How AI is Changing Financial Management

Your AI Copilot Isn’t Replacing You — It’s Promoting You 🚀 Remember when Excel first landed in offices? The people who mastered it didn’t get replaced. They got promoted. We’re living through that moment again—only now, it’s with AI. Your AI copilot—whether it’s ChatGPT, Claude, or a custom tool—isn’t here to take your job. It’s here to multiply your impact. Take my week, for example: 🧠 Summarized a 20-page whitepaper in 90 seconds ✍️ Drafted 3 client emails—in my voice, not some generic template 💡 Reframed an investor pitch deck using insights from a different industry None of that replaced me. It amplified me. And what I’m seeing personally? It’s happening at scale in fintech. AI in Fintech: Quiet Revolution, Massive Impact The same AI that’s helping me move faster is now transforming how fintech operates — not someday, but right now. 1. Smarter Risk Management ↳ AI flags fraud in real time, predicts loan defaults before they happen. ↳ JPMorgan cut false positives in fraud detection by 40%. 2. Personalization That Actually Works ↳ Hyper-relevant offers, proactive chatbots, AI-driven wealth advisors. ↳ Result? 5–10% uplift in revenue through more engaged customers. 3. Less Ops, More Innovation ↳ KYC checks, compliance reviews, documentation—automated. ↳ Your team spends less time chasing files, more time chasing growth. PwC predicts over $1 trillion in AI-driven value for financial services by 2030. Deloitte shows major gains in both cost reduction and revenue growth. This isn’t just an upgrade. It’s a shift in how fintech runs. At Netevia, we are already making this a reality. We are currently integrating AI into two core fintech processes: risk assessment and underwriting. These processes are being enhanced with AI to improve accuracy, speed, and decision-making. This integration enables our teams to focus on higher-level insights while AI handles complexity at scale. 💬 If you treat AI as competition, you’ll get left behind. 💡 If you treat it as a collaborator, you’ll move ahead. So let’s make this real: How are you using AI as your copilot? Drop your favorite use case in the comments—let’s crowdsource the next fintech playbook. #AI #Fintech #FutureOfWork #ArtificialIntelligence #ChatGPT #Productivity #CareerGrowth #BankingInnovation

🚀 Agentic AI is transforming fintech. Ant International, a spin-off from Ant Group, is taking financial services to new heights with its latest AI-as-a-Service (AIaaS) platform—the Alipay+ GenAI Cockpit. This groundbreaking tool empowers fintech companies to develop agentic AI systems, enabling AI-native financial services that streamline payments and enhance compliance checks. In an industry where precision and efficiency are paramount, AI-driven automation is becoming a necessity rather than a luxury. ❓What Makes This Innovation Stand Out? 🔹 Agentic AI Systems – Unlike traditional AI, agentic AI isn’t just reactive; it makes autonomous decisions based on evolving data patterns, optimizing transactions without constant manual oversight. 🔹 AI-as-a-Service (AIaaS) – By offering AI capabilities as a scalable service, fintech firms can integrate advanced AI without heavy infrastructure investments, fostering rapid deployment and customization. 🔹 Payments & Compliance Automation – The platform ensures that payments are processed efficiently while meeting strict regulatory requirements, reducing risks and improving fraud detection. ❓Why It Matters for Fintech? 💡 Financial institutions and payment networks must operate at peak efficiency while staying ahead of compliance regulations. AI-native financial services powered by agentic AI can handle complex tasks such as: ✅ Real-time fraud detection across massive transaction volumes. ✅ Automated compliance checks that evolve with regulatory changes. ✅ Smart payment routing to maximize speed and cost efficiency. 💡Shaping the Future of Digital Transactions Fintech is moving toward a self-optimizing infrastructure, where AI agents interact dynamically with financial ecosystems to deliver hyper-efficient and secure solutions. Companies leveraging agentic AI will not only gain a competitive edge but also redefine trust and transparency in digital finance. #AI #Fintech #AgenticAI #Payments #Compliance #DigitalFinance #JPMorgan

