4 questions before implementing AI in event organization
Implementing artificial intelligence in event organization can free up time for tasks that require human involvement. Katie McPhillips, marketing director at SmarterX, shared practical experience at the MAICON conference: an AI agent compiled a list of top-100 marketers for outreach while she handled other tasks. This is a vivid example of how AI helps without replacing humans.
Event organization is a complex process that includes planning, promotion, programming, and post-event activities. Each stage requires attention to detail and human judgment. But what if part of the routine could be delegated to algorithms? Let’s break down how the SmarterX team uses AI at each stage and what questions to ask before implementation.
Planning: AI brings back context for decision-making
McPhillips’ team tasked AI with gathering competitive data: analyzing websites, creating sponsor and package tables. This freed up time for more important tasks. AI also helped structure pricing and forecasting, despite MAICON lacking a proper history.
Now you can ask AI for data on past events and understand whether a change is a trend or a forecasting error. AI brings back context for decision-making that was previously unavailable due to unstructured data.
Promotion: the inbox remains human
McPhillips clearly defined the boundary: email is the most important channel, and she is not ready to send clients messages that don’t sound like their brand. An experiment with a GPT persona showed that AI recommendations for emails led to a drop in open rates and clicks.
AI itself diagnosed the problem: the emails stopped answering clients’ questions. This confirms: AI does not replace strategy. It can analyze data, but it doesn’t understand the nuances of human communication that are critical for building trust.
Programming: client feedback shapes the program
A few months before the event, the team compares the draft program with feedback from conference evaluations, Slack discussions, webinar chats, and podcast comments. This helps identify strengths and weaknesses.
One review revealed a gap between beginners and advanced AI practitioners, leading to the creation of two new session formats: a transformation stage with 15-minute interviews and build sessions where participants create a working agent in 30 minutes. Client feedback shapes the program, and AI helps structure it.
During the event: clips in an hour and speaker kits
Goldcast connects to main stage recordings, and within an hour after each session, the team receives 10 short clips for social media. This helps attract attendees who missed the first day. By the end of the event, about 150 clips accumulate for announcing the next year.
The next day, each speaker receives a kit with key moments, audience questions, clips, and graphics, compiled in the Claude project but reviewed by a human. This encourages speakers to return. Automating content creation allows the team to focus on engaging with attendees.
Post-event: AI finds themes across days of content
Many teams underestimate the opportunity to turn an event into year-round marketing. AI analyzes three days of sessions, identifying recurring themes and connections between speakers who have never appeared together.
These themes turn into podcasts, social content, Slack discussions, and webinars. The team also links content to search queries for SEO and answer engines. AI finds themes across days of content, creating the foundation for a long-term marketing strategy.
4 questions before implementing AI in event organization
1. Does it eliminate administrative work or replace human relationships?
Creating lists saves time for communication. Automating the communication itself can weaken relationships. Agent McPhillips enriched the contact list, but she sent the messages personally, with personal notes for 60-70% of acquaintances.
This is a key distinction: AI should eliminate administrative work, not replace human relationships. If a tool starts interfering with personal communications, that’s a signal to reconsider the approach.
2. Will someone review the output before sending it to a client, speaker, or sponsor?
Inaccurate content undermines trust. Speaker kits go through Claude, but every element is reviewed by a human, because a speaker who receives an incorrect review won’t appreciate the speed.
Human review is not a luxury but a necessity. Even the most advanced AI can make mistakes in interpreting context or tone. Therefore, always assign someone responsible for final control.
3. Does this process put client data at risk?
Establish a data policy before experiments, not after an incident. SmarterX removes identifying details from every review before adding it to the knowledge base. «We’ll put anything into AI, even P&L, but not client data,» says McPhillips.
Protecting client data should be a priority. Before implementing AI, make sure your team understands which data can be used and which cannot. This will protect you from legal and reputational risks.
4. Can an existing tool handle 80% of the task?
SmarterX prefers to hire staff rather than buy new software. A new tool should answer the questions: does the team need it, can it be trusted, and is it compatible with HubSpot. Start with the question: «Can the tool you already pay for solve 80% of the task?»
Often companies buy new solutions without using the potential of what they already have. Optimizing existing tools can save budget and training time. If the current tool handles most tasks, it may not be worth complicating things.
Frequently Asked Questions
How does AI help in event planning?
AI automates the collection of competitive data, price analysis, and forecasting, freeing up time for strategic decisions. This allows the team to focus on creative aspects that cannot be automated.
Can email marketing be fully automated with AI?
It is not recommended. A personal approach maintains customer trust; AI can help with analysis, but not in creating personalized messages. Automation can lead to decreased engagement, as shown by the SmarterX experiment.
How does AI improve the event program?
AI analyzes participant feedback and identifies gaps, allowing the creation of new formats that meet audience needs. This makes the program more relevant and interesting for different skill levels.
Conclusion
The answers to these questions will change as AI evolves, but responsibility for relationships with clients, speakers, and sponsors will remain with people. This is where human contribution is most valuable.
If you want to optimize event organization with AI, start with these four questions and ensure that technology serves your strategy, not replaces it. AI is a tool, not a replacement for human judgment. Use it to automate routine tasks, but keep control over key aspects of interaction.
Ready to implement AI in your processes? Start small: choose one task, test the tool, and evaluate the results. Remember that success depends not on technology, but on how you apply it.
