AI for Event Planners: A Practical Guide to Smarter Workflows
It’s no secret that AI has entered the events industry, and it’s here to stay. When it comes to planning, figuring out where to start can feel like one more thing to manage.
For many, that workload is already fragmented across RFPs, proposals, contracts, vendor emails, budgets, schedules, and dozens of decisions competing for attention. When you’re effectively an “army of one,” adding another platform to the mix isn’t automatically helpful.
Think about the work that eats up time. Comparing five hotel proposals against the same RFP. Pulling decisions and deadlines from a long email thread before a client call. Checking a revised contract against terms agreed to weeks earlier.
These aren’t futuristic applications. They’re extensions of work planners already do. A more practical place to start is: Where in your workflow are you losing time, repeating work, or struggling to make information usable?
AI Is an Accelerator, Not a Replacement
AI can get through information-heavy work quickly and give planners a head start, but speed and judgment are two different things.
AI doesn’t inherently know the history behind a client relationship, why one concession matters more than another, when a vendor response should raise a red flag, or which compromise makes sense for a particular event. Those decisions still depend on experience, context, relationships, and the planner’s understanding of the bigger picture.
It’s a distinction Tim Altbaum, CMP, CMM, CEO and co-founder of Vario Productions, emphasizes in his AI sessions for meeting and event professionals. With nearly 30 years in the events industry, Tim puts it simply: “AI is an accelerator, not a replacement.” Used well, AI gives planners more time for the parts of the job that actually need them.
Stop Collecting AI Tools and Start With the Work
When generative AI first took off, there seemed to be a new tool for every task. One wrote emails. Another summarized meetings. Another built presentations or analyzed documents.
This is becoming less useful as a way to think about AI. Many of those capabilities are now built into broader platforms, including software event teams already use. CventIQ is one example, bringing AI into existing event workflows and using event context and connected data to support the work planners are already doing.
Even the terminology keeps changing. Depending on the platform, you might hear about projects, workspaces, agents, or workflows. The label matters less than what you’re trying to accomplish and what AI needs to do it well.
Where Can Event Planners Actually Use AI?
AI for event planners is most useful when it supports work already happening across the event lifecycle.
Before the Event: Plan and Source
- Compare proposals and bids. Use the original RFP to compare hotel or production proposals consistently, including pricing, scope, concessions, assumptions, and missing information.
- Review contracts and BEOs. Compare revisions against previously agreed terms to flag changes, contradictions, or details that still need confirmation.
- Make long email threads actionable. Pull out decisions, open questions, deadlines, scope changes, and next actions without rereading the entire conversation.
From Pre-Con to Onsite: Coordinate and Communicate
- Build operational documents. Turn planning materials into run-of-show documents, pre-con checklists, readiness lists, or contingency plans.
- Adapt information for different audiences. Use the same event information to prepare what attendees, sponsors, staff, volunteers, or executives actually need to know.
- Keep action items moving. Turn notes and updates into clear next steps with an owner, priority, and deadline.
After the Event: Learn and Improve
- Analyze feedback. Find recurring themes, concerns, positive feedback, and opportunities for improvement across survey responses.
- Look across the full event. Review feedback alongside attendance, budgets, notes, and other event documentation to get a more complete picture.
- Carry lessons forward. Turn those findings into useful takeaways and recommendations for the next program.
Better AI Results Start With Clear Instructions
A vague request usually produces a vague result. Ask AI to “compare these proposals,” and you’ll probably get a comparison. However, AI still doesn’t know what matters to you, which information it should trust, or what you’re trying to decide. A stronger prompt gives it the same kind of direction you’d give someone helping you with the work.
Tim breaks that direction into six parts:
- Role: Who should AI act as?
- Source: What information should it use?
- Task: What are you asking it to accomplish?
- Criteria: What does it need to consider or protect?
- Output: How should the result be organized?
- Questions: What does AI still need from you before it starts?
