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How multi-agent AI economics influence business automation

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Managing the economics of multi-agent AI now dictates the financial viability of modern business automation workflows. Organisations progressing past standard chat interfaces into multi-agent applications face two primary constraints. The first issue is the thinking tax; complex autonomous agents need to reason at each stage, making the reliance on massive architectures for every subtask too […]

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Manulife moves AI agents into core financial workflows

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Large financial firms have spent years testing artificial intelligence in small projects, often limited to data analysis or customer support tools. The next phase appears to involve something more operational: systems that can take action in business workflows. Canadian insurer Manulife is moving in that direction as it works to deploy agent-based AI systems inside

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ABB: Physical AI simulation boosts ROI for factory automation

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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

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Agentic AI in finance speeds up operational automation

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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

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Mastercard brings agentic payments to life in Singapore with DBS and UOB

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Mastercard has completed its first live, authenticated agent-based payment transaction in Singapore, a milestone that advances autonomous AI commerce from proof of concept to everyday use. Announced on March 4, 2026, the transaction was carried out in partnership with DBS and UOB, two of Southeast Asia’s largest banks. In the demonstration, an AI agent booked a ride to

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AI insurance underwriting is past the pitch deck—Gradient AI just got the capital to prove it

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AI insurance underwriting has been called the next frontier of insurtech for years. The difference now is that the money backing it has moved from venture bets into institutional conviction. On March 3, Boston-based Gradient AI securedgrowth capital financing from CIBC Innovation Banking, a lender with over 25 years of experience backing growth-stage technology companies and

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UK sovereign AI fund to build up domestic computing infrastructure

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The UK sovereign AI fund intends to secure advantages by providing a domestic alternative to external computing infrastructure. Backed by a £500 million budget from the Department for Science, Innovation and Technology, the unit formally launches on April 16th at 6pm GMT. James Wise, Partner at Balderton Capital, chairs the function to coordinate efforts across

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City Union Bank launches AI centre to support banking operations

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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

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Scaling intelligent automation without breaking live workflows

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Scaling intelligent automation without disruption demands a focus on architectural elasticity, not just deploying more bots. At the Intelligent Automation Conference, industry leaders gathered to dissect why many automation initiatives stall after pilot phases. Speaking alongside representatives from NatWest Group, Air Liquide, and AXA XL, Promise Akwaowo, Process Automation Analyst at Royal Mail, grounded the

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The firm that never forgets: Rowspace launches with US$50M to make AI for private equity actually work

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Private equity runs on judgment–and judgment, it turns out, is extraordinarily hard to scale. Decades of deal memos, underwriting models, partner notes, and portfolio data are scattered across systems that were never designed to communicate with each other. Every time a new deal crosses a firm’s desk, analysts start from scratch, even when the answers

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