Association Online Community Advice & Tips | Breezio

A Community Manager's Introduction to AI

Written by Pankaj Taneja | Sep 11, 2025 12:26:30 PM

Let's get real. The "AI revolution" isn't about robots taking your job; it's about getting an intern who's a total machine, works 24/7, and never complains. As a community manager for an association or membership organization, your plate is overflowing with things that are important but not always strategic. AI is the tool that can take those routine tasks off your hands so you can focus on what actually matters: building relationships and driving member value.

The LLM Revolution: Why Now?

The recent buzz around AI isn't just hype. It's the result of a massive leap in a specific kind of AI: Large Language Models (LLMs). Think of LLMs like ChatGPT or Gemini as a super-powered version of your brain's language center. They've been trained on an unfathomably huge chunk of the internet, so they can understand context, generate human-like text, and even "reason" in a way that previous technology couldn't. This isn't just a fancy search engine; it's a creative partner.

This shift has made AI accessible to everyone, not just data scientists. Instead of needing to code a specific rule for every task, you can simply talk to an LLM in plain English. This is the difference between writing a complex program to generate an email and simply asking, "Write a welcome email for a new member with a conversational tone." This accessibility is what has unlocked AI's potential for the everyday tasks that bog down community managers, allowing you to get more done in less time.

Tipping the Scales: Where to Start with AI

Don't try to boil the ocean. Start with small, practical applications that will give you immediate relief. Here's a breakdown of real-world use cases and the tactics to get you there.

1. Content & Communications ✍️

You spend a ton of time writing. Emails, social posts, discussion prompts, event descriptions—it's a content treadmill. AI can be your co-pilot.

  • Tip: Don't just ask an AI to "write a social media post." That's how you get generic, corporate fluff. Instead, give it specific constraints and context.
  • Tactics:
    • Prompting: Say you have a webinar coming up. Your prompt could be: "Write three different email subject lines for a webinar on 'Navigating New Lobbying Regulations.' Make one professional, one a little provocative, and one very direct."
    • Repurposing: Have a killer webinar recording? Use an AI-powered transcription tool to get a transcript. Then, feed that into a large language model (LLM). Your prompt could be: "I've attached a transcript of a 60-minute webinar. Summarize the key takeaways in 250 words, and then pull out three key quotes from the host for social media." This instantly turns one piece of content into a summary and social posts.
    • Drafting: Use an LLM to draft a first pass of an event description or a discussion prompt. It saves you from staring at a blank page. You still need to edit it and add your human touch, but the heavy lifting is done.

2. Member Engagement & Insights 📊

This is where AI gets really powerful. We're talking about going from reactive to proactive, and even getting a boost for your own creativity.

  • Tip: AI is excellent at pattern recognition. Leverage this to identify trends and a-ha moments you would never spot manually. It can also be a springboard for fresh ideas.
  • Tactics:
    • Idea Generation: Feeling stuck on a topic for a new discussion or event? Give an LLM a prompt like: "Based on recent conversations in our community forum about regulatory changes, give me 10 ideas for a new networking event or discussion series." The AI won't know your members personally, but it can quickly synthesize the broad themes and give you a starting point.
    • Churn Prediction: Some Association Management Systems (AMS) are starting to use predictive AI. For example, a system might analyze a member's activity—have they stopped logging in? Are they no longer registering for events? The AI can flag them as "at risk" so you can reach out with a personal touch before they lapse.

3. Beyond Content and Engagement

AI's value goes well beyond the obvious. Here are a few more ways it's quietly transforming the community manager's role:

  • Administrative Automation: Imagine never having to summarize a long board meeting again. AI can create a detailed summary and pull out key action items from meeting transcripts. It can also handle the tedious task of tagging and categorizing content in your community platform. This saves hours of manual labor.
  • Moderation and Safety: AI can act as a tireless moderator, automatically flagging inappropriate content, spam, or even potential harassment in your online spaces. This allows you to step in quickly and ensures a safe, respectful environment without you having to constantly police every conversation.
  • Proactive Member Support: Chatbots powered by LLMs can handle a significant portion of common member inquiries, from "How do I update my profile?" to "When is the next conference?" This frees you and your team up to handle more complex or sensitive member issues that require a human touch.

The Nitty-Gritty: What You Need to Know

AI is not a magic bullet. You can't just throw a tool at a problem and expect a perfect result. Here's the real talk.

  • Data is everything. AI tools are only as good as the data you feed them. If your member data is a mess, a personalized recommendation engine won't work. Get your house in order first.
  • Review, always. Don't ever copy and paste AI-generated content without a human review. It can be repetitive, slightly off, or just plain wrong. Your voice, your empathy, and your expertise are irreplaceable.
  • Privacy and Ethics. Your members trust you with their data. Be transparent about what data you're using to train your AI and for what purpose. Establish clear internal guidelines. The American Academy of Neurology (AAN) has created an AI work group to guide its staff and members, which is a great example to follow.

The best community managers are already using AI, even if they don't call it that. It's in your auto-replies, your social media schedulers, and your analytics. The next step is to use it more intentionally to stop doing the busy work and start focusing on the human-to-human connections that make your community truly thrive.