The standard preparation for most meetings is to glance at the calendar invite five minutes beforehand, maybe pull up the last set of notes if you can find them, and walk in with a general sense of what you're there to discuss. That approach works well enough for routine check-ins. For anything that actually matters — a job interview, a client presentation, a difficult conversation with a manager, a sales call — it tends to produce results that feel like they fell short of what was possible.

AI is genuinely useful here, and not in a complicated way. The basic idea is to spend ten to fifteen focused minutes before an important meeting asking an AI tool to help you prepare. The result is usually a sharper understanding of the other person's context, better questions, and a clearer sense of what you're trying to accomplish. None of that requires technical skill. It requires knowing what to ask.

What AI Can Actually Help With

Before getting into specifics, it helps to be clear about what AI is good at in this context and what it isn't.

AI is good at synthesizing publicly available information quickly. If you give ChatGPT or Claude a company name and ask for a summary of what they do, their recent news, and the challenges they're likely facing, you'll get a useful orientation in about thirty seconds. That same research done manually — website, LinkedIn, Google News — takes fifteen to twenty minutes and often produces a less organized result.

AI is also good at generating questions. Not because it knows your situation, but because when you give it context about a meeting, it can surface angles you might not have thought to ask about. Some of those suggestions will be obvious. A few will be genuinely useful.

What AI is not good at is giving you information it doesn't have. If you're meeting with someone whose online presence is minimal, or discussing a topic that's specific to your internal company context, the AI is working from limited material. It will still try to help — which is where you have to stay alert. An AI confidently describing a company's challenges based on thin public information is less useful than it appears. Use it as a starting point, not a source of truth.

For a Sales or Business Development Call

This is where AI preparation tends to produce the clearest return. Before a call with a prospective client or partner, try this prompt in ChatGPT or Claude:

I have a sales call tomorrow with [Name] who is the [Title] at [Company]. The company does [brief description]. I'm selling [what you offer]. Please give me: 1. A 3-paragraph summary of what the company does and their likely priorities 2. Three challenges companies in their industry commonly face right now 3. Five questions I could ask to understand their specific situation 4. Two ways my offering might genuinely solve a problem for them

The output won't be perfect — it's working from public information and your description — but it gives you a structured briefing that takes less time to read than it would have taken to assemble manually. The questions section is often the most valuable part. Having five good questions ready means the conversation feels more like a thoughtful discussion than an interrogation, and you're less likely to run out of things to ask in an awkward silence.

For a Job Interview

Interview preparation is one of the highest-value uses of AI I've seen in practice. The standard advice — research the company, prepare to answer common questions — is correct but vague. AI can make it specific.

Start with the company research prompt above, then add:

I'm interviewing for a [job title] role at this company. The job description says: [paste key points from the job description]. Based on this, what are the three most likely concerns the interviewer will have about any candidate for this role? And what are five questions they're likely to ask me?

Then, for each question you generate, ask the AI to help you structure a strong answer using your actual experience. The AI doesn't know your background, so you'll need to provide the raw material — but it can help you structure it in a way that's clear and relevant.

One thing to watch for: AI-generated interview answers often sound polished in a slightly generic way. Use them as a starting structure, then rewrite in your own voice. The goal is to sound like yourself at your best, not like a well-trained AI.

For a Difficult Conversation

Difficult conversations — asking for a raise, addressing a conflict with a colleague, delivering critical feedback — benefit from preparation in a different way. The preparation here is less about research and more about thinking through the dynamics before you're in the room.

A useful prompt:

I need to have a difficult conversation with my [manager / colleague / direct report] about [the issue]. My goal is [what you want to achieve]. I'm concerned they might respond by [your worry about their reaction]. Help me think through: 1. How to open the conversation in a way that feels direct but not aggressive 2. How to respond if they react defensively 3. What I should be prepared to hear from their perspective

This kind of preparation doesn't guarantee a smooth conversation. But it reduces the chance of being caught off guard by a reaction you didn't anticipate, and it forces you to think about the other person's perspective before you walk in — which tends to make the conversation go better regardless of what's said.

For a Routine Team Meeting

For regular team meetings, the prep investment is smaller, but there's still something AI can help with. If you're running the meeting, a quick prompt can help you structure an agenda that actually moves through its topics:

I'm running a 45-minute team meeting with the following items to cover: [list your topics]. Help me structure a realistic agenda with time allocations and a clear decision or output for each item.

If you're attending rather than running, AI can help you formulate one or two good questions or contributions in advance — the kind that signal you've thought about the topic rather than showing up empty-handed.

A Realistic View of the Limits

AI meeting prep is a tool, not a replacement for knowing your subject. If you're meeting with a client about a proposal and you haven't actually thought through the proposal, AI preparation won't cover for that. What it does is reduce the friction on the parts of preparation that are genuinely tedious — the background research, the question generation, the agenda structuring — so more of your finite prep time goes toward the parts that actually require your thinking.

The practical question isn't whether AI preparation is better than deep human preparation. It's whether ten minutes of AI-assisted prep is better than the nothing that most people do. On that comparison, the answer is consistently yes.

The meeting after the one you're preparing for now is a good place to start applying this. Not a high-stakes interview or a client pitch — just a regular meeting where you could afford to be a bit more prepared than usual. Run through the relevant prompt above, see what you get, and calibrate from there.