AI in Finance

AI is reshaping the way contracts are created, managed, and enforced, and that includes the security provisions you rely on to protect your organization. As someone responsible for contract risk management, you need to understand how AI changes the risk landscape and what contract clauses and operational controls you should demand, negotiate, and monitor. This article gives you clear, actionable guidance so you can incorporate AI awareness into contract security provisions and keep your organization safe and productive.

AI is changing how you predict revenue and convert pipeline opportunities into closed deals. This article gives you practical, business-focused guidance on how AI shifts the day-to-day work of sales leaders, revenue operations, finance teams, and sellers, and how you can increase productivity across forecasting and pipeline conversion activities. You’ll find explanations of key concepts, implementation advice, governance considerations, and concrete steps you can take to pilot, measure, and scale AI-driven forecasting and pipeline conversion improvements in your organization.

You’re standing at a moment when AI is no longer an abstract capability but a practical tool shaping how companies engage customers. In customer success, that shift is especially powerful: AI helps you move from reacting to problems after they appear to proactively reaching out, anticipating needs, and sharing timely industry insights that increase retention and lifetime value. This article walks you through how AI is changing customer success, what you need to get started, practical use cases across industries, implementation advice, and how to measure impact so you can make better decisions and get results faster.

You’re stepping into a world where contract negotiation is rapidly evolving because AI is becoming a practical partner — not a sci-fi substitute for human judgment. This article walks you through how AI is changing negotiation workflows, what you should teach your team, how to build programs and tools that actually help negotiators make smarter decisions, and how to measure success. You’ll get concrete strategies for strategic partnerships, partnership negotiation and structuring, and contract negotiation tactics tailored to your industry. The goal is simple: help you increase negotiation effectiveness, reduce risk, and speed up deal cycles while keeping humans squarely in the driver’s seat.

You’re working in product management, and the amount of product content you need to create, maintain, and optimize is growing faster than your team can handle. AI offers a real lever to scale this work, but using it effectively requires strategies that align with product workflows, PIM systems, and business objectives. In this article you’ll find practical, actionable approaches to apply AI across the product content lifecycle — from generating accurate descriptions and managing variants to localization, personalization, and governance. The goal is to make AI a productivity multiplier that helps you deliver better product experiences while keeping control, quality, and compliance intact.

You’re operating in a world where uptime, throughput, and safety matter every minute, and AI is changing the rules of the game for operations management. This article helps you understand how AI technologies are reshaping production support and maintenance planning, what practical use cases you can deploy today, and how to integrate AI into existing systems and teams. You’ll get focused facts and actionable advice tailored to business people working across manufacturing, utilities, oil & gas, and other asset-intensive sectors, with clear guidance on increasing productivity through smarter incident handling, predictive maintenance, and optimized planning.

The intersection of AI and FP&A isn’t just about automating processes; it’s about enhancing the strategic value you can deliver to your organization. Imagine being able to predict market trends with greater accuracy or automatically generate reports that offer real-time insights into your organization’s financial health. AI achieves this by leveraging machine learning, natural language processing, and advanced data analytics, revolutionizing the FP&A landscape as you know it.

AI brings a transformative approach to credit scoring by leveraging machine learning (ML) algorithms to analyze vast amounts of data. These algorithms can uncover patterns and trends that traditional scoring systems often overlook. For example, AI can incorporate alternative data sources, such as social media activity or utility payment history, providing a more comprehensive view of an individual’s financial behavior. This shift not only enhances the accuracy of credit assessments but also fosters greater financial inclusion by allowing those with limited credit history a chance to build their credit ratings.

In private equity and venture investment, dealing with vast amounts of data is commonplace. Whether evaluating a startup’s viability or assessing the performance of a portfolio company, the sheer volume of information can be overwhelming. AI algorithms can sift through this data much faster and more accurately, providing insights that would have otherwise required extensive manual effort. This ability can significantly reduce time spent on due diligence and improve investment decision-making regarding where to allocate funds.

The financial services industry has always been at the forefront of technological advancement. From the introduction of electronic trading systems to mobile banking applications, financial institutions often serve as early adopters of new technologies. AI is no exception. With machine learning and deep learning transforming the way data is processed and analyzed, you may wonder how this affects you as a professional in finance.

When you think about how your finance department works, you probably visualize a room filled with spreadsheets, accountants, and financial analysts poring over numbers. AI can change that image dramatically. With AI tools in place, the finance team can focus more on strategy and less on the repetitive tasks that have bogged them down for years. By leveraging AI for reconciliation and reporting, not only can you improve accuracy, but you also streamline processes, reduce costs, and free up time for more valuable analytical work.

In the rapidly evolving landscape of finance, there’s a buzzing transformation driven by technology, and at the forefront of this