GTreasury Launches GSmart AI, an Agentic AI FinTech Solution Built for CFOs and Complex Treasury Environments
GTreasury has introduced GSmart AI, a cutting-edge tool in the realm of AI-powered treasury solutions, aimed at revolutionizing how CFOs and finance teams manage complex treasury operations. Leveraging best-in-class AI enterprise infrastructure, governance, and agent-driven workflows, GSmart AI empowers CFOs and treasurers to confidently navigate the increasingly complex treasury landscape by providing secure, actionable insights and agentic actions to amplify the value of GTreasury's solutions, spanning connectivity, liquidity management, cash forecasting, payments, risk, netting, and other core treasury functions.
CFOs and treasury teams face an evolving mix of complex data, unpredictable market conditions, and increasing regulatory pressure. Reliable AI support is a strategic necessity, and GTreasury's GSmart AI addresses these demands with powerful capabilities, built-in compliance, and full transparency into every action it takes.
'For AI to create real value for CFOs, it has to be based on clear design principles of security, removing inefficiencies, fast problem solving, and quick delivery,' said Renaat Ver Eecke, Chief Executive Officer, GTreasury. 'GSmart AI, born from our recent investment in our Development Hub in Dublin, Ireland , amplifies our solutions, empowering CFOs and treasury teams to confidently take advantage of powerful insights and value without sacrificing compliance or oversight. We're proud of our recent investment and expansion in development, which advances our vision of adaptable solutions that provide financial leaders with the clarity to act.'
The value of GSmart AI lies in its adaptable and scalable capabilities, where AI actively reduces manual effort by performing routine-but-time-consuming treasury tasks, proactively identifying risks and variances, and recommending strategic actions to support more informed decision-making. Its flexible architecture empowers treasury teams to deploy and schedule AI agents tailored to specific operational needs, ensuring maximum adaptability and relevance. As CFOs face growing complexity in financial ecosystems, AI-powered treasury solutions like gSmart AI offer real-time insights and automated recommendations.
'With GSmart AI, we've built an enterprise-class AI platform that not only analyzes data but actively infers, reasons, and acts on behalf of treasury professionals, amplifying the value of our solutions,' said Mark Johnson, Chief Product Officer, GTreasury. 'GSmart AI provides CFOs and treasurers full visibility and control, with clear traceability of every AI-generated output back to its source data. The depth of governance and explainability embedded into GSmart AI distinctly set our platform apart from generalized AI solutions or any other treasury technology.'
GSmart AI's differentiated value includes full alignment with ISO/IEC 42001 and ISO/IEC 27001 standards, readiness for the upcoming EU AI Act, and stringent data sovereignty practices. The platform strictly isolates client data, ensures no client data is used in AI model training, and maintains complete transparency through comprehensive audit logs and observability tools. This innovation marks a significant leap in the evolution of AI-powered treasury solutions, offering real-time forecasting and adaptive decision-making tools.
Among the key features and benefits of GSmart AI: Enterprise-class infrastructure: A scalable, API-driven agentic platform designed specifically for the complex needs of treasury and finance. Security and compliance: Comprehensive encryption, zero-trust architecture, data residency controls, and rigorous global regulatory compliance including GDPR and CCPA. Complete transparency and auditability: Full visibility into AI operations with explainable outputs linked directly to source documentation, backed by automated security monitoring and audit logging. Client control and data sovereignty: Full user control over AI features through feature flags, explicit opt-in workflows, and strict client-specific data isolation.
GSmart AI integrates seamlessly within GTreasury's adaptable treasury management platform, providing flexible and intuitive interaction with existing solutions and workflows. With the rise of AI-powered treasury solutions, finance leaders now have access to tools that adapt and evolve alongside their needs.
To learn more about GSmart AI and request a demo, visit https://www.gtreasury.com/solutions/ai/treasury-ai-platform .
