Category: AI & Finance

Every CFO knows the sinking feeling of reviewing month-end close and discovering that Days Sales Outstanding (DSO) has crept up by three days, or that inventory turnover has slowed to a crawl. Working capital is the lifeblood of any organization, yet it remains one of the most stubbornly opaque areas of financial management. The friction…

Financial due diligence in M&A is a brutal numbers game. Teams spend hundreds of hours manually extracting line items from PDFs, reconciling discrepancies across data rooms, and building sensitivity models that are often obsolete by the time the investment committee reviews them. The average mid-market deal requires reviewing 2,000 to 5,000 pages of financial statements,…

For any finance team dealing with lease portfolios, IFRS 16 has been a persistent source of friction since its effective date. The standard requires lessees to recognize nearly all leases on the balance sheet, which sounds straightforward until you face the reality: extracting lease data from fragmented contracts, determining incremental borrowing rates, calculating right-of-use (ROU)…

Corporate credit risk analysis is drowning in data. Analysts at commercial banks and corporate lending institutions routinely spend 40 to 60 percent of their time manually extracting financial figures from PDF filings, cross-referencing industry benchmarks, and formatting covenant compliance reports. The core problem is not a lack of information—it is the friction between raw data…

AI for Transfer Pricing Documentation: Automate OECD Compliance For multinational enterprises, transfer pricing documentation is one of the most resource-intensive compliance burdens in existence. Every year, finance teams spend hundreds of hours compiling Master Files, Local Files, and Country-by-Country reports that must satisfy the OECD Transfer Pricing Guidelines and local tax authority requirements across dozens…

ChatGPT for Accounts Receivable: Automate Collections and Aging Reports The accounts receivable function is the lifeblood of cash flow, yet it remains one of the most manually intensive processes in finance. Every month, controllers and analysts spend dozens of hours pulling aging reports from ERP systems, cross-referencing payment histories, drafting collection emails, and chasing down…

ChatGPT for Segment Reporting Under IFRS 8 For finance teams navigating IFRS 8, segment reporting is rarely a straightforward exercise. The standard requires entities to disclose information about operating segments in a way that aligns with how management internally reviews performance—the so-called “management approach.” Yet, the friction is real: reconciling internal management reports to external…

Claude Cowork for Quarterly Earnings Call Preparation The quarterly earnings call is arguably the highest-stakes communication event for any publicly traded company. For CFOs, controllers, and financial analysts, the preparation cycle is a grind of spreadsheets, legal reviews, slide decks, and script rehearsals that typically consumes three to four weeks. The pain is acute: you…

AI for Payroll Accounting: Automate Accruals and Allocations Payroll accounting is one of the most repetitive yet high-stakes tasks in any finance department. Every month, controllers and analysts face the same friction: manually calculating accrued wages for hours worked but not yet paid, splitting payroll taxes across multiple cost centers, and reallocating labor costs when…

Claude Code for Automating Intercompany Reconciliation Intercompany reconciliation serves as a critical function within multinational corporations, ensuring that transactions between different entities are accurately recorded and balanced. However, the process often presents significant challenges, creating friction for financial teams. Disparate accounting systems, manual data entry errors, and the sheer volume of transactions can lead to…