Artificial intelligence is reshaping the equipment finance sales process from a numbers game into a precision science — changing not just how we sell, but who we sell to.

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The news beat on AI continues as, “You must have it!” But now we also hear “companies are struggling with AI” too. One recent survey found that 71% of CFOs are "flying blind" and struggling to monetize AI. Initiatives built around a disruptive technology like AI are always challenging because both the technology and its applications are unfamiliar. In the case of AI they can also be abstract. “Work smarter not harder” is a great tagline, but “smarter” is hard to measure without standardized testing.

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Latest software enhancements empower lenders with multi-contract visibility, expanded data insights, and streamlined customer collaboration tools

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In mid-September, I attended the inaugural ELFA Innovation Lab in Denver. While I had been a regular attendee at its predecessor, the ELFA Operations and Technology Conference, I was eager to experience this new iteration. There was a great sense of energy and enthusiasm across all three days of the event. I don’t know if it reflected the positive business conditions or simply the excitement of the new format but attendees seemed light on their feet and genuinely engaged in their conversations.

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Scott Nelson and Bob Rinaldi show how data visualization and AI are transforming operations like syndication, revealing hidden trends and driving smarter, faster decisions.

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The great thing about paradoxes is that they are counter intuitive. They start with the expected: technological efficiency improves the productivity of a resource thereby reducing the need for that resource, for example. But then there are unexpected outcomes that are persistent and consistent.

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