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
The Independent
29 minutes ago
- The Independent
What to do with £200m? Lottery adviser reveals how the suddenly-ultra-rich spend their millions
Those lucky enough to win the jackpot on the lottery will know from the moment their numbers were called; their lives were never the same again. One ticket holder from Ireland scooped a record-breaking €250m (£208m) in the Euromillions Lottery jackpot on Tuesday, after nobody won the jackpot in the draw last week. Most of us have planned what we would do in the dream situation of winning millions in the lottery, from exotic holidays to retiring early. But what actually happens after the adrenaline rush of realising you've picked the lucky numbers? People have spent their money in the past taking their pets on private jets or having a celebrity chef to come and cook Christmas lunch, says Andy Carter Winner's Adviser at Allwyn, the operator of The National Lottery in the UK. Mr Carter is the main point of contact for those who have won the big bucks in the lottery in the UK. He goes visits winners, validates their claim, organises payment and talks them through their next steps to make sure they have the support and advice they need. But the first piece of advice Mr Carter gives winners is to take some time away, take a holiday and let it sink in. He explained the winnings are paid in one lump sum- meaning it can be very overwhelming. 'It's a huge amount of money, it's a big shock for people and they just need to sort of take their time on it,' he told the Independent. 'You went to bed with your life as it was, and you've woken up and won £200m. That amount of money is beyond questions of whether or not you at work, or whether you pay the mortgage or not. 'That is about generational wealth,' he added. 'The people who won this money will be able to help out their great grandchildren and great, great grandchildren who haven't even been born yet.' In the weeks after winning life-changing amounts of money, Mr Carter makes sure winners have access to legal advice, financial advice and well-being advice. 'We make sure they have access to other lottery winners as well. If you've won all this money, the best thing you can do is go and have a cup of tea with someone else who's won because they're the people that will truly understand,' he said. Less than 20 people in the UK have won lottery prizes of more than £100 million, Mr Carter explained. Financial advice is vital for people who have never had to handle this extortionate amount of money. Most people spend their lives making financial decisions on paying off the mortgage, retiring or buying a house. But lottery winners are suddenly burdened with making huge financial decisions. 'Everything you've ever known about money has changed,' Mr Carter said. 'People sit around in pubs across the country thinking what they would do if they won. But when you do win it becomes slightly more serious, and people do probably more conservative things than they perhaps thought they would do,' he added. But that doesn't mean he doesn't advise people to enjoy their winnings, celebrate and tick off bucket list items. Allwyn partners with a concierge service that can arrange bucket list items for winners. They can arrange meetings with celebrities, grand proposals, holidays and arranging private jets. 'You don't want to look back on it in years to come, and I didn't make the most of it,' he said.
Geeky Gadgets
38 minutes ago
- Geeky Gadgets
Anthropic MCP Explained : The Universal Adapter for Seamless AI Integration
What if integrating artificial intelligence into your workflow was as simple as plugging in a universal adapter? For years, developers and organizations have wrestled with fragmented systems, clunky integrations, and the inefficiencies of connecting AI models to tools, data, and user inputs. Enter the Model Context Protocol (MCP)—a new framework that's reshaping how AI interacts with the world around it. By standardizing these connections, MCP isn't just solving a technical problem; it's unlocking a new era of seamless, dynamic, and scalable AI applications. Whether it's automating complex workflows or controlling physical devices with precision, MCP is proving to be a fantastic option for industries worldwide. This breakdown Anthropic explain how MCP is redefining AI integration, from its core components—tools, resources, and prompts—to its fantastic impact across industries. You'll discover how this open source protocol is empowering developers to build smarter, more interactive systems while fostering collaboration within a thriving community. But MCP isn't just about solving today's challenges; it's about shaping the future of AI as a universal standard for human-machine interaction. As we unpack its evolution, applications, and future potential, one question looms: could MCP become as foundational to AI as HTTP is to the internet? MCP: Transforming AI Integration Understanding MCP and Its Core Components MCP addresses the challenges of connecting AI systems with external tools and data sources by