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RPA (robotic process automation) is a practical and proven way to reduce manual work in business processes without AI systems. By using software bots to follow fixed rules, companies can automate repetitive tasks like data entry and invoice processing, and to a certain extent, report generation. Adoption grew quickly in many sectors, especially in finance, […]
RPA matters, but AI changes how automation works Read More »
Finance leaders are automating their complex workflows by actively adopting powerful new multimodal AI frameworks. Extracting text from unstructured documents presents a frequent headache for developers. Historically, standard optical character recognition systems failed to accurately digitise complex layouts, frequently converting multi-column files, pictures, and layered datasets into an unreadable mess of plain text. The varied
Automating complex finance workflows with multimodal AI Read More »
While everyone around me was busy exploring the latest AI tools, I decided to take a slightly different path — exploring AI for load testing. I tried popular tools like K6, TestSprite, and JMeter, learning how they simulate traffic and monitor app performance. But soon I realized: why settle for existing tools when I could
IntelliLoad: Building a Smarter AI-Assisted Load Testing Tool Read More »
Executive Summary. Jeff Fettes argues that the real challenge in customer experience AI is not building smarter models but defining clear operational boundaries for what AI agents are allowed to do. Customer experience operations are emerging as a proving ground for enterprise AI. Yet many initiatives stall when pilot projects meet the complexity of real-world
Jeff Fettes — Why Most CX AI Pilots Fail at Scale Read More »
A new ABB and NVIDIA partnership shows physical AI simulation is driving real ROI in factory automation and solving production hurdles. Manufacturers have often found it difficult to make intelligent robotics work reliably outside testing environments. The core issue is the gap between digital training models and actual factory floors, where lighting, material physics, and
ABB: Physical AI simulation boosts ROI for factory automation Read More »
In finance, achieving operational automation by integrating agentic AI requires a data-centric foundation to drive real value. Financial infrastructure provider SEI has engaged IBM to modernise its internal operations via AI and automation. The joint initiative focuses on process redesign and targeted system updates to deliver consistent client experiences, building a modern and data-enabled foundation
Agentic AI in finance speeds up operational automation Read More »
Banks have spent years buying analytics tools and automation software. Now some are taking a different step: building internal spaces where AI can be tested directly on real banking problems. One example emerged in India this month. City Union Bank recently entered a four-party agreement to create a Centre of Excellence for Artificial Intelligence in
City Union Bank launches AI centre to support banking operations Read More »
The adoption of AI for enterprise treasury management enables businesses to abandon manual spreadsheets for automated data pipelines. Corporate finance departments face pressure from market volatility, regulatory demands, and digital finance requirements. Ashish Kumar, head of Infosys Oracle Sales for North America, and CM Grover, CEO of IBS FinTech, recently discussed the realities of corporate
How AI upgrades enterprise treasury management Read More »
Retail decisions often depend on weekly performance reports, but compiling those reports can take hours of manual work. Urban Outfitters Inc. (URBN) is testing a new approach by using agentic AI systems to generate those reports automatically, changing routine analysis from staff to software. The retailer runs brands like Urban Outfitters, Anthropologie, and Free People,
URBN tests agentic AI to automate retail reporting Read More »
Finance leaders are driving ROI using agentic AI for accounts payable automation, turning manual tasks into autonomous workflows. While general AI projects saw return on investment rise to 67 percent last year, autonomous agents delivered an average ROI of 80 percent by handling complex processes without human intervention. This performance gap demands a change in
Agentic AI drives finance ROI in accounts payable automation Read More »
