Credit Union Fintech: Coalesce.ai

coalesce.ai financial technology credit union 2.0

Coalesce.ai helps credit unions introduce the power of AI and machine learning into their operational ecosystem. Their platform utilizes User-Defined Machine Learning, which allows clients to train Coalesce.ai’s automation platform how to gain expertise in a certain set of tasks.

Coalesce.ai’s systems helps credit unions and financial industries reduce error and increase efficiency while saving time. By reducing or eliminating the possibility for human error and the necessity for manual labor, Coalesce.ai lets ten credit union employees accomplish the work of a hundred.

For credit unions, Coalesce.ai found that “the operations of a financial services firm like a credit union today requires—especially in the middle and back office—a lot of tedious, manual, repetitive work: opening spreadsheets, scanning emails, filtering through PDF documents. And with this new AI technology, we’ve been able to automate the way that some of that gets done at credit unions.”

 

Top 3 Problems Solved

  1. Workflow automation
  2. AI and User-Defined Machine Learning
  3. Streamline operations

 

Coalesce.ai Founder: Greg Woolf

 

Coalesce.ai Market Strategy

Credit Unions.

 

Credit Union Fintech: Coalesce.ai in the News

Coalesce.ai introduces AI elements to workflows

Coalesce.ai works with IBM’s Watson

 

Interested in seeing more fintech entrepreneurship? Check out the CU 2.0 fintech infographic, Death by 1,000 Cuts. You can see firsthand the impact fintechs have had on the credit union industry, as well as how fintech innovation can improve your income statement, balance sheet, interest margin, services, and more.

Credit Union 2.0 believes fully in the power of credit union and fintech partnerships. With the shared goal to redefine multifaceted financial services models look like to members, more credit unions are looking to partner with forward-leaning fintechs.

If you want to learn more about credit union–fintech partnerships, click here.