providing a structured framework. Its primary objective is to ensure that LLMs can process, interpret, and act on information effectively. The protocol is built around three essential components: Tools: These represent the actions the AI can perform, such as interacting with external systems, executing tasks, or controlling devices. These represent the actions the AI can perform, such as interacting with external systems, executing tasks, or controlling devices. Resources: Data or files that enhance the AI's functionality by feeding relevant and contextual information into workflows. Data or files that enhance the AI's functionality by feeding relevant and contextual information into workflows. Prompts: User-defined inputs or templates that guide the AI's behavior, making sure outputs align with specific goals or requirements. By streamlining these elements, MCP enables developers to create dynamic and interactive AI applications. This structured approach reduces inefficiencies in traditional workflows, making AI integration more seamless and effective. The Evolution of MCP MCP was born out of the necessity to simplify AI workflows, which were often bogged down by repetitive manual tasks and fragmented integrations. Initially conceptualized during an internal hackathon, the protocol demonstrated its potential to address these challenges by allowing smoother interactions between AI models and external systems. Officially launched in November 2024, MCP has since evolved into an industry standard, supported by a growing community of developers and organizations. Its rapid adoption underscores its ability to meet the demands of modern AI applications. The Model Context Protocol (MCP) Watch this video on YouTube. Here are more guides from our previous articles and guides related to Model Context Protocol (MCP) that you may find helpful. Applications and Industry Adoption MCP's flexibility and adaptability have driven its adoption across a wide range of industries. With over 10,000 servers deployed globally, the protocol supports both local and cloud-based implementations, making it suitable for diverse use cases. Key applications include: Integrating AI with communication platforms like Slack to enhance collaboration and streamline workflows. Controlling physical devices, such as robotics systems and 3D printers, for manufacturing and prototyping tasks. Managing creative tools for tasks like music synthesis, video editing, and 3D modeling. Automating software workflows, including generating complex scenes in tools like Blender. This versatility has made MCP an indispensable tool for developers and organizations seeking to enhance their AI capabilities and improve operational efficiency. The Open source Advantage MCP's open source nature has been a cornerstone of its success. By making the protocol freely available, its creators have fostered a vibrant and collaborative community of contributors. These developers have played a crucial role in improving documentation, resolving technical issues, and expanding the protocol's functionality. The open source model ensures that MCP remains accessible to users of all skill levels, driving continuous innovation and positioning it as a foundational tool in the AI development ecosystem. Shaping the AI Landscape Today, MCP is recognized as a pivotal framework for integrating LLMs with external systems. Its ability to support both local and remote implementations has made it a preferred choice for developers and major companies alike. By allowing more dynamic and interactive AI applications, MCP is paving the way for a universal standard in AI interaction. Its impact extends across industries, from creative fields to manufacturing, demonstrating its potential to transform how AI is used in real-world scenarios. Future Developments and Enhancements The ongoing development of MCP focuses on enhancing its capabilities to meet the evolving needs of AI developers. Key areas of improvement include: Security Features: Implementing robust identity and authorization mechanisms to protect sensitive data and ensure secure interactions. Implementing robust identity and authorization mechanisms to protect sensitive data and ensure secure interactions. Registry API: Allowing models to dynamically discover and integrate additional servers, expanding their functionality and adaptability. Allowing models to dynamically discover and integrate additional servers, expanding their functionality and adaptability. Long-Running Tasks: Supporting workflows that require extended processing times, such as simulations or data analysis. Supporting workflows that require extended processing times, such as simulations or data analysis. Elicitation: Allowing servers to request additional user input when necessary, improving the accuracy and relevance of AI outputs. These advancements aim to make MCP more robust, secure, and adaptable, making sure its continued relevance in the rapidly evolving AI landscape. Compatibility with Advanced AI Models MCP's integration with advanced LLMs, such as Claude, further enhances its potential. For