Category: AI & Finance

  • ChatGPT for Board Pack Preparation: From Data to Deck

    ChatGPT for Board Pack Preparation: From Data to Deck

    Board pack preparation is one of the most punishing recurring tasks in a finance function. The data arrives late, the narrative has to be rebuilt from scratch every quarter, and the same twelve slides somehow consume three full days of a controller’s time. Worse, the work is rarely a single linear task. It is a…

  • Claude Code for Automating Intercompany Reconciliation

    Claude Code for Automating Intercompany Reconciliation

    Intercompany reconciliation is one of the most persistent bottlenecks in the monthly close. Every legal entity in a group trades with every other entity, and each transaction creates a mirror-image pair of entries: an intercompany receivable in one set of books and an intercompany payable in another. In theory, these should offset perfectly. In practice,…

  • AI for Inventory Accounting: Automate Cost Flow Assumptions

    AI for Inventory Accounting: Automate Cost Flow Assumptions

    Inventory accounting is where financial reporting meets operational reality, and the two rarely agree. Controllers and cost accountants spend days each month reconciling perpetual records to physical counts, rebuilding layer histories for LIFO, recalculating weighted-average costs after every receipt, and tracing variances back through purchase orders, freight invoices, and production runs. The work is repetitive,…

  • ChatGPT for Working Capital Optimization

    ChatGPT for Working Capital Optimization

    Working capital is where financial strategy meets operational reality. CFOs and controllers know the symptoms well: cash trapped in inventory that isn’t moving, receivables stretching past terms, payables paid early out of habit rather than policy, and a cash conversion cycle that quietly lengthens quarter after quarter. The frustrating part is not the lack of…

  • Claude Cowork for Financial Due Diligence in M&A

    Claude Cowork for Financial Due Diligence in M&A

    Financial due diligence in M&A is a race against the clock with the highest possible stakes. Buy-side teams typically receive a target’s data room — trial balances, monthly management accounts, aged AR and AP ledgers, bank statements, payroll registers, revenue contracts — with four to six weeks to form a view on quality of earnings,…

  • AI for Lease Accounting: Automate IFRS 16 Calculations

    AI for Lease Accounting: Automate IFRS 16 Calculations

    IFRS 16 turned lease accounting into a data engineering problem, but most finance teams still attack it with spreadsheets. Every contract must be assessed for whether it contains a lease, then translated into a right-of-use asset, a lease liability, a discount rate, a lease term with renewal and termination options, and a repayment schedule that…

  • ChatGPT for Credit Risk Analysis in Corporate Banking

    ChatGPT for Credit Risk Analysis in Corporate Banking

    Corporate credit risk analysis is one of the most document-heavy workflows in banking. A single mid-market borrower can generate a 60-page annual report, two years of management accounts, a covenant compliance certificate, an auditor’s letter, and a dozen email threads with the relationship manager. Before a credit committee even meets, an analyst must reconcile all…

  • Claude Code for ESG Reporting Automation

    Claude Code for ESG Reporting Automation

    ESG reporting has become one of the most resource-intensive obligations in the finance function. Between the CSRD, ISSB standards, CDP questionnaires, and an ever-expanding list of investor requests, controllers and CFOs are being asked to produce disclosure-grade sustainability data on a quarterly cadence — often using the same spreadsheets and manual processes that were built…

  • AI for Transfer Pricing Documentation: Automate OECD Compliance

    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 file and master file requirements, and country-by-country reporting, a single mid-sized multinational can spend hundreds of hours each year assembling intercompany agreements, benchmarking studies, and functional analyses. The work is…

  • ChatGPT for Accounts Receivable: Automate Collections and Aging Reports

    ChatGPT for Accounts Receivable: Automate Collections and Aging Reports

    Accounts receivable is where cash flow gets won or lost, yet most finance teams still run it on manual effort. A controller exports an aging report from the ERP, pastes it into Excel, sorts by days past due, then writes the same follow-up emails that went out last month. The work is repetitive, it scales…