again. An agent with access to that meeting and to the project’s emails can pull out what changes the work: the closing session moves, the client prioritises networking, the marquee is still to be confirmed.

The hard part is not transcribing. It is telling what has been agreed from what has been mentioned. “The client asks whether the dinner can be extended” and “the client approves extending the dinner” sound similar on an hour-long call, and in the budget they are two very different things. That is why what you should ask for is that every agreement carries a note of where it comes from.

Keeping the project documentation up to date

An event’s documentation dies in the middle of production, when nobody sits down to update it. An agent can take in what arrives (yesterday’s meeting, the new venue floor plan) and keep the project status current without anyone having to write it up.

Where you appreciate it most is a year later. Someone asks which AV supplier the previous edition used and whether there were any problems, and the answer is in the debrief, with its date, even if the person who wrote it has left the team.

Preparing briefings, proposals and reports

With the agreements and the documentation in order, the agent can draft the work that follows from them: the production briefing with the client’s changes, a proposal built on their priorities and constraints, the wrap-up report with the lessons for the next edition. It is a draft with the full context, which someone on the team reviews before sending it.

Back to the example: at 8:30 Pablo opens the briefing the agent has prepared. It has the closing session in the morning, networking as the priority and one line flagged as pending: “confirm with the venue whether the courtyard can take a marquee”. Pablo corrects a build-up time the agent took from an old version of the floor plan, and sends it.

What we would not hand over yet

There are tasks an agent can carry out that we would not let it do on its own: confirming a quote with a supplier, replying to the client on your behalf, cancelling or changing a registration. We explain how to tell them apart in why answering a question and changing a registration do not carry the same risk: the harder a mistake is to undo, the more sense it makes for a person to approve first.

What to control before giving it work

Three things: what information and which tools it can use, which actions need a person’s approval and how you check where each piece of information comes from. OWASP, a foundation that publishes lists of software security risks, describes the underlying problem as “excessive agency”: a system with more functions, more permissions or more autonomy than it needs can end up doing something harmful even though nobody asked it to ^[2].

Permissions: what it sees and what it can touch

An agent should see what it needs for the project it is working on, and nothing else. If Pablo is running one client’s conference and another client’s incentive trip, what was discussed on the second should not end up in the proposal for the first. The recommendation is to limit permissions to the minimum necessary ^[2], and at an event that turns into very specific questions: can it read all the company’s email or only the project’s? Can it write to the attendee spreadsheet or only look at it?

Human approval: what does not go out without someone looking at it

Preparing and sending are two different permissions. An agent can draft the email to the client with the programme change and leave it ready; sending it is another decision, and a person should approve high-impact actions before they are carried out ^[2]. Anthropic describes agents that pause at checkpoints to ask a person for guidance ^[1].

For your team, the practical rule: anything that commits the company or the agency to a client or a supplier goes through someone with a name.

Sources: where each piece of information comes from

An AI agent can misread a conversation or take a detail from an out-of-date document, like Pablo’s build-up time. You cannot ask it never to make a mistake. You can ask for what is verifiable: that every detail in the briefing shows which meeting or which email it comes from, and that there is a record of who requested each change.

There is a less obvious risk. An agent that reads emails and documents also reads what other people write in them, and an external text can contain instructions the model mistakes for a task from you; OWASP calls this indirect prompt injection ^[3]. It is another reason why the agent should not be able to send or pay for anything without approval, however convincing the email it has read.

To start, pick one specific project and one task that costs you effort today, such as the briefing or the wrap-up report.

How we solve it in EVA Brain

EVA Brain is our product for this work: it brings what the team discusses, agrees and learns into a shared memory in the cloud, separate for each project. Information comes in through the sources you connect: you can invite EVA to a meeting, where it listens, transcribes and takes what was said into the project’s memory, and you can add emails and documents with their original sources. Its agents organise that knowledge, update the documentation as new information arrives and use that context to prepare proposals, briefings and reports adapted to your brand; you will find the detail in the work you can ask it to do.

Control decisions are made per project. Each one has its own space and you decide who has access to it, what information the system takes in and which tools the agents can use. The history keeps a record of who requested each change, when it was added and which source it comes from, with previous versions available for review. The EVA Brain page shows how it works with a sample project, and EVA Brain permissions and control covers spaces, permissions and history in detail.

Common mistakes

Giving it access to everything just in case

Connecting all the company’s email and every shared folder looks like the easiest option. The result is an agent that mixes up clients and may take another account’s budget as its starting point. Start with one project and the sources that actually contain its agreements.

Treating a possibility as an agreement

This is the hardest mistake to spot, because the resulting document reads well. The client mentioned the marquee and the briefing treats it as confirmed. You find out when production asks a supplier for a quote on something nobody has approved, and you avoid it by requiring the agent to separate what is confirmed from what is pending, and the team to review it before it leaves the project.

Approving without reading

If every draft the agent prepares is approved with one click, human approval exists on paper and nowhere else. It happens above all in event week, when everything is urgent. Decide which documents get read in full (those going to the client, always) and which only need a skim.

Buying an agent without seeing it complete a task

The “agent” label does not guarantee the product does more than answer questions. Ask the supplier to show you a complete task with your own documents: what it consults, what it delivers and what it records.

Sources

Building effective agents, Anthropic (19 December 2024): the distinction between systems with a predefined path and agents that direct their own process and tool use, and the checkpoints with human intervention.
LLM06:2025 Excessive Agency, OWASP Gen AI Security Project: the risk of giving a system more functions, permissions or autonomy than necessary, the recommendation to limit permissions and to require human approval for high-impact actions.
LLM01:2025 Prompt Injection, OWASP Gen AI Security Project: indirect prompt injection through external content such as web pages or files.

Frequently asked questions

Does an AI agent for events replace someone on the team?

Not in the sense of filling a role. It takes away the work of gathering information and writing first drafts, which is exactly what eats up the evenings in the middle of production. Decisions and the client relationship stay with the team.

How much work is it to get it up and running?

In the first few weeks you review almost everything it delivers, line by line, and correct the source when something is misread. With what you learn from that review, the team decides which documents still need reading in full and which only need a skim.

Can it send emails to the client on our behalf?

Technically, an agent with access to email can do it. We recommend that it prepares the email and that a person sends it, because a commitment to a client is hard to undo.

Does it work if we use several agencies or if the team changes every edition?

It is one of the cases where it makes the biggest difference. If the project documentation is kept up to date with its sources, whoever joins can look up the agreements, the suppliers and the lessons from previous editions even if they were not there. That knowledge should stay in the project, not in the head of whoever managed it.