Beyond pilots: Strategic discovery as the foundation for scaling banking automation
Abstract
This paper argues that the persistent gap between automation potential and automation adoption in banking is not the result of technological limitations but of inadequate discovery methodologies. Although banks have invested heavily in robotic process automation (RPA), intelligent document processing (IDP) and process mining technologies, most institutions remain confined to tactical, department-level deployments that emphasise short-term efficiency gains. Traditional discovery methods focus on operational metrics such as full-time equivalent (FTE) reduction, cycle-time improvement and error-rate reduction, producing business cases that rarely resonate with executive decision makers responsible for strategic capital allocation. This paper demonstrates that scaling automation requires a shift toward strategic discovery centred on benefit–cost ratio (BCR) analysis, which integrates operational assessment with quantification of multi-year strategic value, including regulatory resilience, competitive positioning, customer experience enhancement and workforce enablement. By embedding BCR analysis into the discovery phase rather than applying it only during evaluation, institutions can construct business cases that reflect the full scope of value delivered by modern automation initiatives. The paper outlines a practical framework for implementing BCR-enhanced discovery and illustrates, through case evidence, how this approach strengthens executive sponsorship, accelerates adoption and enables financial institutions to evolve from isolated pilots to enterprise-wide automation transformation. This article is also included in The Business & Management Collection which can be accessed at https://hstalks .com/business/.
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Author's Biography
Dr Danielle Jennings has over 15 years of experience in IT, delivering solutions to organisations ranging from mid-market to Fortune 500 companies. She currently helps banking and financial services institutions move beyond tactical automation pilots to achieve enterprise-wide strategic impact. As Client Services Executive and Automation Practice Director at Primus Software Corporation, Duluth, GA, she leads discovery and delivery teams that transform tactical robotic process automation pilots into enterprise-wide strategic initiatives that deliver measurable business value. As the Product Owner for PrimeOne (Primus’s discovery and analytics tool), she drives pipeline quality, return on investment modelling and adoption. Danielle partners with the Sales team to manage customer relationships and develop custom frameworks that address not only the technical requirements but also the cultural and strategic challenges of automation adoption. Her expertise spans the full intelligent automation stack: RPA, intelligent document processing, conversational artificial intelligence (AI) and AI/machine learning. She holds a Doctorate in Business Administration and serves as a professor of data science and AI at Monroe University in New York.