For a proposal comparison, that means defining the source documents, what matters to the program, what should be flagged, and what you need back before making a decision. You don’t need a magic prompt. You need enough context for AI to understand the assignment. Don’t just ask whether the result “looks good,” either. Ask AI to push back: What’s missing? What can’t you confirm? What would concern an experienced planner?
Give AI a Job, Not Just a Question
Most people start using AI the same way: ask a question, get an answer, revise the request, and ask again. That works for one-off tasks, but if you keep giving AI the same instructions, using the same information, and asking for the same type of output, it may be time to look at the process itself.
Think about how you work with a project manager. Once they understand the event, your priorities, and what deserves your attention, you shouldn’t have to explain the entire assignment every time something changes. AI can work similarly when it has the right context and clearly defined responsibilities.
That context may already exist in your RFPs, proposals, contracts, BEOs, budgets, emails, and schedules. A planner doesn’t read a vendor email in isolation. They read it knowing what was requested, what was agreed to, what the budget allows, and what still needs to happen. AI becomes more useful when it can work from that context too.
Where Human Judgment Still Matters
As AI takes on more of the prep work, there still need to be boundaries. Use AI as another set of eyes, not the final decision-maker.
- Protect sensitive information. Know which AI tools and integrations your organization has approved before sharing client, attendee, financial, contract, or other sensitive information.
- Check the work. Verify important facts, calculations, costs, schedules, and contract terms. When reviewing documents, ask AI to point back to the source.
- Know when AI should stop. Decide which actions or decisions need human approval before anything moves forward.
- Keep a record your team can use. Important decisions shouldn’t exist only inside an AI conversation.
How to Start With AI in Your Workflow
AI for event planners doesn’t have to mean redesigning your planning process or automating an entire event. Identify one piece of work you already do repeatedly and start there.
- Pick one repetitive task. What do you keep reading, comparing, organizing, or following up on?
- Test it on real work. Give AI clear instructions, start with an approved, low-risk example, and refine what doesn’t work.
- Save what works. If the same approach consistently produces something useful, make it repeatable rather than starting over each time.
- Measure the result. Is it actually saving time, reducing manual work, or making the process more reliable? If not, change it.
The Goal Isn’t to Use More AI
Success isn’t measured by how many AI tools, prompts, or workflows you’ve collected. What matters is whether AI gives you more time and attention for the parts of planning that still need you: your experience, your judgment, and your relationships.
Ready to Put AI in Action?
You’ve seen where AI can fit into the planning process. Now take the next step and put it to work.
Join Vario Productions and Tim Altbaum, CMP, CMM, for The Next Draft: AI Workshop for Event Planners on October 12 during IMEX America 2026 in Las Vegas. Go deeper with better prompting, smarter workflows, and real ways to apply AI to the work you are already doing.
RSVP for The Next Draft and start making AI work for you.
AI for Event Planners: Frequently Asked Questions
How can event planners use AI?
Event planners can use AI throughout the event lifecycle to review proposals and documents, organize information, prepare communications, support onsite coordination, analyze feedback, and carry lessons into future programs.
What event planning tasks can AI help automate?
Repetitive, information-heavy tasks are often good candidates, including proposal comparisons, document reviews, email organization, and recurring reports. Repeatable workflows can take this further, with human review built in where needed.
How do you write an effective AI prompt for event planning?
Give AI enough context to understand the assignment. Tim Altbaum, CMP, CMM’s framework uses six elements: Role, Source, Task, Criteria, Output, and Questions. Together, they define what AI should do, what information it should use, and what a useful result looks like.
Can AI compare event RFPs and proposals?
Yes. AI can compare proposals against the same RFP to surface differences in pricing, scope, terms, assumptions, and missing information for the planner to evaluate.
Can AI analyze event surveys and post-event data?
Yes. AI can review surveys alongside attendance data, budgets, notes, and other event documentation to identify themes, issues, and opportunities that can inform future planning.
Will AI replace event planners?
AI can accelerate repetitive and information-heavy work, but experience, context, creativity, relationships, and judgment remain human responsibilities.