Building Custom GPTs for Credit Unions

Are you relatively new to working with LLMs and generative AI? Do you often find that you need to do the same task repeatedly?

Well, you’re in luck. There’s a quick way to make your life easier. No more continuous re-prompting to get what you want.

Let’s talk about creating custom GPTs for credit unions.

What Is a Custom GPT?

Custom GPTs are essentially a built-in prompt. When you open a new chat with a custom GPT, it automatically retrieves the instructions already built into it. It’s sort of like saving a long prompt right into ChatGPT itself.

The biggest benefit isn’t that you don’t have to re-paste in the prompt. No, the best part is that you can include entire documents as context. For example, if you want a custom GPT to craft a job description, you can provide a document with one (or several) of your recent job descriptions. The output will always resemble exactly what you put in.

How Do I Make a Custom GPT?

The process of creating your own GPT is very simple. You’ll be able to do it in 5 minutes or less.

1. Open ChatGPT and click your profile icon, or look for My GPTs in the left sidebar.
2. In the upper right corner, select Create GPT.
3. A new section will open on the left side where you can fill out custom GPT instructions.

You can fill in as much or as little information as you want in that custom GPT instruction section. One thing to note: there’s a practical limit to how many words ChatGPT can handle in the instructions. Going beyond that reduces the accuracy of the output.

Be careful not to make the instructions too long or complicated. Also try to make sure the GPT is tasked with only one thing. If you need to accomplish multiple tasks, that’s best done by multiple GPTs.

Give the GPT a name, add in any context documents you want it to reference, and give it a spin.

Note: context documents could be anything from desired output examples to a strict set of rules or regulations to follow for the task.

Hot Tips for Better Custom GPTs

If you’re not sure where to start, you can begin by asking ChatGPT. Tell it you want to make a custom GPT to do… whatever it is you want it to do. Then ask it to create a brief prompt to put in the instructions window.

Prompts can get “overbaked.” If your instructions are too exacting or very complex, it may actually reduce the quality of the final output. Aim for brevity when you can—a tall order if ChatGPT is crafting the prompt for you!

Keep it focused. Don’t ask one custom GPT to do too much. Think of it as a way to solve one problem effectively, efficiently, and repeatedly. If your workflow requires multiple steps, you may be better served by multiple GPTs.

A custom GPT isn’t a smarter ChatGPT—it’s a more consistent one. You’ve already made the decisions about tone, format, and context. It just follows them every time.

What Custom GPTs Should Credit Unions Actually Build?

You’re limited only by need and imagination. Here are a few custom GPTs we’ve helped create with and for credit unions recently:

1. Job posting writer
2. President’s report to the board
3. FP&A report formatter
4. Minute-taking for NCUA files

The takeaway: anything you’d use ChatGPT for more than once would be better served by a custom GPT. Your member services team, your loan ops team, your marketing team—they all have repetitive writing tasks that a well-built GPT can handle in seconds.

What’s the Risk?

Custom GPTs built inside ChatGPT run on OpenAI’s infrastructure. If you upload context documents containing member information or any nonpublic personal information (NPI), you need to confirm that your organization has a current data processing agreement with OpenAI that meets your compliance requirements. Consult your compliance team before uploading anything sensitive.

The good news: most of the best use cases—board report templates, job descriptions, minute formats—don’t require member data at all. Keep it that way and the risk profile stays low.

This post was drafted with AI assistance and reviewed by a human at CU 2.0. AI makes mistakes; verify any specific claim before acting on it.

Frequently Asked Questions

What is a custom GPT and how is it different from a regular ChatGPT chat?

A custom GPT is a version of ChatGPT with pre-loaded instructions and context documents built in. Instead of re-pasting a prompt every time, you open the custom GPT and it already knows what to do and how to format the output.

Do I need a paid ChatGPT subscription to build a custom GPT?

Yes, building and saving custom GPTs requires a ChatGPT Plus or higher subscription (verify current pricing at openai.com, as plans change). Free-tier users can access publicly shared GPTs but cannot create their own.

Can I upload my credit union's policy documents or member data into a custom GPT?

You can upload documents as context, but you should never upload member NPI or sensitive member data without confirming your organization has a compliant data processing agreement with OpenAI. Consult your compliance team first.

How many custom GPTs should one credit union build?

Build one GPT per task rather than one GPT that tries to do everything. A focused GPT produces more consistent, higher-quality output than one loaded with conflicting instructions.

What are the most useful custom GPTs for credit unions?

Common high-value use cases include board president's reports, job posting writers, FP&A report formatters, and NCUA minute-taking templates—any recurring writing task where consistent tone and format matter.

This post was drafted with AI assistance and reviewed by a human at CU 2.0. AI makes mistakes; verify any specific claim before acting on it.