Financial institutions are using intelligent automation to optimize productivity, reduce costs, transform insights, and elevate customer engagement
In pursuit of greater operational efficiencies, financial institutions are using intelligent automation for loan origination, compliance and regulatory reporting, contract management, marketing, fraud detection, risk management, and a slew of other functions. Intelligent automation combines traditional automation technologies with generative AI (GenAI), machine learning (ML), and natural language processing (NLP).
What makes this technology transformative is its ability to go beyond decisioning based on predetermined rules and to learn from the data it processes to make judgements without human intervention.
Intelligent automation frees staff from routine and repetitive tasks such as data entry, financial reporting, and loan processing to focus on more value-added activities. It also reduces the need for financial institutions to hire additional staff.
Malcolm DeMayo, Global Vice President - Financial Services Industry at NVIDIA, share his insights, "One of the biggest and most pressing challenges with generative AI is cost vs return on investment. Banks must transform from datacenters where data is stored and retrieved to AI Factories where the input is data and the output is real-time intelligence. Banks are seeing significant value creation with AI, and picking the right use case is critical to successful returns."
There are many practical use cases for these automated workflows, including translation, content summarization, data augmentation, and data analysis. Here are just three use cases that are promising for financial institutions:
- Code Generation and Software Development
- Call Center Audio Transcription, Sentiment Analysis and Summarization
- Document processing
Code Generation and Software Development
In a quickly evolving landscape, financial institutions are under increased pressure to bring systems and products to market quickly. However, the software development lifecycle can be lengthy and resource intensive.
Intelligent automation can speed up software development and make planning and design, code creation, testing, implementation, and maintenance less labor intensive. It can also facilitate code refactoring which improves reliability and performance while preserving functionality.
To address the challenges of traditional software development, financial institutions are increasingly turning to intelligent automation, with 44% currently using or planning to use it for code assist and software generation.[1]
Call Center Audio Transcription, Sentiment Analysis and Summarization
Financial institutions are inundated with vast amounts of data from customer support, from call center audio recordings to social media posts to interactions with chatbots via online and mobile banking.
Analyzing customer interactions is incredibly time consuming and labor intensive. Intelligent automation takes structured, unstructured, and semi-structured content and consumes, parses, and transforms this information into insights. Intelligent automation can even analyze customer sentiment to help financial institutions personalize customer interactions.
Data from customer interactions can help create marketing content such as blog posts, customized training and educational materials, reports, social media updates, infographics, and video scripts.
To make content relevant and aligned with business needs, generative AI models are augmented with internal data and use retrieval augmented generation (RAG) to access and use proprietary data to inform content creation. This means AI doesn't just create content on its own, it references your specific data to ensure the output is accurate and reliable. You can quickly and easily update your knowledge base to reflect new data or remove outdated information, ensuring that the generated content remains accurate and up to date.
Document Processing
Financial institutions must process a tremendous volume of documents containing a vast array of data, such as transaction records, regulatory filings, loan records, and more. Processing these documents manually is time consuming and while standard automated document processing makes these tasks more manageable, they are still inefficient.
These document processing challenges are why 53% of financial institutions are using or planning to use generative AI for report generation, synthesis, and investment research, up from 27% the prior year.[2] According to NVIDIA's 2025 State of AI in Financial Services report, more than half of financial institutions are using or plan to use generative AI for document processing and analysis and 43% are using or plan to use it for enterprise search such as searching through internal documents.[3]
Intelligent automation can extract relevant information from documents and summarize findings. These insights can be used by the C-suite for strategic decision-making and customer service agents to better service customers. For example, intelligent automation can speed mortgage origination and closing by extracting relevant information from title searches, W-2 forms, bank statements, and purchase and sale agreements.
Getting the Most Bang for the Buck
Intelligent automation enables financial institutions to immediately extract actionable knowledge from vast stores of internal and external documents. It also powers faster software development lifecycles, streamlines processes across the organization, and creates new content using proprietary data. To get the most out of an investment in intelligent automation, first identify use cases that would add the most value to the organization, Next, implement pilot projects that promise high ROI and expand use across other areas of the organization.
"Taking the 'wait and see' approach to adopting AI can prove very problematic," shared DeMayo. "The pace of innovation with generative AI is so rapid, if you don't embrace this technology, and make investments today, your business could be disrupted."
About the Dell AI Factory with NVIDIA
Dell Technologies and NVIDIA can help you leverage AI to drive innovation and achieve your business goals. The Dell AI Factory with NVIDIA is the industry's first and only end-to-end enterprise AI solution*, designed to speed AI adoption by delivering integrated Dell and NVIDIA capabilities to accelerate your AI-powered use cases, integrate your data and workflows, and enable you to design your own AI journey for repeatable, scalable outcomes.
* Based on Dell analysis, July 2024. Dell offers solutions with NVIDIA hardware and software engineered to support AI workloads from PCs with AI-powered features and workstations to Servers for High-performance Computing, Data Storage, Cloud Native Software-Defined Infrastructure, Networking Switches, Data Protection, HCI and Services.
[1] https://resources.nvidia.com/en-us-2025-fsi-survey/ai-financial-services
[2] https://resources.nvidia.com/en-us-2025-fsi-survey/ai-financial-services
[3] https://resources.nvidia.com/en-us-2025-fsi-survey/ai-financial-services