Finance AI

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Manulife moves AI agents into core financial workflows

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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Agentic AI in finance speeds up operational automation

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

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

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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City Union Bank launches AI centre to support banking operations

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

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

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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JPMorgan expands AI investment as tech spending nears $20B

Artificial intelligence is moving from pilot projects to core business systems inside large companies. One example comes from JPMorgan Chase, where rising AI investment is helping push the bank’s technology budget toward about US$19.8 billion in 2026. The spending plan reflects a broader shift among large enterprises. AI is no longer treated as a small

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Beyond the pilot: Dyna.Ai raises eight-figure Series A to put agentic AI in financial services to work

The financial services industry has a pilot problem. Institutions pour resources into AI proofs-of-concept, generate impressive dashboards, and then quietly watch momentum stall before anything reaches production. Singapore-headquartered Dyna.Ai was built precisely to break that pattern–and investors are now backing that thesis with serious capital. The AI-as-a-Service company has closed an eight-figure Series A round

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AI agents prefer Bitcoin shaping new finance architecture

AI agents prefer Bitcoin for digital wealth storage, forcing finance chiefs to adapt their architecture for machine autonomy. When AI systems gain economic autonomy, their internal logic dictates how corporate capital flows. Non-partisan research by the Bitcoin Policy Institute evaluated how these frontier models would transact if operating as independent economic actors. The study tested

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