There’s a lot of pressure on banks to move quickly with AI, but the best starting point isn’t trying to transform everything at once. It’s identifying where manual work and disconnected processes are slowing teams down and applying AI where it can make a real, measurable difference.
A practical approach to AI leads to better outcomes for employees, institutions, and the customers they serve.
With only 8% of banks demonstrating being at the forefront of AI, it's crucial for financial institutions to have a strategic and focused path to AI implementation.
The good news for community banks is that focus is a strength they already have. These banks know their customers, their markets, and their operations in detail. That same discipline applies perfectly to AI. Success does not come from becoming an AI bank. It comes from finding where the work slows down and applying AI to specific tasks where it can make a measurable difference.
"Why 'AI Everything' Is the Wrong Starting Point for Banks" emphasizes that submitting to the pressure of implementing AI ubiquitously and trying to modernize everything at once can trip up banks from reaching their objectives, particularly AI-related goals.
This original article, published on BankNews, goes into the practical and proven ways for bankers to dip their institution's toes into AI for long-term success. It's a practical and informative perspective from Vikar's CEO Glenn Bolstad.
Read the full article here: BankNews.