Category: AI & Finance

For any CFO or controller managing a business with significant inventory, the quarterly exercise of applying cost flow assumptions—FIFO, LIFO, weighted average, or specific identification—remains one of the most manual, error-prone, and politically charged processes in the accounting close. Spreadsheets multiply across departments, procurement data lives in one system, warehouse movements in another, and the…

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)…

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…

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…

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…

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 Inventory Accounting: Automate Cost Flow Assumptions For decades, inventory accounting has been one of the most labor-intensive and error-prone areas of the finance function. CFOs and controllers grapple with the complexities of cost flow assumptions—FIFO, LIFO, weighted average, and specific identification—while managing thousands of SKUs, fluctuating purchase prices, and multi-entity consolidations. A single…