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COINTURK FINANCE > Business > AI and Automation Reshape Corporate Finance Strategies
BusinessFintech

AI and Automation Reshape Corporate Finance Strategies

Overview

  • Corporate finance adopts AI and automation to improve efficiency and decision-making.

  • FinTech evolves into a strategic enabler, addressing B2B inefficiencies with custom solutions.

  • Central banking practices offer valuable insights for liquidity, risk, and capital management.

COINTURK FINANCE
COINTURK FINANCE 5 months ago
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Corporate finance is undergoing a significant transformation, shifting from traditional reactive models to more predictive and proactive approaches. This transition, fueled by advancements in technologies such as artificial intelligence (AI), automation, and real-time payments, is redefining how businesses handle liquidity, working capital, and operational resilience. As global uncertainty persists, companies are increasingly focused on developing smarter financial infrastructures to remain competitive and agile in their operations. The pressure is mounting for CFOs and finance teams to adopt these innovations rapidly, as they face growing expectations to streamline workflows and enhance decision-making processes.

Contents
How are CFOs leveraging AI in financial processes?What recent developments mark the maturity of FinTech solutions?

How are CFOs leveraging AI in financial processes?

AI is increasingly recognized by CFOs as a pivotal tool for modernizing back-office functions. Automation is reducing inefficiencies in processes such as accounts payable, accounts receivable, and treasury management, enabling faster and more accurate decision-making. Geoff Brannon, CFO at Rootstock Software, highlighted the role of AI-powered agents in automating tasks like inventory procurement and payment processing. These advancements are echoed by WiseLayer’s recent launch of task-specific AI agents tailored for finance and accounting teams, following a $7.2 million funding round. The use of AI in such areas is not only reducing administrative burdens but also helping companies close operational visibility gaps, as noted in a PYMNTS Intelligence report, with 77% of surveyed CFOs agreeing AR automation improves invoice tracking.

What recent developments mark the maturity of FinTech solutions?

FinTech has evolved from being a disruptor to a strategic enabler, particularly in the B2B landscape. Recent announcements reflect this shift: Formance raised $21 million to enhance its open-source financial infrastructure, while Gallabox secured $3.5 million to expand its AI-powered SMB communication tools. Additionally, TravelPerk’s acquisition of Yokoy illustrates the growing trend of integrating spend management solutions into broader platforms. These advancements underscore the FinTech sector’s focus on addressing inefficiencies in payments, lending, and expense management. Industry players are also leveraging strategic funding to refine their product offerings and meet specific market needs, further signaling the sector’s maturation.

Looking back, earlier iterations of corporate finance technologies were siloed and less adaptive to real-time demands. While digitization started as a tool for basic automation, today’s solutions integrate AI and machine learning to enable predictive analytics and seamless transaction processing. The rise of open banking and API-driven ecosystems, which gained traction a few years ago, laid foundational groundwork for the more dynamic FinTech solutions seen today.

Finance teams can also gain insights from central banking practices, particularly in areas like liquidity management, risk assessment, and global payment infrastructures. The European Central Bank’s experiments with tokenization and blockchain for cross-border payments demonstrate how streamlined frameworks can optimize transaction flows. Similarly, adherence to ISO 31000 and COSO ERM frameworks can help corporate finance departments adopt robust risk management strategies. Such methodologies offer valuable lessons for managing financial stability and capital allocation under increasingly complex operational conditions.

Developing smarter finance infrastructures involves leveraging both AI and lessons from central banks to overcome inefficiencies and enhance transparency. While the adoption of these technologies is still uneven across industries, companies investing in these solutions are better positioned for agility and scalability. With funding surging in the FinTech sector and technological innovation accelerating, the next phase of corporate finance will likely be defined by deeper integration of AI, automation, and risk management frameworks to address multi-faceted challenges.

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Disclaimer: The information contained in this article does not constitute investment advice. Investors should be aware that cryptocurrencies carry high volatility and therefore risk, and should conduct their own research.

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