Category: AI & Finance
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ChatGPT for Credit Risk Analysis in Corporate Banking
Corporate credit risk analysis has always been a discipline of patience. A single credit memo for a mid-market borrower can require pulling apart three years of audited financials, reconciling them against management accounts, mapping covenant headroom, stress-testing cash flow under two or three downside scenarios, and then writing it all up in a format that…
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Claude Code for ESG Reporting Automation
ESG reporting has become one of the most resource-intensive obligations in the finance function. Between CSRD, ISSB, and the growing patchwork of jurisdictional disclosure rules, controllers and CFOs are being asked to produce sustainability statements with the same rigor as financial statements — but without the mature systems, standardized data pipelines, or trained staff that…
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AI for Transfer Pricing Documentation: Automate OECD Compliance
Transfer pricing documentation has become one of the most resource-intensive obligations in the finance function. Between the OECD’s Base Erosion and Profit Shifting framework, local country filing requirements, and the sheer volume of intercompany transactions that need to be benchmarked and justified, controllers and tax directors routinely spend weeks assembling a single local file. The…
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ChatGPT for Accounts Receivable: Automate Collections and Aging Reports
Accounts receivable is where cash flow quietly leaks. Every month, controllers and their teams rebuild the same aging report by hand, chase the same overdue invoices with slightly different wording, and reconcile payment promises scattered across email threads, spreadsheets, and ERP notes. The work is repetitive but not simple: it demands judgment about which customers…
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AI for Capital Budgeting: Automate NPV, IRR and Payback Analysis
Capital budgeting remains one of the most consequential and most tedious responsibilities in corporate finance. Every year, controllers and financial analysts receive dozens of project proposals — new equipment, facility expansions, software migrations, acquisitions — each with its own assumptions, timelines, and cash flow estimates. Building a defensible NPV, IRR, and payback model for every…
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ChatGPT for Supply Chain Finance: Dynamic Discounting and Reverse Factoring
Supply chain finance programs live or die on two things: the speed at which a buyer can evaluate an early-payment offer, and the precision with which a treasury team can price the trade-off between holding cash and capturing a discount. Most mid-market and enterprise finance teams still run this analysis in spreadsheets that were built…
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Claude Cowork for R&D Tax Credit Documentation
The R&D tax credit is one of the most valuable incentives available to growing companies, yet it remains chronically underutilized—not because of eligibility issues, but because of documentation failures. CFOs and controllers know the pain: engineers write notes in scattered tools, project managers track milestones in spreadsheets that never get updated, and by the time…
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AI for Purchase Price Allocation in Business Combinations
The close of a business combination is a moment of triumph—and, for most finance teams, the beginning of a uniquely stressful compliance exercise. Purchase Price Allocation (PPA) under ASC 805 or IFRS 3 requires you to take the total consideration paid and assign fair value to every identifiable tangible and intangible asset, as well as…
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ChatGPT for Treasury Risk Management: FX and Interest Rate Exposure
For most mid-market CFOs and controllers, the monthly treasury close is a quiet exercise in controlled anxiety. You open the exposure report, see a net EUR receivable of €4.2 million against a USD functional currency, and know—statistically—that a 300-basis-point swing in EUR/USD could erase 15% of your quarterly operating margin. The problem is not that…
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Claude Code for Automated Flux Analysis
Every month-end, the same ritual plays out across finance teams worldwide. The trial balance closes, the actuals land, and suddenly the variance analysis becomes a frantic scramble. Controllers and financial analysts open spreadsheets with hundreds of line items, filter for movements above the materiality threshold, and begin the painstaking process of writing explanations that satisfy…