Banks have invested heavily in AI to date, on the promise of productivity gains, and those gains must start delivering. The big questions on AI deployment surround adoption: what is usage, how it is measured, and is it moving the needle? At ModuleQ, we have achieved 70% Daily Active Usage (DAU) across our AI solutions for Investment Bankers. Our Unprompted AI usage is driven by two core differences from many technologies within banks: ease of activation, and continued value delivery. To cross the chasm from activation to adoption, the medium is often the message. This is where Unprompted AI differentiates versus most prompted-based AI solutions. The Future Is Now for AI adoption across Investment Banks. Banks have invested heavily in AI expecting productivity gains, which must begin to be realized. AI is often presented as a versatile, one-size-fits-all solution, but banks struggle to adapt this general-purpose tool to their specific needs and regulatory requirements. Many have pivoted to tailored solutions like RAG for narrow functions like improved enterprise search. With many banks announcing those roll-outs, today's focus should be on role-specific productivity tools. Companies dedicated to this task, like ModuleQ, ultimately will deliver these specific tools to investment bankers.
ModuleQ is a California-based AI platform that provides solutions such as revenue acceleration, knowledge management, and employee engagement for enterprises.