At a time when more and more banks and financial institutions are integrating AI-powered solutions into their systems and processes, what separates successful deployments of AI technology from failed, expensive, or incomplete ones?

At FinovateFall 2026, I sat down with Mark Susser, GTM Lead for Financial Services at ElevenLabs. In our conversation, Susser explained what separates successful AI deployments from those that stall, how companies can identify the right use cases for a given AI solution, and why modularity and meeting customers where they are are key.

“The ones that stall out typically make one of two main mistakes: One is that they have too much of a broad platform initiative. Nothing specific to prove, no use case that has been picked out, and they’re more focused on what the technology could do versus what the actual business needs. Another area that we see some faltering in is that they don’t bring in their compliance partners from day one. What we find is that when compliance partners are brought in on day one, they’re actually architecting the foundational elements that will make sure that it’s successful and it’ll get approved once it goes into production.”

Mark Susser is GTM Lead for Financial Services at ElevenLabs. ElevenLabs is an AI company that enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. The company builds voice and audio models and delivers them in a platform that can power every interaction across a company: from AI agents for sales, support, and business operations, to creative tools for marketing and media.

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