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4 Banks and Credit Unions Recognized for AI Innovation

Glia, the #1 Banking AI platform, today announced the winners of its 2026 Catalyst Awards, which honor the most forward-thinking institutions using Banking AI to create measurable impact across growth...

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Heartland Credit Union, Live Oak Bank, Thomaston Savings Bank and Alliant Credit Union recognized for using Glia’s Banking AI to drive growth, increase workforce capacity and elevate customer experiences

NEW YORK: Glia, the #1 Banking AI platform, today announced the winners of its 2026 Catalyst Awards, which honor the most forward-thinking institutions using Banking AI to create measurable impact across growth, operational efficiency and customer experience.

This year’s winners demonstrate the expanding role of Banking AI - retaining millions in deposits, creating thousands of hours of workforce capacity, resolving customer needs around the clock, and equipping employees with real-time knowledge to fuel personalization and cross-selling. Together, these banks and credit unions are proof that with Banking AI, community and regional institutions can compete with megabanks and fintechs without sacrificing the relationships and experience that have always differentiated them.

“As AI moves from automating routine tasks to completing complex operating procedures, these institutions are leading the way,” said Dan Michaeli, co-founder and CEO of Glia. “By methodically building and scaling Banking AI into their operations, they’ve positioned themselves ahead of the industry - directly benefiting their employees, local communities and account holders. We are proud to partner with them and celebrate their incredible momentum.”

Glia’s 2026 Catalyst Awards winners include:

  • Heartland Credit Union, recipient of the Harmonizer Award for using Banking AI to create faster, more efficient member service across voice interactions. Glia saves Heartland more than 6,000 staff hours annually - giving them the additional capacity of nearly four full-time employees - while reducing average wait time for a human operator by 40% and call abandonment by 54%.
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