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5 things you need to know to enable AI at your Credit Union

We all love the promises of increased customization, automation, efficiency, and productivity that Artificial Intelligence (AI) can deliver, but how does a credit union get there? Here are five things you need to know as you explore leveraging this asset at your credit union.

1. A clear data strategy.

The primary function of the credit union data strategy is alignment and support of the organization strategy. Make sure it incorporates a pathway to data maturity and includes talent development to consume data. The credit union data strategy should provide clarity on workplace adoption of data. It is challenging to get a valuable output of AI if your credit union doesn't have a comprehensive data strategy. It is a bit like assembling an expensive bike without the directions. You know what you want it to do and look like, but without the assembly plan, you cannot accomplish your vision.

2. The ability to translate data strategy into tangible use cases.

Focusing on solving the member problem or reducing member friction are ideal because the entire credit union can understand them. The use cases, otherwise known as the business problem, is key to AI enablement. You need to know what problem you are using AI to solve.

3. A clear, high-level road map.

If you have #1 and 2 above, you should have this. Remember, the best practice for a data road map is to fit it on one page and communicate how the strategy will help improve members' lives.

4. Have a formal data governance program.

Many credit unions get overwhelmed with the creation of formal data governance program. Advice: don't boil the ocean; make a nice cup of tea. Start small. This is mission-critical. Suppose your credit union doesn't have a formal data governance program. In that case, it isn't easy to verify data quality, and without clean data, you can't be confident in the output from AI.

This is the area where most credit unions fail. Creating a data-centric organization does not occur organically. A defined plan to infuse data into the credit union is a combination of critical and design thinking embedded in a pro-active environment.

Complete the data success assessment to find out how ready you are for data success in seconds. Scroll to the bottom of the page, and within the click of a few buttons, you will find out how prepared your organization is to succeed with data.


If you enjoyed this read, you enjoy these as well:

Gartner's Roadmap for Data-Driven Business Transformation

Actions To Take Today for Data Success in 2022!


Data Success: A 3-part education series to help you achieve it!

Data has been called one of the single most important organizational assets. Fortunately for credit unions, there is an abundance, but this also is the biggest challenge.

Where do you start? This webinar will show you not only where to start but give you the knowledge and tools to create your data success.

Two industry leaders, ChannelNet and THRIVE, have teamed up to present this educational series in three (1 hour) webinars.

Click below to learn more.


Where can I fill my data knowledge gaps?

With a stop at the

THRIVE has created the only CPE accredited course that delivers the following:

  • Establishing an enterprise data vision

  • Creating member-centered data use case

  • Understanding/defining data maturity

  • The essentials of data governance

  • How to develop data consumption by enterprise talent

  • Building workplace adoption

  • Creating effective data road maps

Yep, that is 1 through 5 of Gartner's Roadmap :)


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With over 100 articles, we feel pretty confident you will find something you like.

We believe that data transformation doesn't have to feel overwhelming or expensive to be impactful. After helping over 600 credit union leaders launch their data journeys, we have identified several consistent knowledge gaps. We have worked hard to fill these gaps with a variety 2 min or less articles

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Data Education White Paper

For a credit union to be successful with data, it has to overcome two pain points:

1. Filling organizational data knowledge gaps.

2. Providing a framework to help launch a credit union's data journey.

​This white paper highlights the methodology and results of the offering. Students accomplished the following:

  • Assessment of current credit union data condition

  • Drafted a data vision statement

  • Created a data strategy draft

  • Identified member friction

  • Diagramed member experience journey

  • Leveraged member friction into a data use case

  • Proved proficiency in data maturity concepts

  • Created data governance plan draft

  • Resolved member friction use case using design thinking framework

  • Proved proficiency of center of excellence concepts

  • Built an Enterprise Data Road Map

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