5 Ways AI Is Reshaping Finance Right Now (Banks and financial firms are using AI to cut risks, boost profits, and make smarter decisions.) 1. Fraud Detection ↳ AI scans millions of transactions in real-time, flagging suspicious activity instantly. Banks using AI for fraud prevention have cut losses by 50%. 2. Algorithmic Trading ↳ AI-driven systems execute 60%+ of stock trades, reacting to market shifts in milliseconds. This improves accuracy, reduces human error, and maximizes returns. 3. Credit Risk Assessment ↳ AI-powered credit scoring analyzes thousands of data points, helping banks approve loans 30% faster while reducing default risk. 4. Personalized Banking ↳ AI chatbots and virtual assistants handle 80% of routine banking questions, cutting wait times and improving customer satisfaction. 5. Wealth Management ↳ AI-driven robo-advisors manage over $1 trillion in assets, offering smart investment strategies with lower fees. AI is transforming finance - are you using it to stay ahead? ______________________ AI Consultant, Course Creator & Keynote Speaker Follow Ashley Gross for more about AI

At first glance, the numbers might seem modest - we're talking about cost base reductions ranging from 7% to 30% across different functions. But here's where it gets interesting: in financial services, we're dealing with massive cost bases. Let's break this down: Take customer service, showing the highest potential reduction at 20-30%. For a major bank spending $1 billion annually on customer service operations (not uncommon for large institutions), we're looking at $200-300 million in annual savings. From a single function. Even the seemingly modest 7-12% reduction in HR costs can translate to tens of millions for large financial institutions. And this is projected to happen in just 2-3 years - not some distant future. The most striking insight from Bain & Company's analysis is how generative AI's impact varies across functions: Customer-facing operations see the biggest gains (20-30%) Risk and compliance follows closely (15-25%) Middle/back office and marketing share similar ranges (10-15%) IT shows interesting variance (8-20%) HR, while lowest, still promises significant savings (7-12%) What's particularly fascinating is the concentration of higher savings in areas requiring complex decision-making and customer interaction. This suggests AI isn't just automating simple tasks - it's augmenting high-value human activities.

Over the past few months, I’ve spoken with leaders across financial services who are rethinking how their teams work. Many see AI as a lever to reshape decision-making, speed up knowledge flow, and streamline operations, well ahead of the predicted 2030 transformation. Lenders are referencing past deals in seconds. Bankers walk into meetings with autogenerated client briefs. Analysts produce investment memos in minutes. Even onboarding is faster, powered by AI that surfaces internal knowledge instantly. At Glean, we’re seeing this in action. One investment firm drove over $1M in productivity gains, with 98% of employees using Glean. A fintech saved 1,500+ hours monthly—delivering 17× ROI. Another firm cut onboarding time by 36 hours per hire. These are live systems in high-stakes environments delivering measurable impact. In high-trust, high-context industries like finance, the value of AI goes beyond efficiency and is about creating workflows that are faster, smarter, and aligned with how humans make complex decisions. https://lnkd.in/gZPHkZq7

