Finance
Charting the AI revolution: Accelerating adoption of AI in finance – The CFO
The finance function within organizations is undergoing a significant transformation as the pace of technological advancement is unprecedented, with CFOs at the forefront of this change. They are faced with navigating through the complexities of integrating Artificial Intelligence (AI) into their operations. The adoption of AI in finance is not merely a trend but a strategic imperative that promises enhanced efficiency, accuracy, and insights. This article delves into the ways CFOs can accelerate AI adoption in their finance functions, the challenges they might face, and strategies to overcome these hurdles for a seamless transition into the AI-powered future.
Strategies for Accelerating AI Adoption
To expedite the integration of AI within finance functions, CFOs can adopt several strategic approaches.
Initially, focusing on automating the financial fundamentals is paramount. By automating manual processes across accounting and finance functions, organizations can significantly enhance productivity. This step is crucial in addressing the ongoing accountant talent shortages and improving business visibility through more frequent reporting.
Furthermore, centralizing data and training your own AI models is another vital strategy. An integrated solution, such as a cloud ERP system, can unify data across the business, providing a single source of truth. This approach not only saves time on manual data integrations but also ensures that AI can be as effective as possible.
By starting small and encouraging AI experimentation, CFOs can gradually build a robust foundation for AI within their finance functions, driving long-term change and efficiency.
Overcoming Challenges in AI Integration
Integrating AI into finance functions is not without its hurdles. One significant challenge is the lack of understanding and trust in AI technologies among small businesses, as highlighted by UK Tech Minister Saqib Bhatti. To overcome this, promoting trust and transparency in AI applications is essential. This involves providing increased support and educational resources to help businesses navigate the complexities of AI. Additionally, addressing environmental concerns associated with AI, as noted by Tom Dunning, CEO of Ad Signal, is crucial. Businesses must be mindful of the carbon emissions caused by AI and seek solutions to mitigate its environmental impact. Collaborating with industry and government to ensure the safe development of AI and equipping staff with the necessary skills to harness AI’s benefits positively are also key strategies. By tackling these challenges head-on, CFOs can facilitate a smoother integration of AI into their finance functions, unlocking new avenues for growth and efficiency.
The Future of AI in Finance
The integration of AI into finance heralds a transformative era of efficiency, insight, and growth. As CFOs navigate this journey, the focus on strategic adoption, overcoming challenges, and learning from success stories will be pivotal. The future of finance is undeniably intertwined with AI, promising a landscape of unprecedented opportunities.
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Finance
Anne Arundel County Launches New Finance and Procurement Platform
Anne Arundel County is preparing to launch a new finance and e-procurement system to modernize county operations and improve how businesses interact with local government.
The new platform, called Harbor, is scheduled to go live in July and will replace the County’s legacy procurement system with a centralized cloud-based platform built on Oracle Fusion Cloud.
County officials say the new system is designed to streamline procurement and financial processes while making it easier for both existing and prospective vendors to do business with the County.
From the press release:
“Harbor is a much-needed upgrade that will streamline services for our county agencies and those who do business with the county,” said Anne Arundel County Chief Administrative Officer Christine Anderson.
The platform will serve as a single portal for supplier registration, bid opportunities, invoicing, payment tracking, and contract management, consolidating what had previously been spread across multiple systems. County leaders say the transition is part of a broader effort to modernize operations, improve efficiency, and lower barriers for businesses seeking to compete for county contracts.
For counties, procurement modernization remains an important operational priority as local governments look to improve transparency, strengthen vendor engagement, and simplify access for businesses of all sizes. Anne Arundel County has encouraged interested suppliers to review training materials and registration information ahead of the July launch.
Finance
Quadient Recognized as a Leader in the 2026 SPARK Matrix for Accounts Receivable Applications
Quadient demonstrates continued innovation in AI-driven invoice-to-cash automation and unified finance operations
Paris
Quadient (Euronext Paris: QDT), a global automation platform powering secure and sustainable business connections, announced today it has been recognized for the fifth consecutive year as a Leader in the 2026 SPARK Matrix™ for Accounts Receivable Applications by technology analyst and advisory firm QKS Group. Quadient strengthened its position in the report year-over-year, with a notable improvement in Technology Excellence, reflecting continued innovation in its AI-driven invoice-to-cash solution.
According to QKS Group, Quadient’s leadership position highlights its evolution into a comprehensive, AI-powered platform that delivers strong predictive accuracy and straight-through processing. The analyst firm also emphasized the capability of Quadient’s solutions to unify accounts receivable (AR) and accounts payable (AP), offering finance leaders greater visibility and insights into their business finances to make faster, better decisions on working capital management.
Earlier this month, Quadient announced the release of its new cash dashboard capability for AR and AP that allows finance teams to bring together traditionally siloed data in a single view. An AI assistant summarizes key metrics and provides analysis that helps finance leaders accelerate cash on hand, improve forecasting, reduce risk and uncover opportunities to optimize working capital.
“Quadient has established a strong position in the 2026 Accounts Receivable Automation market through its focus on intelligent automation, cash flow optimization and integrated financial operations,” said Sanjeevi C R, associate vice president, Enterprise Research at QKS Group. “The platform’s evolution from predictive analytics to AI-driven autonomous collections execution represents a meaningful step forward in reducing manual effort across the invoice-to-cash cycle. What differentiates Quadient is its ability to combine collections management, cash application, and payment processing with a unified accounts receivable and accounts payable ecosystem, providing finance leaders with a more holistic view of working capital performance. By enabling greater automation, enhanced cash flow visibility, and more efficient receivables operations, Quadient continues to deliver measurable value for organizations seeking to modernize their financial processes and improve liquidity management.”
QKS Group highlighted the following key strengths for Quadient AR:
Finance
G7 Recommits to Development, Investment Finance to Drive Shared Prosperity
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