Practical guides on AI financial modeling, DCF analysis, and Excel templates for CFOs and corporate finance teams.
A framework for financial controllers using AI to support accrual and provision calculations and document the judgment behind every estimate, without letting AI quietly make the judgment call.
Read article →How financial controllers use AI to triage and respond to PBC (prepared-by-client) lists faster, with a prompt for matching auditor requests to existing documentation and flagging real gaps early.
Read article →How AI helps financial controllers catch consolidation errors across multi-entity groups — intercompany eliminations, FX translation consistency, and chart-of-accounts mapping — before they reach the consolidated statements.
Read article →How financial controllers use AI to draft journal entries from source documents, check account coding, and catch implausible entries before they post — with a copyable review prompt.
Read article →How to use AI inside Excel to turn KPI dashboards into plain-language management commentary, with a prompt for translating a metrics table into something a non-finance reader actually understands.
Read article →How AI helps financial controllers flag reconciliation exceptions faster across bank, intercompany, and balance sheet accounts — with a prompt for prioritizing what to investigate first.
Read article →How to use AI to build and maintain a rolling 13-week cash flow forecast in Excel, including a scenario-planning prompt for best/base/worst case in minutes instead of hours.
Read article →How financial controllers use AI to turn management accounts into a board-ready narrative — structure, prompt, and the review checklist that keeps it accurate.
Read article →A before/after walkthrough of AI-powered variance analysis and flux commentary for financial controllers — what to feed the model, what to check, and a copyable prompt for your next close.
Read article →A step-by-step playbook for using AI in the month-end close — which tasks to automate, where the human checkpoint sits, and a copyable prompt to narrate your close status in under five minutes.
Read article →A working definition of the AI-augmented Financial Controller — what it means, the three layers of augmentation, the skills required, and a practical six-month roadmap for 2026.
Read article →A practical guide to AI adoption for Controllers — what AI actually does in a close workflow, which tools matter, how to build your first AI-integrated process, and how to govern it without audit risk.
Read article →A practical architecture and step-by-step guide for connecting Claude to your financial data — from raw exports to AI-generated reports, with a human checkpoint.
Read article →Compare the best AI financial modeling tools for CFOs in 2026. From Excel-native templates to enterprise SaaS platforms — find what fits your team's size and data privacy requirements.
Read article →Compare the best DCF model templates available in 2026. From free learning tools to AI-powered professional-grade models — find the right template for your valuation work.
Read article →AI DCF analysis reduces modeling time from 4–6 hours to under 30 minutes, eliminates the three most common error sources, and lets finance teams run 10x more scenarios. Here's how it works.
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