How should banks think about using AI? Are we in an AI bubble? What is Intelligence Capital? Maya Mikhailov, CEO and co-founder of Savvi AI, joined us for a conversation to break it all down.
Here are some of the most powerful insights from our conversation with her.
Banks are sitting on mountains of data about their customers, their processes, their lending decisions. But most of that data is just... sitting there.The banks that will win in the next decade are the ones who figure out how to transform that data into Intelligence Capital - insights they can operationalize, processes they can improve, customer relationships they can deepen.
Maya Mikhailov, CEO and co-founder of Savvi AI, broke down exactly how banks should be thinking about AI. In her conversation on Tash's Takes, she laid out three clear buckets: lower risk, improve operations, and drive growth.
I'm predicting 2026 will bring a wave of bank M&A as AI creates a massive efficiency gap.JP Morgan is already breaking even on its $2B annual AI spend. Meanwhile, most community banks are still using a handful of Copilot licenses and some machine learning for fraud detection.The cost savings large banks are achieving across risk, operations, and growth means they can buy up smaller banks and get even greater economies of scale. This is going to speed up acquisitions significantly.
Every bank wants to say they’re using AI, but without a clear business goal, it’s just “sprinkling AI on top”. As Maya Mikhailov put it, buying a few Copilot licenses doesn’t make an AI strategy. Adopting AI should start with the business strategy.
Banks don’t need to worry about the AI bubble as the application layer isn’t going anywhere.
You can't unbake a cake. Once a bank puts its data into a shared AI model, even if it later asks for that data back - the knowledge embedded in that data is gone.
Watch the full video below:
Want to stay ahead of what’s next in compliance?
Subscribe to our blog to hear directly from the people shaping the future of risk and regulation.
For more information on how Cable can automate testing of regulatory controls and dynamic risk assessments, contact Cable today for a demo.
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Academy Bank Selects Cable to Power Automated Compliance Testing for Strategic GrowthHow should banks think about using AI? Are we in an AI bubble? What is Intelligence Capital? Maya Mikhailov, CEO and co-founder of Savvi AI, joined us for a conversation to break it all down.
Here are some of the most powerful insights from our conversation with her.
Banks are sitting on mountains of data about their customers, their processes, their lending decisions. But most of that data is just... sitting there.The banks that will win in the next decade are the ones who figure out how to transform that data into Intelligence Capital - insights they can operationalize, processes they can improve, customer relationships they can deepen.
Maya Mikhailov, CEO and co-founder of Savvi AI, broke down exactly how banks should be thinking about AI. In her conversation on Tash's Takes, she laid out three clear buckets: lower risk, improve operations, and drive growth.
I'm predicting 2026 will bring a wave of bank M&A as AI creates a massive efficiency gap.JP Morgan is already breaking even on its $2B annual AI spend. Meanwhile, most community banks are still using a handful of Copilot licenses and some machine learning for fraud detection.The cost savings large banks are achieving across risk, operations, and growth means they can buy up smaller banks and get even greater economies of scale. This is going to speed up acquisitions significantly.
Every bank wants to say they’re using AI, but without a clear business goal, it’s just “sprinkling AI on top”. As Maya Mikhailov put it, buying a few Copilot licenses doesn’t make an AI strategy. Adopting AI should start with the business strategy.
Banks don’t need to worry about the AI bubble as the application layer isn’t going anywhere.
You can't unbake a cake. Once a bank puts its data into a shared AI model, even if it later asks for that data back - the knowledge embedded in that data is gone.
Watch the full video below:
Want to stay ahead of what’s next in compliance?
Subscribe to our blog to hear directly from the people shaping the future of risk and regulation.
For more information on how Cable can automate testing of regulatory controls and dynamic risk assessments, contact Cable today for a demo.