example, the release of Claude 4 introduces capabilities for managing longer-running tasks and coordinating interactions with multiple servers. This compatibility allows MCP to fully use the power of modern AI models, allowing more sophisticated and efficient workflows. By bridging the gap between innovative AI technology and practical applications, MCP continues to drive innovation. Community-Driven Progress The MCP community has been instrumental in driving innovation and exploring creative applications of the protocol. Developers have used MCP to build unique solutions, including: Automating tasks in creative industries, such as music generation, video production, and 3D modeling. Controlling hardware devices for manufacturing, prototyping, and other industrial applications. Enhancing collaborative tools for remote work, communication, and project management. These examples highlight MCP's versatility and its ability to address diverse challenges across various domains. The collaborative efforts of the community ensure that MCP remains a dynamic and evolving tool. Aiming for a Universal Standard MCP aspires to establish itself as a universal protocol for AI interactions, comparable to foundational internet protocols like HTTP. By prioritizing practicality, user-friendliness, and widespread adoption, MCP aims to create a standardized framework for seamlessly integrating AI into everyday workflows. Its commitment to continuous development and community-driven innovation ensures that MCP will remain at the forefront of AI technology, shaping the future of human-machine interaction and redefining the possibilities of AI integration. Media Credit: Anthropic Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
The Sun
an hour ago
- The Sun
Major UK supermarket slashes price of 80 grocery staples including chocolate, ice cream & vegetables to match Aldi
A MAJOR British supermarket is slashing its prices in its stores and online, giving customers major savings on its most popular items. The retailer has added 80 grocery staples to its well-loved Aldi Price Match in a bid to match the discount retailer. 6 6 6 Tesco has included a wide range of products as part of the new programme including many its private label items. The price of Tesco hummus pots has dropped to 99p alongside many other summer essentials such as fresh produce, like iceberg lettuce for 64p, baby tomatoes lowered to 78p and onions reduced to 35p. Frozen goods have also had the same treatment, with fish and steak included in the programme. But customers, who will be wanting something to keep cool over a hot summer, will be pleased to know that a three-pack of milk chocolate ice creams is now only £1.39, and a 4-pack of strawberry and vanilla ice cream will cost only £1.25. 6 Tesco chief commercial officer Ashwin Prasad said: 'We are absolutely committed to providing great value for Tesco customers, and we have carefully chosen more than 80 additional products to add to our Aldi Price Match scheme. 'We have added many customer favourites, including our Tesco own-brand hummus pots and baby plum tomatoes, giving customers the assurance that they are getting great prices on some of our most popular products.' The huge price cut extends to non-food items too, including exclusive brands like baby and toddler essentials, Fred & Flo. Tesco have announced this bold move following a strong first quarter, which saw sales go up by 5.9%. And yet, the price drop also coincides with the announcement that the rate of food price inflation rose to 4.4% in May, an increase from 3.4% in April, according to the Office for National Statistics (ONS). As a result, the rising cost of essentials like food puts those on lower incomes under particular pressure to make ends meet. Examples of products added to Aldi Price Match While the programme includes 80 products, here are some of the price drops customers can expect. Tesco Houmous (200g) 99p Tesco Iceberg Lettuce (200g) 64p Tesco Baby Plum Tomatoes (300g) 78p Tesco 2 Steak Slices (300g) £1.75 Tesco Red Onions (3 pack) 95p Tesco Lightly Salted Tortilla Chips (200g) 89p Tesco 2 Breaded Chunky Cod Fillets (350g) £3.49 Tesco Deep Pan Cheese Pizza (386g) £1.35 Fred & Flo Easy Fit Pants Size 4 (42 pack) £3.56 Fred & Flo Baby Shampoo (500ml) 82p Tesco Milk Chocolate Ice Creams (3 pack) £1.39 Tesco Strawberry and Vanilla Ice Creams (4 pack) £1.25 6 What's more, Tesco has more than 1,000 prices fixed included in its Low Everyday Prices deals and 9,000 Clubcard Price deals on offer to members each week. This new batch of lower-priced products comes after the retailers removed over 100 items from the programme in February. What is price matching? Since the cost of living crisis has put more and more pressure on consumers, price matching has become common place amongst the 'Big Four' supermarkets. 6 For Tesco, the Aldi Price Match programme was founded five years ago, in addition to its Clubcard membership programme. The aim is to incentivise customers to shop with the retailer for savings, as the UK supermarket giants battle out to have the best prices.