Pleased to share the result of a groundbreaking study I participated recently - "AI Takes Center Stage: Survey Reveals Financial Industry’s Top Trends for 2024" by Kevin Levitt at NVIDIA.   Here are some key insights:   ✅ 91% of financial services companies are either assessing or already using AI to drive innovation, improve efficiency, and enhance customer experiences. ✅ Top AI Use Cases in Financial Services: Portfolio optimization Fraud detection Risk management Generative AI gaining popularity for uncovering new efficiencies. ✅ 55% actively seeking generative AI workflows, with applications ranging from marketing to synthetic data generation. ✅ AI impact across departments: Operations Risk and compliance Marketing ✅ AI is delivering results with 43% reporting improved operational efficiency and 42% gaining a competitive advantage. ✅ Data-related challenges now take the spotlight, including privacy, sovereignty, and scattered global data. ✅ Despite challenges, 97% of companies plan to invest more in AI technologies. Focus areas include identifying additional use cases, optimizing workflows, and increasing infrastructure spending. ✅ 86% report a positive impact on revenue, 82% note reduced costs, and 51% strongly agree that AI is crucial for future success. ✅ To build impactful AI, financial institutions are prioritizing comprehensive AI platforms, collaborative environments, and high-yield use cases.   Download the Full Report: "State of AI in Financial Services: 2024 Trends" for deeper insights and results. Let's embrace the future of finance with AI!   #AITrends #GenerativeAI #FinancialServices #FinTech #CEOs #boardofdirectors   Link to the full report: https://lnkd.in/g3K5yUNV   Subscribe to #CXOSpice newsletter (https://lnkd.in/gy2RJ9xg) and #CXOSpice Youtube channel (https://lnkd.in/gnMc-Vpj) and tune in for the upcoming blog on “Pioneering Women Leadership in Tech – A Journey Through Innovation”. We will be featuring Splunk on "Resilient Customer Experience" in the upcoming episode.  

The finance department, often deemed as one of the more mundane areas, is undergoing a remarkable transformation with the advent of AI technology. While initially met with skepticism, AI has now become a pivotal force in revolutionizing financial processes. AI-driven solutions are revolutionizing the field by enhancing speed, precision, and strategic insights. Here are some compelling real-world applications: - **Automated Reconciliation & Close**: Previously, tasks like reconciling transactions were laborious. Now, AI engines streamline this process by automatically matching transactions from the ERP, reducing manual effort significantly. Deloitte's research indicates that AI-driven reconciliation can slash manual processing by up to 80%, leading to substantial cost savings for large enterprises. - **Intelligent Invoice Processing and OCR**: Handling a high volume of invoices manually is daunting for many businesses. AI-powered OCR tools now facilitate swift and accurate invoice processing, enabling real-time expense categorization and cross-verification with purchase orders. Organizations leveraging AI-enabled OCR reportedly process invoices 2.4 times faster and at a 60% lower cost, as per APQC. - **Smart Vendor & Customer Management**: AI aids in managing suppliers and customers efficiently. By automating tasks like matching supplier invoices to internal records and predicting late payments for accounts receivable, AI enhances operational efficiency. Research by Gartner reveals that automated AR collections can reduce Days Sales Outstanding (DSO) by 10-20%, optimizing working capital utilization. The integration of AI in finance is reshaping traditional practices, offering unprecedented opportunities for improvement and innovation. It's truly a transformative era for the financial landscape! #AI #FinanceTransformation NAKAD Sambhav Jain Avinash Uttav Chinmaya Gawde Bikash Ranjan Mishra Akash Kejriwal Arun Yadav Raman S.

AI isn’t replacing accountants. It’s replacing repetitive accounting. The accounting function is evolving, and fast. Here’s how AI is making its mark: 1. Automating manual tasks Think invoice processing, reconciliations, and data entry, what used to take hours now happens in minutes. 2. Real-time reporting No more waiting for month end. AI enables faster access to insights, helping teams respond quickly to what’s happening now. 3. Smarter forecasting Budgets and projections are becoming more dynamic, factoring in trends and patterns that humans alone might miss. 4. Risk & compliance monitoring AI is flagging anomalies and inconsistencies in real-time, reducing fraud and audit risks. So what does this mean for you? - Less number crunching. More analysis. - Less reactive. More strategic. - Less focus on process. More focus on impact. To stay relevant, accountants need to evolve from recorders of the past to advisors for the future. Start by learning how AI works, how to ask better questions of data, and how to turn insights into action. Because the future of accounting isn’t just automated…… It’s augmented. #cfo #ai #fractionalcfo #accounting #finance