How many systems and applications (whether legacy, web-based, mainframe, or productivity apps) are used to initiate and complete a specific process? How much effort do workers put into each system and application during each process, and where are the bottlenecks? Is the organization adequately training and upskilling employees? How much time do workers spend toggling between different applications to complete their day-to-day tasks? What and where are the operational risks lurking in the background, whether it be making costly calculation mistakes in liquidity and cash management or reporting incorrect regulatory information that can attract high fines and penalties? How well do your enterprise resourcing planning (ERP) and customer relationship management (CRM) systems support the products and services you provide to customers today and intend to provide tomorrow? How much time, effort, and resources are required to map business processes and update process documentation when processes change? What are your golden sources of data, and is the data being used efficiently by your artificial intelligence (AI) and machine learning (ML) systems to give you the insights you need to manage your business? These questions cannot be answered with manual exercises or by bringing in an army of consultants or using traditional BPMN processing mining software. Understanding your complex and overlapping universe of enterprise systems and processes requires more intelligence, computing power, and speed than any of these traditional solutions can possibly offer. Unless, of course, you have years to wait for your transformation to take hold. Why process intelligence plays a key role in banking transformation Traditional methods of understanding processes are process mapping, process mining, and process discovery. However, each of these methods returns an incomplete view of processes based on a snapshot of how the process was executed at a single point in time. Additional uncertainty comes from manually monitoring processes, which will undoubtedly disrupt workers and provide inaccurate results. More technical approaches avoid this disruption by analyzing application log files, but they miss steps performed manually or outside of a limited set of applications. Finally, these methods only show what happened today, but that data is then stale tomorrow. Not a good foundation for an enterprise-scale transformation.

Process intelligence overcomes all of these shortcomings by automatically and continually acquiring process data at scale across any system in your firm. It uses AI and computer vision to provide clear and accurate visibility into the current state of your processes and captures data from across regions, shifts, departments, and more—all without disrupting workers. This provides an accurate and comprehensive foundation from which to automate processes, drive digital transformation, and optimize workflows. How FortressIQ transforms banking operations The Automation Anywhere FortressIQ Process Intelligence solution uses computer vision, machine learning, and AI to effectively capture and discover the details of every process, who performs it, using which applications, and the output generated from it. Our solution maps and documents the people, processes, technologies, and information behind every activity, even those using end-user computing tools (EUC) run outside of core systems. Best of all, it captures this detailed, accurate, and unobtrusive process intelligence in just weeks, without expensive and long engagements. And it highlights the process variances across workers caused by differences in experience, training, and other factors. Process intelligence is a valuable tool for the financial, fintech, and banking industries, which require transparency above all. FortressIQ delivers real-time, data-driven insights to create a detailed map of your business. Whether for governance, risk, and compliance, or new products, customer service, and internal efficiencies, FortressIQ analyzes activities across all applications, through each department, and for every single process. It requires zero integration, works without disrupting employees, and captures granular process details.