TECHNOLOGY
tasks, it allowed humans to focus on the explicitly human aspect of their job without the lengthy manual burden that tasks are normally accompanied by. Moving forward a few years, the popularity of RPA was hard to ignore: everybody was using it. And at scale. Moving beyond the simple task of automation allowed room for additions and improvements; namely, the introduction of AI, machine learning( ML) and natural language processing( NLP). IA has emerged as a powerhouse, influencing everything from executive strategy to daily financial workflows. This shift is part of a broader technological evolution that has redefined operational standards. While RPA paved the way, IA now offers sophisticated solutions across various business functions. Despite the rise of more complex systems, these tools remain essential for optimising several key areas:
• Managing and processing invoices
• Identifying and preventing fraud
• Overseeing quality control
• Handling dispatching and reporting
• Tracking and scheduling shipments
• Streamlining data entry and mapping
• Gathering statistical information
• Coordinating appointments.
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How Intelligent Automation integrates into bank processes at J. P. Morgan
IA: SOPHISTICATED SOLUTIONS
Intelligent automation in financial services has entered a mature phase, shifting from isolated, rule-based software toward enterprisewide Agentic AI. According to data from Capgemini’ s World Cloud Report 2026, while 87 % of financial firms leverage traditional automation, only 10 % have scaled these fully autonomous AI agents – marking the industry’ s newest competitive frontier. Unlike simple bots, these modern agents possess the capability to reason, interpret context and act independently across complex cloud workflows.
Another prime real-world example of this in the second quarter of 2026 is NatWest Group’ s comprehensive partnership with Cleareye. ai. The bank is deploying an intelligent automation platform called ClearTrade to completely overhaul its back-office trade finance. The system extracts and categorises data from unstructured, multi-format documentation and runs automated financial crime screenings alongside Trade-Based Money Laundering( TBML) checks.
Simultaneously, major banking institutions like Lloyds Banking Group are rolling out massive enterprise-scale automation suites( such as Microsoft’ s E7 platform). This scales journey-specific autonomous agents designed to automatically handle routine system interactions, drastically reducing administrative workloads. These integrated data ecosystems are transforming complex risk modelling, fraud detection, and Know Your Customer( KYC) compliance – enabling institutions to expand client approval rates while maintaining a highly secure risk profile. 112 July 2026