If you've read my earlier posts on ChatGPT, you know I think the tool is worth your time but needs careful boundaries. The question now is: where should your team actually start testing?
I've spent the last two weeks working with professional services leaders to identify five specific task categories where ChatGPT delivers clear value without creating compliance headaches. These are the ones to pilot first.
Task 1: Email Drafting for Routine Communication
Your team spends hours drafting emails. Most of them follow predictable patterns: acknowledging a request, explaining a position, asking for more information, scheduling a follow-up.
ChatGPT is fast at this. Tell it the context, the tone, and what you want to say, and it produces a draft that takes minutes to edit instead of 15 to write from scratch.
How to test: Have someone on your team draft three non-confidential emails using ChatGPT. Time how long it takes them to generate the draft versus how long it would normally take. Measure the editing time. Most people find they save 40-60% of the time.
Boundary: Don't paste confidential client information. Use it for internal communication, prospecting emails, and routine client updates where nothing sensitive is involved.
Task 2: Meeting Notes and Action Item Extraction
You run a meeting. Someone transcribes it (or you record it and ask ChatGPT to read the transcript). You ask ChatGPT for action items, decisions made, and owners.
ChatGPT gets this right about 80% of the time. It's not perfect, but it's much faster than having someone sit through a 45-minute meeting to extract 10 action items.
How to test: Take a transcript from your last internal team meeting (nothing confidential). Paste it into ChatGPT and ask for action items, decisions, and owners. Compare to someone's manual notes. You'll quickly see where it wins and where human review is needed.
Boundary: This works well for internal meetings. Be careful with client calls or strategy sessions where nuance and context matter more than extraction.
Task 3: FAQ Responses for Client Intake
You probably get the same 20 questions over and over: "How much does this cost?" "How long does this take?" "Do you handle X?" "What's your availability?"
Feed ChatGPT your firm's positioning, your service model, and a few example FAQs. Ask it to write responses to new variations of those same questions. It does this well.
How to test: Pick five questions your team answers repeatedly. Use ChatGPT to draft responses. Have a senior person edit them once for your voice and accuracy. Then measure: did you save time? Was the quality acceptable? Can you automate this in your intake process?
Boundary: Works best for factual questions with consistent answers. Don't use it for complex pricing discussions or anything requiring discretion about terms.
Task 4: Research Summaries and Background Briefings
You need to learn about a prospect company or a new regulatory change. You find three articles, four blog posts, and a report. ChatGPT can read all of it and give you a one-page summary of the key facts, trends, and implications.
This saves hours. Not days, but consistently 2-3 hours of reading and note-taking compressed into 15 minutes of reading and verification.
How to test: Pick a recent industry development (a new regulation, a market trend, a competitor announcement). Gather 5-10 sources. Ask ChatGPT to summarize the facts and implications. Then do a spot check: are the facts right? Are the interpretations reasonable? How much time did you save?
Boundary: Great for public information. Don't use it to summarize confidential or licensed content. And always verify facts in regulated domains — ChatGPT will confidently state things that are wrong.
Task 5: Template and Process Document Creation
You need an email template for a specific type of client engagement. You need a checklist for onboarding. You need an outline for a proposal. You need a decision tree for a complex process.
ChatGPT can draft these in minutes. A partner or senior person will always need to review and refine it, but you're not starting from a blank page anymore.
How to test: Identify one template or process document your team has been meaning to standardize. Give ChatGPT as much context as you can about your process, your values, and your client base. Ask it to draft the template. Have someone on your team refine it. Then use it and iterate.
Boundary: This is a starting point, not the final product. Your team's expertise needs to go into these documents. But ChatGPT is good at creating the first coherent version.
What to Avoid (For Now)
Don't use ChatGPT for client-facing strategy advice, complex technical analysis, regulatory interpretation, or anything involving confidential information. Don't let it replace your expertise. Don't let your team treat its output as verified fact without checking.
Data security and compliance. Before you roll this out widely, get your legal and compliance teams involved. Make sure your firm's policy is clear about what information can be shared with ChatGPT and what cannot.
The Right Way to Pilot This
Pick one of these five tasks. Have 2-3 people on your team test it for a week. Keep a simple log: what did they use it for, how long did it save, what did they have to fix. After a week, review the results.
If it works, scale it to the whole team. If it doesn't, try a different task. Don't overthink this. The best way to understand ChatGPT's value to your firm is to use it on real work.
These five tasks are where I've seen the clearest wins in professional services. They're not flashy. They're not AI in the sci-fi sense. But they're where ChatGPT actually makes your team more productive.