Vision Credit Union taps nCino to modernise lending operations

By Aarav Garg

nCino has been selected by Vision Credit Union to modernise its agricultural and commercial lending operations as the Canadian credit union looks to streamline workflows and strengthen member engagement across Alberta.

The deployment will see Vision Credit Union adopt nCino’s Commercial Lending, Banking Advisor and Automated Spreading solutions to support the full lending lifecycle, from application and credit decisioning through to loan booking. The move is aimed at reducing reliance on manual and paper-based processes while improving operational efficiency for lending teams.

“There’s a version of banking that’s all spreadsheets and credit memos, and there’s a version where your lender knows your operation, your family, and your five-year plan,” said Danny Coale, Senior Vice President for Enterprise Banking North America at nCino. “Vision has always been the latter and we’re proud to give their team the technology to keep it that way.”

Agricultural and commercial lending account for nearly 70% of Vision Credit Union’s loan portfolio, reflecting the institution’s focus on serving farming communities and regional businesses across the province. By implementing AI-enabled tools and workflow automation, the credit union is seeking to provide faster and more data-driven lending experiences while allowing relationship managers to focus more on customer engagement.

“Our staff are at the heart of what we do at Vision. They’re in the communities, on the farms, having conversations with our members,” said Dan Hautzinger, Chief Executive Officer at Vision Credit Union. “We want to give our teams the tools they need to spend less time on administrative work and more time building the relationships that make us who we are. We’re excited about what we can accomplish with nCino.”

The rollout also highlights the growing adoption of AI-powered lending platforms among regional financial institutions looking to modernise credit operations without compromising relationship-based banking models. Banking Advisor will introduce AI-driven insights and recommendations directly into lender workflows, while Automated Spreading is designed to accelerate the analysis of financial statements and improve access to actionable borrower data.